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: 6 / 6 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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: 21 Oct 2026 00:21 UTC — 21 Oct 2026 00:22 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.
5 / 6 with data · 1 missing or unmatched. Percentages use all 6 selected publications.
5 / 6 with data · 1 missing or unmatched. Percentages use all 6 selected publications.
6 / 6 with data · 0 missing or unmatched. Percentages use all 6 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 |
|---|---|---|---|---|---|
| 2012 | All selected publications | 6 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2012 | All selected publications | 25 | 6 | 6/6 | 6/6 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2012 | All selected publications | 62 | 6 | 6/6 | 6/6 |
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 6 / 6 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): 2026-10-21T00:21:59.438718+00:00 — 2026-10-21T00:22:01.681561+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 | 3 | 6 | 6/6 |
| 2018 | All selected publications | 3 | 6 | 6/6 |
| 2019 | All selected publications | 9 | 6 | 6/6 |
| 2020 | All selected publications | 3 | 6 | 6/6 |
| 2021 | All selected publications | 7 | 6 | 6/6 |
| 2022 | All selected publications | 5 | 6 | 6/6 |
| 2023 | All selected publications | 3 | 6 | 6/6 |
| 2024 | All selected publications | 8 | 6 | 6/6 |
| 2025 | All selected publications | 5 | 6 | 6/6 |
| 2026 | All selected publications | 0 | 6 | 6/6 |
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 |
|---|---|
| 2012 | 6 |
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 | 6 | 25 | 62 | 6/6 | 4.17 | 2.0 | 83.3 | 6/6 · 100.0% |
* Percentage among publications with a known citation count.
Less attention has been given to well-being and other household characteristics that influence clients’ access to micro-credit among women households especially. The paper investigates the determinants of access to credit by 320 women entrepreneurs in the Mfantsiman Municipality in the Central Region of Ghana. Data for the study was collected in June-July 2010 from six communities including Mankessim, Saltpond, Anomabu, Biriwa and Yamoransa. Sturctured questionnaires were used to collect the data from women entrepreneurs. The results of the study indicate that clients’ well-being influences access to credit amount. Clients who have been in business for long time are likely to access larger loan amounts. Marital status and education do not influence access to credit. Among the recommendations are that microfinance should not only target clients with high well-being scores but those with low well-being scores since the original aim of microfinance is to lift the poor out of poverty. It is important to give credit to aged business owners instead of young ones. Giving credit to married women because their husbands could serve as guarantors does not matter much but rather women who do not have husbands also need to benefit from micro-credit.
Nowadays, almost all sectors especially service ones are aware of the fact that the presence of employees who have high level of emotional intelligence and innovative work behaviors is crucial so as to perform efficiently and productively. Since customer satisfaction and customer loyalty are the main primacy for the banking sector, they need to keep up with all kinds of changes and developments to resist and gain advantages over their competitors subject to the highly increase of competition worldwide. The main reason of applying this study on the banking sector is its dynamic structure that has been changed both positively and negatively owing to the economic crisis. In connection with this, it is aimed to present the importance of emotional intelligence and innovative work behaviors on the success of banking sector through the analysis of two variables in terms of their relationship between each other. Additionally, it is intended for setting forth the differences of state-owned and private banks in terms of the level of emotional intelligence and innovative work behaviors. As a data collection tool, questionnaire technique has been used. It has been benefited from the emotional intelligence scale developed by Wong and Law to obtain the data related to emotional intelligence level; and the innovative work behaviors scale developed by Janssen to obtain the data related to innovative work behaviors. The findings obtained from the questionnaire were applied to 332 employees in Turkish banking sector.
Theories associated with job satisfaction are based on the principle that all environmental elements could shape entire career satisfaction. In literature, major studies illustrate that positive and negative emotions are largely associated with job satisfaction. Job satisfaction source is not only job position but also other factors such as the physical and social work environment, relationships with supervisors and colleagues, group culture and management style of the managers. In this study, it is aimed to evaluate and prioritize the five dimensions of job satisfaction in Zanjan Refah Bank employees: (i) the nature of the job (ii) supervisor, (iii) peer, (iv) promotion and (v) payment. In this study a field research was applied with a survey study. To testify the hypothesis, the Pearson parametric and Friedman test was conducted. The major findings of this study are (i) there is a negative correlation exists between level of education and nature of the job (ii) job promotion and payment, (iii) there is not any significant differences in job satisfaction between men and women.
This study is a discussion on the ‘Non-Governmental Organization-Microfinance Institution Partnership Model’ and ‘Securitization Model’ used by Indian microfinance institutions to achieve cost efficiency. These two models are effective strategies devised and used by efficient and sustainable Indian MFIs to reduce their operating cost and financing cost. Achieving such cost efficiency is crucial for microfinance institutions to attain operational self-sustainability without levying high interest rates. Using interview method the study elicits information on these innovative strategies and recommends them to be worthy of emulation for other microfinance institutions operating in the Indian microfinance industry.
This paper considers the problem of finding the shortest path in a static network, where the costs are constant. The CE Algorithm based strategy that is presented by Rubinstein to solving rare event and combinatorial optimization problem is modified to finding shortest path in this research. To analyze the efficiency of the used algorithm three sets of small, medium and large sized problems that generated randomly are solved. The results on the set of problems show that the modified algorithm produces good solutions and time saving in computation of large-scale network.
Nowadays, almost all sectors especially service ones are aware of the fact that the presence of employees who have high level of emotional intelligence and innovative work behaviors is crucial so as to perform efficiently and productively. Since customer satisfaction and customer loyalty are the main primacy for the banking sector, they need to keep up with all kinds of changes and developments to resist and gain advantages over their competitors subject to the highly increase of competition worldwide. The main reason of applying this study on the banking sector is its dynamic structure that has been changed both positively and negatively owing to the economic crisis. In connection with this, it is aimed to present the importance of emotional intelligence and innovative work behaviors on the success of banking sector through the analysis of two variables in terms of their relationship between each other. Additionally, it is intended for setting forth the differences of state-owned and private banks in terms of the level of emotional intelligence and innovative work behaviors. As a data collection tool, questionnaire technique has been used. It has been benefited from the emotional intelligence scale developed by Wong and Law to obtain the data related to emotional intelligence level; and the innovative work behaviors scale developed by Janssen to obtain the data related to innovative work behaviors. The findings obtained from the questionnaire were applied to 332 employees in Turkish banking sector.
Theories associated with job satisfaction are based on the principle that all environmental elements could shape entire career satisfaction. In literature, major studies illustrate that positive and negative emotions are largely associated with job satisfaction. Job satisfaction source is not only job position but also other factors such as the physical and social work environment, relationships with supervisors and colleagues, group culture and management style of the managers. In this study, it is aimed to evaluate and prioritize the five dimensions of job satisfaction in Zanjan Refah Bank employees: (i) the nature of the job (ii) supervisor, (iii) peer, (iv) promotion and (v) payment. In this study a field research was applied with a survey study. To testify the hypothesis, the Pearson parametric and Friedman test was conducted. The major findings of this study are (i) there is a negative correlation exists between level of education and nature of the job (ii) job promotion and payment, (iii) there is not any significant differences in job satisfaction between men and women.
This paper considers the problem of finding the shortest path in a static network, where the costs are constant. The CE Algorithm based strategy that is presented by Rubinstein to solving rare event and combinatorial optimization problem is modified to finding shortest path in this research. To analyze the efficiency of the used algorithm three sets of small, medium and large sized problems that generated randomly are solved. The results on the set of problems show that the modified algorithm produces good solutions and time saving in computation of large-scale network.
This study is a discussion on the ‘Non-Governmental Organization-Microfinance Institution Partnership Model’ and ‘Securitization Model’ used by Indian microfinance institutions to achieve cost efficiency. These two models are effective strategies devised and used by efficient and sustainable Indian MFIs to reduce their operating cost and financing cost. Achieving such cost efficiency is crucial for microfinance institutions to attain operational self-sustainability without levying high interest rates. Using interview method the study elicits information on these innovative strategies and recommends them to be worthy of emulation for other microfinance institutions operating in the Indian microfinance industry.
Less attention has been given to well-being and other household characteristics that influence clients’ access to micro-credit among women households especially. The paper investigates the determinants of access to credit by 320 women entrepreneurs in the Mfantsiman Municipality in the Central Region of Ghana. Data for the study was collected in June-July 2010 from six communities including Mankessim, Saltpond, Anomabu, Biriwa and Yamoransa. Sturctured questionnaires were used to collect the data from women entrepreneurs. The results of the study indicate that clients’ well-being influences access to credit amount. Clients who have been in business for long time are likely to access larger loan amounts. Marital status and education do not influence access to credit. Among the recommendations are that microfinance should not only target clients with high well-being scores but those with low well-being scores since the original aim of microfinance is to lift the poor out of poverty. It is important to give credit to aged business owners instead of young ones. Giving credit to married women because their husbands could serve as guarantors does not matter much but rather women who do not have husbands also need to benefit from micro-credit.
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 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |