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: 11 / 11 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 00:52 UTC — 23 Oct 2026 06:57 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.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 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 | 1 | 1 | 1/1 | 1/1 |
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2012 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 1 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 7 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2012 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2013 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2014 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2015 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2016 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2017 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 9 | 2 | 2/2 | 2/2 |
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 11 / 11 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): 2026-10-22T00:52:11.108162+00:00 — 2026-10-23T06:57:21.958268+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 | 0 | 11 | 11/11 |
| 2018 | All selected publications | 1 | 11 | 11/11 |
| 2019 | All selected publications | 2 | 11 | 11/11 |
| 2020 | All selected publications | 2 | 11 | 11/11 |
| 2021 | All selected publications | 0 | 11 | 11/11 |
| 2022 | All selected publications | 0 | 11 | 11/11 |
| 2023 | All selected publications | 1 | 11 | 11/11 |
| 2024 | All selected publications | 5 | 11 | 11/11 |
| 2025 | All selected publications | 5 | 11 | 11/11 |
| 2026 | All selected publications | 3 | 11 | 11/11 |
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 | 1 |
| 2013 | 1 |
| 2014 | 1 |
| 2015 | 1 |
| 2016 | 1 |
| 2019 | 3 |
| 2021 | 1 |
| 2024 | 2 |
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 |
|---|---|---|---|---|---|---|---|---|
| Bussecon Review of Social Sciences Bussecon International Academy | 1 | 0 | 1 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 1 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Finance & Banking Studies SSBFNET | 4 | 3 | 5 | 4/4 | 0.75 | 0.5 | 50.0 | 4/4 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 5 | 10 | 13 | 5/5 | 2.0 | 1 | 100.0 | 5/5 · 100.0% |
* Percentage among publications with a known citation count.
The novelty and advancement of technology have explored new avenues in the education sectors. Now e-learning has blended with face-to-face learning to increase its effectiveness. An integrated model is being proposed in this study to measure the continuance usage intention of students adopting e-learning services. With the constructs of ECM (confirmation, perceived usefulness), perceived ease of use and perceived self-efficacy proposed to measure their effect on satisfaction. Besides, to explore the impact of quality features on satisfaction and continuance intention, three major determinants of D&M’s ISS model such as system quality, service quality and information quality included in this study. 410 responses collected to do quantitative analysis. The PLS-SEM analysis showed that perceived ease of use has the strongest effect on perceived usefulness, followed by perceived self-efficacy on perceived ease of use and satisfaction with continuance intention.The study reveals that challenges in developing countries are unique and drives the learners differently than developed countries. The growing e-learning industry requires widespread research from national and institutional perspectives for holistic development in the Bangladesh education market.
This paper examines the consequences of banks’ performance on bank risk. The paper forms a theoretical model and delivers empirical evidence to identify that banks suffer in performance as the loans become bad. Using panel data from a sample of five (05) South-Asian emerging economies from 2011 to 2019, we have found that the banks are highly influenced by the development of non-performing loans (NPLs). We have primarily used Return on Asset (ROA) followed by Return on Equity (ROE) as a substitution to the performance of the banks and NPL as the proxy of bank risk. Simultaneous regression applying 3sls finds that Non-Performing Loan (NPL) hinders banks' growth, negatively affecting their profitability.
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 study examines bank competition in the loan markets in India using a new competitiveness index, the Augmented Relative Profit Difference (ARPD). The ARPD quantifies the impact of marginal costs on performance, measured in terms of market shares. The theoretical foundation of the ARPD is robust when compared to other conventional measures. Applying this unbiased competition indicator to loan markets shows that financial reform has contributed to significant improvements in competition. Public sector banks and private sector banks are more competitive than foreign banks too. In addition, we find that the Indian loanmarkets are monopolistic in nature.
High-value denomination currency was scrapped off from the Indian economy on 8th November 2016, Rs. 500 and Rs. 1,000 currency notes were declared invalid at midnight hour. Taking such a bold step by Hon. Prime Minister of India Mr. Narendra Modi, means declaring 86% of cash in circulation an illegal tender overnight. This study is conducted on the immediate effect of demonetization on the microfinance industry in India and its after-effects in the later years. We have analyzed the data collected from the rural sector, on the collections and lending, impact on the farmers, how it has affected the small microfinance companies. We have also analyzed RBI’s initiative towards financial inclusion, Pradhan Mantri Jan Dhan Yojana (PMJDY), the emergence of new Small Finance Banks, Digital Banks, Payment banks, etc. We have critically analyzed the impact of cost versus the benefit from the demonetization exercise for the rural and microfinance industry. The aim of this study is to analyze the overall financial inclusion of the rural and small sectors towards the dream of a Cashless Economy.
The novelty and advancement of technology have explored new avenues in the education sectors. Now e-learning has blended with face-to-face learning to increase its effectiveness. An integrated model is being proposed in this study to measure the continuance usage intention of students adopting e-learning services. With the constructs of ECM (confirmation, perceived usefulness), perceived ease of use and perceived self-efficacy proposed to measure their effect on satisfaction. Besides, to explore the impact of quality features on satisfaction and continuance intention, three major determinants of D&M’s ISS model such as system quality, service quality and information quality included in this study. 410 responses collected to do quantitative analysis. The PLS-SEM analysis showed that perceived ease of use has the strongest effect on perceived usefulness, followed by perceived self-efficacy on perceived ease of use and satisfaction with continuance intention.The study reveals that challenges in developing countries are unique and drives the learners differently than developed countries. The growing e-learning industry requires widespread research from national and institutional perspectives for holistic development in the Bangladesh education market.
This paper examines the consequences of banks’ performance on bank risk. The paper forms a theoretical model and delivers empirical evidence to identify that banks suffer in performance as the loans become bad. Using panel data from a sample of five (05) South-Asian emerging economies from 2011 to 2019, we have found that the banks are highly influenced by the development of non-performing loans (NPLs). We have primarily used Return on Asset (ROA) followed by Return on Equity (ROE) as a substitution to the performance of the banks and NPL as the proxy of bank risk. Simultaneous regression applying 3sls finds that Non-Performing Loan (NPL) hinders banks' growth, negatively affecting their profitability.
High-value denomination currency was scrapped off from the Indian economy on 8th November 2016, Rs. 500 and Rs. 1,000 currency notes were declared invalid at midnight hour. Taking such a bold step by Hon. Prime Minister of India Mr. Narendra Modi, means declaring 86% of cash in circulation an illegal tender overnight. This study is conducted on the immediate effect of demonetization on the microfinance industry in India and its after-effects in the later years. We have analyzed the data collected from the rural sector, on the collections and lending, impact on the farmers, how it has affected the small microfinance companies. We have also analyzed RBI’s initiative towards financial inclusion, Pradhan Mantri Jan Dhan Yojana (PMJDY), the emergence of new Small Finance Banks, Digital Banks, Payment banks, etc. We have critically analyzed the impact of cost versus the benefit from the demonetization exercise for the rural and microfinance industry. The aim of this study is to analyze the overall financial inclusion of the rural and small sectors towards the dream of a Cashless Economy.
There have been significant changes in the GATT / WTO system, one of them is its expansion in membership. The regime has up grown from its original 22 founding members to over 140 at the turn of the 20th century. The enlargement has led to the fundamental change in the character of the regime. In the early years the GATT / WTO was perceived of by China as a “Rich Nations’ Club” or “the Club of the Rich,” in which wealthy countries imposed rules on poor and weak developing countries. By the year 2000, the WTO included a majority of developing countries, many of which are among the poorest countries of the world. Furthermore, with the inclusion of China and Russia, the WTO community included all the major nations of the world, even those that were previously uninterested in open trade and thus stayed outside the trade regime. The paper in the above context begins with a brief history of China’s accession to the WTO, including a review of China’s objectives and motivations in joining. It reviews how its entry has supported its substantial growth and further integration into the global economy in terms of trade patterns and other economic indicators such as FDI along with regulations governing IPRs in tune with the WTO obligations. A brief portrait of comparison of Chinese economy with Indian economy is also laid down because both are leading emerging market developing economies — one is the Dragon and the other the Elephant.
The introduction of the New Economic Policy (NEP) in 1991 by the Government of India (GoI) made it very clear that the viability of commercial banks is conditioned on their ability to make profits. In a globalized world, the whims and fancies of business cycles govern the fate of banks and a recessionary phase hampers the bank’s ability to pile on the profits thereby increasing their stock of non-performing assets. India, recently, is placed in a very bizarre situation, — some of the renowned banks are reporting huge losses but there is a very limited impact on stock markets. Strategically, the government, however, has taken corrective measures to arrest the growth of non-performing assets (NPAs) of banks. This paper builds upon a time series model capturing the position of NPAs of banks in India (excluding foreign banks operating in India). Empirically, there is a uni-directional causal relationship running from NPAs of banks to growth. Theoretically, what we can conclude is that imposing strict lending norms on banks actually manifests itself into a deeper recession, lowers growth and in turn aggravates the NPA problem further.
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 |