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: 2 / 2 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 01:27 UTC — 22 Oct 2026 02:06 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 7 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 22 | 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 2 / 2 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): 2026-10-22T01:27:32.757295+00:00 — 2026-10-22T02:06:02.360074+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 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 0 | 2 | 2/2 |
| 2021 | All selected publications | 2 | 2 | 2/2 |
| 2022 | All selected publications | 4 | 2 | 2/2 |
| 2023 | All selected publications | 11 | 2 | 2/2 |
| 2024 | All selected publications | 3 | 2 | 2/2 |
| 2025 | All selected publications | 2 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 | 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 |
|---|---|---|---|---|---|---|---|---|
| International Journal of Research in Business and Social Science SSBFNET | 2 | 7 | 22 | 2/2 | 3.5 | 3.5 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
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.
This research aims to develop risk breakdown structure specifically for virtual learning projects in higher institution. Transition from physical face-to-face study into virtual learning practices during COVID-19 mitigation phase had been selected as main focus to construct risks identification. Opinions and experiences from 35 stakeholders in university level had been gathered and analyzed using triangulation and meta-language of risk statement methods, in order to maintain statements’ validity and quality based on project management’s standard. All registered risks were listed using universal risk breakdown structure format, which emphasized on three risk areas: internal, external, and technology, in order to categorize risk based on its sources and identify area with high exposure of risk. The result proposed 11 risk statements with highest exposure of risk on technology area. This result indicated that virtual learning organizers need to consider strategies and mitigation process in technology area, specifically on the infrastructure readiness, user capabilities, and communication gap inside the virtual environment.
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.
This research aims to develop risk breakdown structure specifically for virtual learning projects in higher institution. Transition from physical face-to-face study into virtual learning practices during COVID-19 mitigation phase had been selected as main focus to construct risks identification. Opinions and experiences from 35 stakeholders in university level had been gathered and analyzed using triangulation and meta-language of risk statement methods, in order to maintain statements’ validity and quality based on project management’s standard. All registered risks were listed using universal risk breakdown structure format, which emphasized on three risk areas: internal, external, and technology, in order to categorize risk based on its sources and identify area with high exposure of risk. The result proposed 11 risk statements with highest exposure of risk on technology area. This result indicated that virtual learning organizers need to consider strategies and mitigation process in technology area, specifically on the infrastructure readiness, user capabilities, and communication gap inside the virtual environment.
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 |