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: 3 / 3 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 02:06 UTC — 23 Oct 2026 11:29 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 15 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 27 | 3 | 3/3 | 3/3 |
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 3 / 3 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): 2026-10-22T02:06:02.360074+00:00 — 2026-10-23T11:29:02.525123+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 3 | 3 | 3/3 |
| 2023 | All selected publications | 8 | 3 | 3/3 |
| 2024 | All selected publications | 4 | 3 | 3/3 |
| 2025 | All selected publications | 6 | 3 | 3/3 |
| 2026 | All selected publications | 6 | 3 | 3/3 |
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 |
|---|---|
| 2021 | 3 |
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 Business Ecosystem & Strategy Bussecon International Academy | 1 | 9 | 10 | 1/1 | 9.0 | 9 | 100.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 2 | 6 | 17 | 2/2 | 3.0 | 3.0 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
The automotive industry is standing on the edge of the digital era. Digitization is the motivating force behind this change and is influencing every aspect of consumer behavior. Forces behind this digital transformation are the new technological possibilities which range from comprehensive connectivity, 3D printing, and the social network of virtual solutions as well. The impact of digitization can already be seen in today’s world and also in the automotive industry of India. Digitization will play an imperative role in the upcoming years such as artificial intelligence. This paper is primarily concerned with the recent trends of digitization and it also tries to measure the impact of digitization on the automobile supply chain between automobile manufacturers and suppliers. It is discussed the thrust on the potentialities of digitalization in the automobile industry of India and its impact on the overall performance of the industry. The study concluded that digitization has a significant impact on the automotive industry of India. Today, all the business practices become digitalized and foreign players use advanced technology in their products as compared to the national automotive players. The selling of automotive products is increased after the adoption of more advanced technology. It upgrades the quality of products and its service after sale which ultimately leads to the customer and brand loyalty used by the consumers.
In this paper, students, and teachers' attitudes towards shifting to an entirely online learning environment were assessed due to COVID-19. The main objective of the study was to investigate the students’ and teachers' attitudes towards Online learning during the COVID-19 situation in Bangladeshi Government Colleges. Findings revealed that cost and time-effectiveness, safety, convenience, and improved participation were the most frequently cited positive aspects of the online learning experience, while distraction and reduced focus, heavy workload, problems with technology and the internet, lack of ICT knowledge, and poor network infrastructure, limited availability of educational resources, low attendance of learners, uncooperative learners and insufficient support from instructors and colleagues were the most recurrent negative aspects. The qualitative and quantitative research method was adopted, with semi-structured interviews conducted via Zoom with 10 College teachers and Focus group discussion conducted via Zoom with 18 and survey 100 college students via Google platform from three Bangladesh renowned Government College from Hons 1st year to masters’ level located in Rajshahi divisional district town of the country. A sample of these essays was analyzed using open coding. The findings of the study help instructors and institutions understand students’ and Teachers' attitudes regarding online teaching & learning under abnormal circumstances. Several recommendations informed by the interpretation of the participants’ feedback are offered to assist instructors, administrators, and policymakers improve future online learning experiences. After conducting the whole study, it can be said that though have some problems adapting to online classes in three regarding BGCs colleges affiliated to the National University of Bangladesh, they are slowly becoming accustomed to it.
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 automotive industry is standing on the edge of the digital era. Digitization is the motivating force behind this change and is influencing every aspect of consumer behavior. Forces behind this digital transformation are the new technological possibilities which range from comprehensive connectivity, 3D printing, and the social network of virtual solutions as well. The impact of digitization can already be seen in today’s world and also in the automotive industry of India. Digitization will play an imperative role in the upcoming years such as artificial intelligence. This paper is primarily concerned with the recent trends of digitization and it also tries to measure the impact of digitization on the automobile supply chain between automobile manufacturers and suppliers. It is discussed the thrust on the potentialities of digitalization in the automobile industry of India and its impact on the overall performance of the industry. The study concluded that digitization has a significant impact on the automotive industry of India. Today, all the business practices become digitalized and foreign players use advanced technology in their products as compared to the national automotive players. The selling of automotive products is increased after the adoption of more advanced technology. It upgrades the quality of products and its service after sale which ultimately leads to the customer and brand loyalty used by the consumers.
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.
In this paper, students, and teachers' attitudes towards shifting to an entirely online learning environment were assessed due to COVID-19. The main objective of the study was to investigate the students’ and teachers' attitudes towards Online learning during the COVID-19 situation in Bangladeshi Government Colleges. Findings revealed that cost and time-effectiveness, safety, convenience, and improved participation were the most frequently cited positive aspects of the online learning experience, while distraction and reduced focus, heavy workload, problems with technology and the internet, lack of ICT knowledge, and poor network infrastructure, limited availability of educational resources, low attendance of learners, uncooperative learners and insufficient support from instructors and colleagues were the most recurrent negative aspects. The qualitative and quantitative research method was adopted, with semi-structured interviews conducted via Zoom with 10 College teachers and Focus group discussion conducted via Zoom with 18 and survey 100 college students via Google platform from three Bangladesh renowned Government College from Hons 1st year to masters’ level located in Rajshahi divisional district town of the country. A sample of these essays was analyzed using open coding. The findings of the study help instructors and institutions understand students’ and Teachers' attitudes regarding online teaching & learning under abnormal circumstances. Several recommendations informed by the interpretation of the participants’ feedback are offered to assist instructors, administrators, and policymakers improve future online learning experiences. After conducting the whole study, it can be said that though have some problems adapting to online classes in three regarding BGCs colleges affiliated to the National University of Bangladesh, they are slowly becoming accustomed to it.
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 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |