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: 21 Oct 2026 00:49 UTC — 21 Oct 2026 07:22 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.
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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2020 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | 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 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): 2026-10-21T00:49:34.286240+00:00 — 2026-10-21T07:22:59.200412+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 | 1 | 3 | 3/3 |
| 2022 | All selected publications | 0 | 3 | 3/3 |
| 2023 | All selected publications | 1 | 3 | 3/3 |
| 2024 | All selected publications | 1 | 3 | 3/3 |
| 2025 | All selected publications | 1 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 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 |
|---|---|
| 2020 | 1 |
| 2022 | 1 |
| 2024 | 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 Research in Business and Social Science SSBFNET | 3 | 2 | 4 | 3/3 | 0.67 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This study was premised on the Community of Inquiry model and a qualitative method approach was used with an online individual semi-structured interview protocol as the data collection instrument to collect and analyse data gathered from the respondents’ individual interviews. A case study design was used with six participants (3 lecturers and 3 students) being sampled. The participants comprising three (3) Mathematics education lecturers, and three (3) Mathematics education students (preservice teachers) either in the first, second or third year of study in Mathematics education. Interviews were conducted online with the participants through Skype and Zoom. A thematic analysis was used to identify themes and patterns. The findings of the study revealed that the participants, understanding the use of social media, have transformed their teaching and learning in higher education institutions. Apart from making the shift from face-to-face teaching to teaching online using a technology-based independent mode to continue teaching in the Covid-era, lecturers have experienced academic well-being through a change in their pedagogy and teaching approaches as Mathematics lecturers. This change has ensured that students are exposed to a more student-centred approach through the use of social media platforms which has enhanced students’ learning of Mathematics. Recommendations are made.
This paper attempts to explore and improve the success of Facebook technology in undergraduate Sociology classes to enhance students’ engagement. Teaching Sociology in Bangladeshi colleges faces several challenges particularly in using Facebook which has been critically presented in this paper where student engagement has been defined from different aspects i.e. systematically and conceptually. It is found that Facebook is effectively used in various settings for strengthening academic achievements but is not used equally in developing countries like Bangladesh. Nevertheless, the scope of applying ICT technology like Facebook is widening as the use of devices becomes popular gradually. But for achieving the target a suitable plan and sincere efforts is essential which may ensure quality education and the output will be a valuable outcome in the ICT based globalized world
Social media platforms such as WhatsApp, Twitter, Facebook, Instagram, and YouTube continue to provide higher education lecturers with the opportunity to share personal and academic resources. They use these platforms to communicate with colleagues and students for educational purposes. This study was motivated by the fact that the COVID-19 pandemic outbreak has made online learning a priority for higher education institutions, and lecturers in South Africa have had to rethink the adoption of social media platforms as learning tools. Although social media platforms were used before the COVID-19 pandemic, on a small scale, this study investigated the readiness and challenges of lecturers in adopting social media platforms as a teaching and learning tool during the COVID-19 pandemic outbreak. This study collected qualitative data from individual lecturers using a purposeful sampling technique. The findings of the study indicate that lecturers are ready to adopt social media as a teaching and learning tool during the covid 19 pandemic. WhatsApp is the most used social media platform for teaching and learning. This study also identified some benefits and challenges in adopting social media platforms for teaching and learning in higher education institutions (HEIs), however, in practicality these challenges should be explored and addressed before rolling out social media usage in HEI’s. Based on the findings, the study provides recommendations on the use of social media platforms in teaching and learning in HEI’s during pandemics, as well as future research on social media use to assist in teaching and learning in HEI’s.
Social media platforms such as WhatsApp, Twitter, Facebook, Instagram, and YouTube continue to provide higher education lecturers with the opportunity to share personal and academic resources. They use these platforms to communicate with colleagues and students for educational purposes. This study was motivated by the fact that the COVID-19 pandemic outbreak has made online learning a priority for higher education institutions, and lecturers in South Africa have had to rethink the adoption of social media platforms as learning tools. Although social media platforms were used before the COVID-19 pandemic, on a small scale, this study investigated the readiness and challenges of lecturers in adopting social media platforms as a teaching and learning tool during the COVID-19 pandemic outbreak. This study collected qualitative data from individual lecturers using a purposeful sampling technique. The findings of the study indicate that lecturers are ready to adopt social media as a teaching and learning tool during the covid 19 pandemic. WhatsApp is the most used social media platform for teaching and learning. This study also identified some benefits and challenges in adopting social media platforms for teaching and learning in higher education institutions (HEIs), however, in practicality these challenges should be explored and addressed before rolling out social media usage in HEI’s. Based on the findings, the study provides recommendations on the use of social media platforms in teaching and learning in HEI’s during pandemics, as well as future research on social media use to assist in teaching and learning in HEI’s.
This study was premised on the Community of Inquiry model and a qualitative method approach was used with an online individual semi-structured interview protocol as the data collection instrument to collect and analyse data gathered from the respondents’ individual interviews. A case study design was used with six participants (3 lecturers and 3 students) being sampled. The participants comprising three (3) Mathematics education lecturers, and three (3) Mathematics education students (preservice teachers) either in the first, second or third year of study in Mathematics education. Interviews were conducted online with the participants through Skype and Zoom. A thematic analysis was used to identify themes and patterns. The findings of the study revealed that the participants, understanding the use of social media, have transformed their teaching and learning in higher education institutions. Apart from making the shift from face-to-face teaching to teaching online using a technology-based independent mode to continue teaching in the Covid-era, lecturers have experienced academic well-being through a change in their pedagogy and teaching approaches as Mathematics lecturers. This change has ensured that students are exposed to a more student-centred approach through the use of social media platforms which has enhanced students’ learning of Mathematics. Recommendations are made.
This paper attempts to explore and improve the success of Facebook technology in undergraduate Sociology classes to enhance students’ engagement. Teaching Sociology in Bangladeshi colleges faces several challenges particularly in using Facebook which has been critically presented in this paper where student engagement has been defined from different aspects i.e. systematically and conceptually. It is found that Facebook is effectively used in various settings for strengthening academic achievements but is not used equally in developing countries like Bangladesh. Nevertheless, the scope of applying ICT technology like Facebook is widening as the use of devices becomes popular gradually. But for achieving the target a suitable plan and sincere efforts is essential which may ensure quality education and the output will be a valuable outcome in the ICT based globalized world
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 |