CiteNScope — Scholarly Index & Analytics
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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 43/43 recordsLast OpenAlex observation 22 Oct 2026, 07:38 UTC
PUBLICATIONS43In the selected collection
CROSSREF CITATIONS16843/43 with known counts
OPENALEX CITATIONS30043/43 with known counts
OPENALEX MEAN6.98Per article with a known count
Explore articles 43 →
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institution: Istanbul Medipol University Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

View data & coverage

Citations received

OpenAlex · year of the citing work

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Istanbul Medipol University43Konya Food and Agriculture University2Istanbul University243/43 records with data

Countries

Turkey43Laos1United States143/43 records with data

Primary topics

Employer Branding and e-HRM3Monetary Policy and Economic Impact1Corporate Finance and Governance143/43 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

Crossref and OpenAlex · separate totals for the same publication cohorts

Hover over a year or focus the chart and use arrow keys to inspect values.

Latest lifetime totals, grouped by the cited article’s year. These are not citations received in that year.

View data & coverage

Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

Hover over a year or focus the chart and use arrow keys to inspect values.

2017–2026 annual-history window. 2026 is year to date. Unknown years have gaps.

View data & coverage
Annual history: 43/43 articles. Latest history observation: 2026-10-22T07:38:18.273817+00:00. Source totals are never added together.
Research side by side

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Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

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Display range
Bussecon Review of Social SciencesInternational Journal of Business Ecosystem & StrategyInternational Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

2026 is year to date. Crossref and OpenAlex lifetime charts share a citation scale. Unknown observations appear as gaps; known zero stays zero. Annual receipts use available OpenAlex histories and may not sum to lifetime totals. 0 undated publications excluded from publication-year charts.

Full analytics report All distributions, publications, comparisons & data provenance
43 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS43
CROSSREF CITATIONS168
CROSSREF · CITED PUBLICATIONS69.8%
CROSSREF · MEAN CITATIONS3.91

Crossref citation coverage: 43 / 43 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS300
DOI MATCH COVERAGE100.0%43 / 43 publications
MEAN · KNOWN COUNTS ONLY6.9843 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3

Observation range: 22 Oct 2026 01:04 UTC — 22 Oct 2026 07:38 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations101–5206–201021+3Unknown0

Institutions, countries & topics

OpenAlex affiliations and primary-topic classification. Each publication counts once per institution or country; multi-affiliated publications appear in multiple groups, so percentages can sum above 100%. Countries describe author affiliations, not nationality. Topics use one primary topic per publication.

Institutions

43 / 43 with data · 0 missing or unmatched. Percentages use all 43 selected publications.

Countries

43 / 43 with data · 0 missing or unmatched. Percentages use all 43 selected publications.

Primary topics

43 / 43 with data · 0 missing or unmatched. Percentages use all 43 selected publications.

Employer Branding and e-HRM3 7.0%Monetary Policy and Economic Impact1 2.3%Corporate Finance and Governance1 2.3%Multi-Criteria Decision Making1 2.3%Corporate Social Responsibility Reporting1 2.3%Consumer Behavior in Brand Consumption and Identification1 2.3%Quality and Supply Management1 2.3%Public Policy and Administration Research1 2.3%Innovations in Medical Education1 2.3%Blockchain Technology Applications and Security1 2.3%Efficiency Analysis Using DEA1 2.3%International Business and FDI1 2.3%Religion, Spirituality, and Psychology1 2.3%Financial Literacy, Pension, Retirement Analysis1 2.3%Digital Marketing and Social Media1 2.3%Digital Transformation in Industry1 2.3%Environmental Sustainability in Business1 2.3%Market Dynamics and Volatility1 2.3%International Development and Aid1 2.3%Stock Market Forecasting Methods1 2.3%Islamic Finance and Banking Studies1 2.3%Credit Risk and Financial Regulations1 2.3%Anomaly Detection Techniques and Applications1 2.3%Consumer Retail Behavior Studies1 2.3%Intellectual Capital and Performance Analysis1 2.3%Big Data and Business Intelligence1 2.3%Emotional Labor in Professions1 2.3%Management and Marketing Education1 2.3%Global Healthcare and Medical Tourism1 2.3%Stress and Burnout Research1 2.3%Leadership and Management in Organizations1 2.3%Digital Innovation in Industries1 2.3%Management Theory and Practice1 2.3%AI and HR Technologies1 2.3%Contemporary and Historical Greek Studies1 2.3%Economic and Technological Innovation1 2.3%Impact of AI and Big Data on Business and Society1 2.3%Big Data Technologies and Applications1 2.3%Banking Systems and Strategies1 2.3%Post-Communist Economic and Political Transition1 2.3%Sustainability and Innovation in Business1 2.3%
Citation year / OpenAlex

Citations received over time

Incoming citations to the selected publications, grouped by the year of the citing work. This is separate from lifetime citation totals grouped by the cited article’s publication year.

The publication filters above define which articles receive the citations. The citation-year range below only controls this chart and the incoming-citation comparison. Removing publication-year filters includes older articles’ incoming citations too.

Annual history available for 43 / 43 selected publications. Supported display window: 2017–2026; 2026 is incomplete. Within a successfully fetched ten-year window, omitted years mean zero. Missing histories and years beyond a saved observation’s window remain unknown (—); partial coverage can understate totals.

Annual-history observations (UTC): 2026-10-22T01:04:38.938722+00:00 — 2026-10-22T07:38:18.273817+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

4623.00 2017 · All selected publications · OpenAlex · Citations received by year: 12 · Annual history coverage 43/432018 · All selected publications · OpenAlex · Citations received by year: 14 · Annual history coverage 43/432019 · All selected publications · OpenAlex · Citations received by year: 37 · Annual history coverage 43/432020 · All selected publications · OpenAlex · Citations received by year: 31 · Annual history coverage 43/432021 · All selected publications · OpenAlex · Citations received by year: 46 · Annual history coverage 43/432022 · All selected publications · OpenAlex · Citations received by year: 37 · Annual history coverage 43/432023 · All selected publications · OpenAlex · Citations received by year: 38 · Annual history coverage 43/432024 · All selected publications · OpenAlex · Citations received by year: 28 · Annual history coverage 43/432025 · All selected publications · OpenAlex · Citations received by year: 37 · Annual history coverage 43/432026 · All selected publications · OpenAlex · Citations received by year: 12 · Annual history coverage 43/43 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications124343/43
2018All selected publications144343/43
2019All selected publications374343/43
2020All selected publications314343/43
2021All selected publications464343/43
2022All selected publications374343/43
2023All selected publications384343/43
2024All selected publications284343/43
2025All selected publications374343/43
2026All selected publications124343/43

Counts represent citation links, not unique citing papers across a journal: one paper citing two selected articles contributes two links. Older citations outside this window are excluded, so annual sums need not equal lifetime totals. OpenAlex methodology ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean3.91
Median2
No citations131–5236–20521+2Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
Bussecon Review of Social Sciences
Bussecon International Academy
434424/48.57.075.04/4 · 100.0%
International Journal of Business Ecosystem & Strategy
Bussecon International Academy
12528012/124.332.075.012/12 · 100.0%
International Journal of Finance & Banking Studies
SSBFNET
738947/75.43257.17/7 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
20448420/202.22.070.020/20 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 43 →

Most cited · Crossref

JOURNAL ARTICLE

The evolving role of automated systems and its cyber-security issue for global business operations in Industry 4.0

Umit Hacioglu · Gul Sevgilioglu

International Journal of Business Ecosystem & Strategy · 2019

Read abstract

Nowadays, effective business performance depends on digital competitive factors and its ability to transform corporate capabilities in the light of digitalization. In this study, the evolving role of automated systems for global business operations in the era of Industry 4.0 has been assessed from a theoretical perspective with a practical approach. It is aimed to demonstrate the role of high technologies in an effective supply chain management system with new technological components and cyber-security issues of automated vehicles in SCM. This study highlights that developments in Artificial Neural Networks, Image Processing, Multi-Purpose Decision-Making, Blurred Linguistic Variables, and automated systems increase the performance of the supply chain management system and boost business performance. It is also shown that the evolving role of the automated system requires capital investments on Research and Development efforts

DOI 10.36096/ijbes.v1i1.10530 Crossref citations39 OpenAlex citations
JOURNAL ARTICLE

CAMELS-based Determinants for the Credit Rating of Turkish Deposit Banks

Serhat Yuksel · Hasan Dincer · Umit Hacioglu

International Journal of Finance & Banking Studies · 2015

Read abstract

This paper demonstrates the relationship between CAMELS ratios and credit ratings of deposit banks in Turkey. Annual data was used for the period between 2004 and 2014 in this study. Moreover, 20 deposit banks of Turkey were analyzed and 21 different ratios of CAMELS components were used. In addition to that, credit ratings of these banks were provided from Moody’s corporation or annual activity reports of the banks. After that, we created multi nominal logistic regression analysis in order to illustrate the relationship. The major finding in this study is that three components (Asset Quality, Management Quality, and Sensitivity to Market Risk) of CAMELS have effects on credit ratings whereas the ratios related to Capital Adequacy and Earnings are not effective. As a result, it was recommended that Turkish deposit banks should concentrate on the percentage of fixed assets and interest income to have a better rating. Moreover, having high market share with respect to total assets and lower interest expense are also other important points for this purpose. On the other hand, Turkish deposit banks should control the proportion of financial assets and increase the amount of FX liquid assets to prevent credit ratings to decrease. Additionally, market share of banks for loans should not reach at high level for this objective.

DOI 10.20525/ijfbs.v4i4.3529 Crossref citations68 OpenAlex citations
JOURNAL ARTICLE

Examining the use of artificial intelligence in recruitment processes

Ugur Karaboga · Pelin Vardarlier

Bussecon Review of Social Sciences · 2020

Read abstract

The recruitment process is more of an issue for many businesses. The process of determining the appropriate candidate to hire is often a costly, time-consuming process. Besides, due to incorrect decision-making or lack of objectivity in hiring processes, recruitment processes may not proceed effectively. Businesses are trying to use technology in their recruitment processes to avoid these problems. Currently, many businesses use internet and software technologies to receive applications and evaluate candidates. But despite these technologies, it takes time and additional personnel costs for people to coordinate all processes. Due to these and similar situations, there has been an increase in the use of artificial intelligence technologies in recruitment processes in the world recently. The use of artificial intelligence in recruitment processes has the effect of reducing costs and decision-making errors and appears to be beneficial in saving time. In this study, the use of artificial intelligence in the recruitment processes of businesses in Turkey was examined. In this context, interviews were conducted with the human resources managers of 22 businesses. According to research results, it was understood that artificial intelligence was benefited only as an auxiliary element in recruitment processes. It has been found that businesses do not rely much on artificial intelligence in their recruitment processes, so they do not use it or partially use it.

DOI 10.36096/brss.v2i4.23420 Crossref citations24 OpenAlex citations
JOURNAL ARTICLE

Boosting Resilience through Spiritual Well-being: COVID-19 Example

Elif Baykal

Bussecon Review of Social Sciences · 2020

Read abstract

Spiritual well-being is the affirmation of one’s life in a relation to external world, one’s ownself and a transcendental power like God. It reflects positive feelings, attitudes, and perceptions leading to a sense of identity, wholeness, peace, harmony, and purpose in life. In this study, it is predicted that individuals with high spiritual well-being will be more spiritually resistant during the COVID-19 pandemic, which is one of the most noteworthy periods when people need to be psychologically strong and resilient. In this study, resilience has been defined as the individual endurance against difficulties and the ability to bounce back and even get better. Hence we hypothesized that spiritual well-being of individuals will be effective on their resilience. We conducted our study in Turkey among adults older than 20 years old. We obtained 384 usable data and we analysed our date by using SPSS 20.0 program. Results confirmed the assumption of this study, regarding spiritual well-being/ resilience relationship.

DOI 10.36096/brss.v2i4.22413 Crossref citations17 OpenAlex citations
JOURNAL ARTICLE

The Effect of Positive Psychological Capital on Emotional Labor

Idil Tamer

International Journal of Research in Business and Social Science · 2015

Read abstract

In modern age, positive psychological capital is as important as financial capital for organizational development and sustainability. Efficacy, hope, optimism, and resilience are the dimensions of positive psychological capital. Emotional labor is defined by Hochschild as control of self emotions at work by workers who have a high degree of contact with coworkers within the organization or with external clients, so as to create an expression, voice or body gesture which is acceptible to the clients. Emotional labor is analysized under three components: surface acting, deep acting and naturally felt emotions. This study is aimed to investigate the impact of positive psychological capital on emotional labor. So a research is conducted with the aim of exploring the relationship between the sub-dimensions of psychological capital and emotional labour.

DOI 10.20525/ijrbs.v4i2.238 Crossref citations15 OpenAlex citations

Selected results

JOURNAL ARTICLE

Determining elderly care home selection criteria and prioritizing strategies using Swara method

Yeter Uslu · Busra Sevim · Selenay Koc · Sefer Aygun

Bussecon Review of Social Sciences · 2025

Read abstract

There has been an increase in the elderly population worldwide in recent years. This situation creates some needs both at individual and social level. In particular, elderly individuals need support in carrying out their daily activities. Therefore, elderly care centers are seen as an important supporter in this respect. This study aims to identify the criteria affecting the selection of elderly care centers and prioritize them with SWARA method. The SWARA method was used to weight the criteria affecting the selection of elderly care centers in order of priority. Eight criteria identified through literature review were evaluated by five experts experienced in the relevant field. The experts evaluated the criteria by ranking them according to their importance and the final prioritization was carried out by taking the geometric mean of the evaluations. According to the results of the analysis, the most important factor affecting the selection of an elderly care center was the Quality-of-Life Comfort and Service with a weight of 22%. This was followed by Financial Status with 20%, Health Services with 16%, and Professional Staff with 13%. Location and Transportation criterion was determined as the least important factor with a weight of 0.7%. The fact that life comfort and service quality have the highest weight indicates that elderly individuals expect a quality and comfortable living environment. The results obtained from the study show that policies for elderly care homes should be organized in a way that aims to increase the comfort of living, improve service quality, ensure economic accessibility and ensure the sustainability of health services.

DOI 10.36096/brss.v7i1.7551 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Assessing the future prospects for cryptocurrencies

Hatice Karahan

International Journal of Business Ecosystem & Strategy · 2021

Read abstract

Cryptocurrencies are attracting considerable attention around the world because of the various advantages that they offer. On the other hand, they also carry some inherent risks. Although monetary authorities broadly agree that cryptocurrencies do not engender an immediate threat to national and global financial systems, the future is full of unknowns. In this regard, drawing a framework based on the current drivers of demand for cryptocurrencies would help visualize the prospects for these assets and create a roadmap to avoid or manage any disruptive risks. This discussion paper aims to contribute to the literature by examining the key factors that will determine the future performance of cryptocurrencies. The main conclusion derived from the discussion is that national regulations will potentially affect the direction of cryptocurrencies, as well as the need for any special efforts in the domain of monetary policy

DOI 10.36096/ijbes.v3i1.2422 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Boosting Resilience through Spiritual Well-being: COVID-19 Example

Elif Baykal

Bussecon Review of Social Sciences · 2020

Read abstract

Spiritual well-being is the affirmation of one’s life in a relation to external world, one’s ownself and a transcendental power like God. It reflects positive feelings, attitudes, and perceptions leading to a sense of identity, wholeness, peace, harmony, and purpose in life. In this study, it is predicted that individuals with high spiritual well-being will be more spiritually resistant during the COVID-19 pandemic, which is one of the most noteworthy periods when people need to be psychologically strong and resilient. In this study, resilience has been defined as the individual endurance against difficulties and the ability to bounce back and even get better. Hence we hypothesized that spiritual well-being of individuals will be effective on their resilience. We conducted our study in Turkey among adults older than 20 years old. We obtained 384 usable data and we analysed our date by using SPSS 20.0 program. Results confirmed the assumption of this study, regarding spiritual well-being/ resilience relationship.

DOI 10.36096/brss.v2i4.22413 Crossref citations17 OpenAlex citations
JOURNAL ARTICLE

Examining the use of artificial intelligence in recruitment processes

Ugur Karaboga · Pelin Vardarlier

Bussecon Review of Social Sciences · 2020

Read abstract

The recruitment process is more of an issue for many businesses. The process of determining the appropriate candidate to hire is often a costly, time-consuming process. Besides, due to incorrect decision-making or lack of objectivity in hiring processes, recruitment processes may not proceed effectively. Businesses are trying to use technology in their recruitment processes to avoid these problems. Currently, many businesses use internet and software technologies to receive applications and evaluate candidates. But despite these technologies, it takes time and additional personnel costs for people to coordinate all processes. Due to these and similar situations, there has been an increase in the use of artificial intelligence technologies in recruitment processes in the world recently. The use of artificial intelligence in recruitment processes has the effect of reducing costs and decision-making errors and appears to be beneficial in saving time. In this study, the use of artificial intelligence in the recruitment processes of businesses in Turkey was examined. In this context, interviews were conducted with the human resources managers of 22 businesses. According to research results, it was understood that artificial intelligence was benefited only as an auxiliary element in recruitment processes. It has been found that businesses do not rely much on artificial intelligence in their recruitment processes, so they do not use it or partially use it.

DOI 10.36096/brss.v2i4.23420 Crossref citations24 OpenAlex citations
JOURNAL ARTICLE

The role of employer brand practices in human resources management in job applications on company preference

Abdullah Turk · Pelin Vardarlier · Muhammet Ali Hazar

International Journal of Business Ecosystem & Strategy · 2020

Read abstract

Employer branding is an important issue that businesses cannot neglect, as it is the process of creating a brand for employees and potential candidates. Especially with the development of technology, it has become easier to reach many resources. However, it has always been more difficult to reach talented human resources. At this point, discovering, attracting, and working with talented employees for a long time has attributed a key role to the employer brand. In this direction, the aim of the study is to investigate the roles of employer branding practices in attracting talents to the company in job applications. Content analysis, which is a qualitative analysis method, was used in the study. Maxqda 20 software program was used to access the findings of this analysis. In the research findings, it was seen that concepts such as reputation, communication, awareness, and the concept of Employer Brand were used together intensively. As a result of the research; It has been understood that businesses that want to attract talented employees to the company use the employer brand and communicate effectively with the external environment. It has been seen that this interaction supports the corporate reputation and this has played an important role in increasing the awareness of the company and in the preference and reliability

DOI 10.36096/ijbes.v2i4.2213 Crossref citations4 OpenAlex citations

Data coverage & freshness

Source coverage refers to this result set; a publication may occur in several sources. Sync times refer to contributing journals.

Missing abstracts: 0 · Missing authors: 0 · Missing publication dates: 0 · Dates without day precision: 0

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →