Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
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.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
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.
OpenAlex · incoming citation links grouped by citing-work year
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.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
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.
Crossref citation coverage: 27 / 27 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
Observation range: 22 Oct 2026 01:04 UTC — 29 Oct 2026 19:39 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.
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.
27 / 27 with data · 0 missing or unmatched. Percentages use all 27 selected publications.
27 / 27 with data · 0 missing or unmatched. Percentages use all 27 selected publications.
27 / 27 with data · 0 missing or unmatched. Percentages use all 27 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2015 | All selected publications | 5 | 5 | 5/5 | 5/5 |
| 2016 | All selected publications | 12 | 12 | 12/12 | 12/12 |
| 2017 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2018 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2015 | All selected publications | 44 | 5 | 5/5 | 5/5 |
| 2016 | All selected publications | 16 | 12 | 12/12 | 12/12 |
| 2017 | All selected publications | 4 | 4 | 4/4 | 4/4 |
| 2018 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2019 | All selected publications | 13 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2015 | All selected publications | 95 | 5 | 5/5 | 5/5 |
| 2016 | All selected publications | 33 | 12 | 12/12 | 12/12 |
| 2017 | All selected publications | 18 | 4 | 4/4 | 4/4 |
| 2018 | All selected publications | 17 | 2 | 2/2 | 2/2 |
| 2019 | All selected publications | 15 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 0 | 1 | 1/1 | 1/1 |
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 27 / 27 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 — 2026-10-29T19:39:30.467301+00:00. Older observations may be retained after failed or incomplete refreshes.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 12 | 27 | 27/27 |
| 2018 | All selected publications | 14 | 27 | 27/27 |
| 2019 | All selected publications | 36 | 27 | 27/27 |
| 2020 | All selected publications | 21 | 27 | 27/27 |
| 2021 | All selected publications | 25 | 27 | 27/27 |
| 2022 | All selected publications | 21 | 27 | 27/27 |
| 2023 | All selected publications | 14 | 27 | 27/27 |
| 2024 | All selected publications | 10 | 27 | 27/27 |
| 2025 | All selected publications | 10 | 27 | 27/27 |
| 2026 | All selected publications | 7 | 27 | 27/27 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2015 | 5 |
| 2016 | 12 |
| 2017 | 4 |
| 2018 | 2 |
| 2019 | 3 |
| 2020 | 1 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Finance & Banking Studies SSBFNET | 7 | 38 | 94 | 7/7 | 5.43 | 2 | 57.1 | 7/7 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 20 | 44 | 84 | 20/20 | 2.2 | 2.0 | 70.0 | 20/20 · 100.0% |
* Percentage among publications with a known citation count.
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.
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.
Both in Turkey and in the world in 1980 was a year of major structural transformations. Globalization has been accelerated in this time and countries have implemented some liberal policies for opening borders to foreign capital. Economies began to be led by export-oriented industrialization and liberalization policies after 1980 and these policies continue since then. Turkey is one of these countries that began liberalization after 1980. While decreasing trade barriers exerts a downward pressure on prices trade liberalization represents a structural break. This study aims to examine the relationship between trade openness and inflation over the period 1980-2011 for Turkey by using OLS method. The proportion of foreign trade volume (exports plus imports) to GDP and real exchange rates are used as measures of trade openness besides inflation rate. As a result of the study, it has been determined that there was a negative correlation between trade openness and inflation rate for the dedicated years in Turkey. The effects of crisis and election years in Turkey have been also tested and found statistically insignificant.
The purpose of this study is to determine major indicators of the Greek crisis that started in 2009 and the effects of which can still be observed. In this regard, 8 independent variables were applied so as to fulfill the objective. Besides, the annual data between the years 1984 and 2016 was analyzed with Probit model. As a consequence of this study, it was concluded that inflation and gross savings are the leading meters of Greek crisis based on probit method. On the other hand, according to the MARS results, 3 different variables are identified as the indicators of the debt crisis in Greece. It is concluded that there is a negative relation between financial crisis with saving ratio and current account balance. Additionally, it is also identified that high unemployment ratio leads to financial crisis. While comparisng the results of these two approaches, it is concluded that MARS is much more successful than the probit method to predict the debt crisis in Greece. It is strongly recommended that saving ratio should be increased in Greece. For this purpose, governments should take some actions in order to increase this ratio more than 15.5%. Within this framework, media channels can be used by the government to tell the people about the importance of the savings to have sustainable economic development.
We measure the level of financial literacy in Turkey using the OECD/International Network on Financial Education (INFE) methodology and compare our results with the ones obtained in 14 other countries that has used the same methodology. In our sample, financial knowledge and financial behavior levels are lower than the average of the 14 countries, whereas financial attitude level is around the average. The overall financial literacy score, which is a combination of the three aforementioned aspects, is also lower than the average of the 14 countries. We find that financial behavior is positively related with financial knowledge, female respondents are lagging behind the male respondents in financial literacy, and this lag is bigger than those in the 14 countries. Very young respondents and old respondents are less financially literate, financial literacy score is positively related with income, education, and income stability.
This study reviews the management of the in-service training that could contribute to the professional and personal development of the physicians providing primary health care during their post-graduate period. The field study aims to detect the importance and necessity of the in-service training, which is known to provide professional and personal development after graduation in every field of profession, in the health sector, and the approaches of the physicians who provide primary health care on the issue. During the application process, a field study was conducted through an online survey with the participation of 4,034 primary care physicians working in Istanbul. 610 people participated in validly in the study. The opinions, evaluations, and expectations of the physicians about in-service training were measured. In addition, it was tried to determine the knowledge and skill levels of the physicians on these issues by determining the in-service training subjects that physicians deemed necessary for their professional and personal development. The study has three remarkable results. The first result is that physicians care about the in-service training be given in 1-2 hours courses, at least once a month, in a comfortable place such as a hotel and especially with practical methods. The second important result is that the number of physicians who believe that the training should be given by universities and that the training this way will contribute to professional and personal development that constitute the majority. The third result emphasizes that even if the physicians participating in the study find their knowledge and skill levels about preventive healthcare and chronic diseases sufficient, they want to receive more education in this field
A strong supply chain management in healthcare institutions improves the healthcare service quality at the micro level and contributes to the national economy at the macro level. The healthcare service includes various producers, suppliers and their activities within the supply chain. Thereby, the performance of these organizations as well as their intra-chain activities affects the healthcare service. On the other hand, to provide a qualified and efficient healthcare service, it is necessary but difficult to manage this versatile chain effectively. The current study aims to provide an overview of supply chain management of Turkish health sector in terms of theoretical and practical aspects. Firstly, the study examines healthcare supply chain management and its components. The following sections discuss drug and medical device manufacturers, wholesale distributors and retailers in the Turkish health sector supply chain. Finally, the problems encountered in the health sector supply chain applications and their possible solutions are discussed. Therefore by providing a better understanding of the supply chain management applications in the healthcare sector, it is intended to provide guidance to both managers and researchers for their future work.
The purpose of this study is to determine major indicators of the Greek crisis that started in 2009 and the effects of which can still be observed. In this regard, 8 independent variables were applied so as to fulfill the objective. Besides, the annual data between the years 1984 and 2016 was analyzed with Probit model. As a consequence of this study, it was concluded that inflation and gross savings are the leading meters of Greek crisis based on probit method. On the other hand, according to the MARS results, 3 different variables are identified as the indicators of the debt crisis in Greece. It is concluded that there is a negative relation between financial crisis with saving ratio and current account balance. Additionally, it is also identified that high unemployment ratio leads to financial crisis. While comparisng the results of these two approaches, it is concluded that MARS is much more successful than the probit method to predict the debt crisis in Greece. It is strongly recommended that saving ratio should be increased in Greece. For this purpose, governments should take some actions in order to increase this ratio more than 15.5%. Within this framework, media channels can be used by the government to tell the people about the importance of the savings to have sustainable economic development.
We measure the level of financial literacy in Turkey using the OECD/International Network on Financial Education (INFE) methodology and compare our results with the ones obtained in 14 other countries that has used the same methodology. In our sample, financial knowledge and financial behavior levels are lower than the average of the 14 countries, whereas financial attitude level is around the average. The overall financial literacy score, which is a combination of the three aforementioned aspects, is also lower than the average of the 14 countries. We find that financial behavior is positively related with financial knowledge, female respondents are lagging behind the male respondents in financial literacy, and this lag is bigger than those in the 14 countries. Very young respondents and old respondents are less financially literate, financial literacy score is positively related with income, education, and income stability.
Increasing globalization of the healthcare sector indicates that there are new opportunities for emerging markets to take a bigger share from the whole healthcare industry. This is realized in the form of medical tourism where people prefer to travel to different destinations to receive medical treatments and services. Medical tourists prefer to travel for several reasons like low cost, high quality care or shorter waiting periods. The industry is growing rapidly and the annual expenditure is estimated to be around US$ 30 billion at the end of 2019. The challenging amount of expenditure whets the appetite of the countries and competitiveness becomes crucial to take more market share in this respect. Therefore the factors that build up competitiveness is identified and assessed thoroughly. This paper makes a literature review on the subject and recommends a New research opportunity for Turkey in this field.
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
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |