CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

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Understand the reach.

Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 4/4 recordsLast OpenAlex observation 29 Oct 2026, 04:31 UTC
PUBLICATIONS4In the selected collection
CROSSREF CITATIONS344/4 with known counts
OPENALEX CITATIONS424/4 with known counts
OPENALEX MEAN10.5Per article with a known count
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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 University44/4 records with data

Countries

Turkey44/4 records with data

Primary topics

Multi-Criteria Decision Making1Religion, Spirituality, and Psychology1Islamic Finance and Banking Studies14/4 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: 4/4 articles. Latest history observation: 2026-10-29T04:31:34.639961+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 Sciences

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
4 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS4
CROSSREF CITATIONS34
CROSSREF · CITED PUBLICATIONS75.0%
CROSSREF · MEAN CITATIONS8.5

Crossref citation coverage: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 00:01 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 CITATIONS42
DOI MATCH COVERAGE100.0%4 / 4 publications
MEAN · KNOWN COUNTS ONLY10.54 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY9.0

Observation range: 27 Oct 2026 15:03 UTC — 29 Oct 2026 04:31 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–516–20121+1Unknown0

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

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Countries

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

Primary topics

4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.

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 4 / 4 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): 2026-10-27T15:03:43.600859+00:00 — 2026-10-29T04:31:34.639961+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

147.00 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 4/42021 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 4/42022 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 4/42023 · All selected publications · OpenAlex · Citations received by year: 9 · Annual history coverage 4/42024 · All selected publications · OpenAlex · Citations received by year: 10 · Annual history coverage 4/42025 · All selected publications · OpenAlex · Citations received by year: 14 · Annual history coverage 4/42026 · All selected publications · OpenAlex · Citations received by year: 4 · Annual history coverage 4/4 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications044/4
2018All selected publications044/4
2019All selected publications044/4
2020All selected publications044/4
2021All selected publications344/4
2022All selected publications244/4
2023All selected publications944/4
2024All selected publications1044/4
2025All selected publications1444/4
2026All selected publications444/4

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.

Mean8.5
Median7.0
No citations11–516–20221+0Unknown0

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%

* Percentage among publications with a known citation count.

Explore publications

View all 4 →

Most cited · Crossref

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

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

The objectives of interest-free financing: An evaluation on the main texts

Selman Duran

Bussecon Review of Social Sciences · 2020

Read abstract

In contemporary global liberal economic systems, interest is recognized as an essential and indispensable tool. Ontologically speaking, there is no imperative to eliminate interest from within the system, although debates may arise concerning its rates. The notion that interest in history is considered a need beyond the norm is almost unheard of. Muslim societies integrated into the global economic system have adopted practices to normalize the use of interest, despite acknowledging that it conflicts with their beliefs. However, these efforts have not been successful in reducing interest rates or providing interest-free options to Islamic individuals and institutions. Although the compatibility of interest-free financial institutions and instruments developed under the liberal economic system and Islamic law requires further research, these entities are alleviating the root causes of interest rate restrictions. This study addresses the specific reasons behind the prohibition of interest and explores ways to eliminate these issues while remaining within the system. Using the document analysis method, which is commonly used in qualitative research for methodological purposes, this study will examine basic works in the field and provide evaluations.

DOI 10.36096/brss.v2i3.4470 Crossref citations0 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

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 objectives of interest-free financing: An evaluation on the main texts

Selman Duran

Bussecon Review of Social Sciences · 2020

Read abstract

In contemporary global liberal economic systems, interest is recognized as an essential and indispensable tool. Ontologically speaking, there is no imperative to eliminate interest from within the system, although debates may arise concerning its rates. The notion that interest in history is considered a need beyond the norm is almost unheard of. Muslim societies integrated into the global economic system have adopted practices to normalize the use of interest, despite acknowledging that it conflicts with their beliefs. However, these efforts have not been successful in reducing interest rates or providing interest-free options to Islamic individuals and institutions. Although the compatibility of interest-free financial institutions and instruments developed under the liberal economic system and Islamic law requires further research, these entities are alleviating the root causes of interest rate restrictions. This study addresses the specific reasons behind the prohibition of interest and explores ways to eliminate these issues while remaining within the system. Using the document analysis method, which is commonly used in qualitative research for methodological purposes, this study will examine basic works in the field and provide evaluations.

DOI 10.36096/brss.v2i3.4470 Crossref citations0 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 00:01 UTC · brsscomplete · brss · 21 Oct 2026 00:01 UTC
ojs-rest21 Oct 2026 00:01 UTC · brsscomplete · brss · 21 Oct 2026 00:00 UTC
oai-pmh20 Oct 2026 19:50 UTC · brsscomplete · brss · 20 Oct 2026 19:49 UTC
openalex-enrichment21 Oct 2026 00:02 UTC · brsscomplete · brss · 21 Oct 2026 00:01 UTC
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