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: 21 Oct 2026 07:22 UTC — 22 Oct 2026 05:04 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 3 | 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): 2026-10-21T07:22:44.490451+00:00 — 2026-10-22T05:04:25.009212+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 | 0 | 2 | 2/2 |
| 2022 | All selected publications | 0 | 2 | 2/2 |
| 2023 | All selected publications | 2 | 2 | 2/2 |
| 2024 | All selected publications | 1 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 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 |
|---|---|
| 2022 | 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 | 2 | 3 | 2/2 | 1.0 | 1.0 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This paper aims to investigate whether e-learning has any significant influence on academic attainment. From this time, little is noted by literature about training teachers towards attaining the necessary skills needed for digital e-learning applications. Investigation for this paper was conducted through a qualitative research methodology. Authors decided to use this method with a concern of understanding the behaviour of humans as per teacher perspectives, leading to obtaining better understanding of underlying motives. For this qualitative investigation, three conveniently selected secondary school teachers from a rural school in the Eastern Cape Province of South Africa were interviewed. Engaging with the participants through administration of the interview schedule assisted authors in obtaining reach data due to contained questions that had a specific element of being open-ended. A fundamental finding revealed that teachers across all subjects have since embarked at focusing on (i) learner-centered practical approaches to allow determined e-learning engagements, thus having an impact on (ii) learner turnout. On noting this perspective from the teacher participants, it is recommended that as citizens held up in the technological revolution, there seems to be a need for teaching-learning approaches to be altered. This study, therefore, concludes that as a means to enable enhanced learner attainment, rural versus urban digital variations be addressed
Eruption of the COVID 19 pandemic era in the preceding years has resulted at learning being infused with technology, hence the emergent of new terminologies or prefixes like ‘e’. For the purposes of this paper, eLearning has since been regarded as an essential aspect targeted towards effective schooling. Teaching-learning approaches had to be re-looked at as universities were held in predicaments to engage on online contact sessions through blackboard as a Learning Management System (LMS). This is a software application that necessitates diverse areas, but not limited to, administration, documentation, automation, delivery of educational courses and training programs. It is for this reason that this paper aims to examine whether Blackboard learning has any substantial influence in relation to learner academic attainment. Little is noted by literature on predicaments entangling rural schooling environments for implementation of eLearning. Examination was administered through a qualitative research approach, embedded in a case study design. Three purposefully nominated teachers from a university located in a rural Eastern Cape Province setting were interviewed as participants. It was divulged by the findings that (i) connectivity glitches, thus having an impact on (ii) contact session attendance, as well as (iii) limitation of eLearning related soft skills, were the major hiccups to this emergent learning platform. As authors we therefore conclude that both teachers and learners are held liable to fully acquaint themselves on eLearning, hence the digital world. This paper recommends for alterations and re-inventing of teaching-learning approaches, thereby curbing situations of rural-urban digital variations.
Eruption of the COVID 19 pandemic era in the preceding years has resulted at learning being infused with technology, hence the emergent of new terminologies or prefixes like ‘e’. For the purposes of this paper, eLearning has since been regarded as an essential aspect targeted towards effective schooling. Teaching-learning approaches had to be re-looked at as universities were held in predicaments to engage on online contact sessions through blackboard as a Learning Management System (LMS). This is a software application that necessitates diverse areas, but not limited to, administration, documentation, automation, delivery of educational courses and training programs. It is for this reason that this paper aims to examine whether Blackboard learning has any substantial influence in relation to learner academic attainment. Little is noted by literature on predicaments entangling rural schooling environments for implementation of eLearning. Examination was administered through a qualitative research approach, embedded in a case study design. Three purposefully nominated teachers from a university located in a rural Eastern Cape Province setting were interviewed as participants. It was divulged by the findings that (i) connectivity glitches, thus having an impact on (ii) contact session attendance, as well as (iii) limitation of eLearning related soft skills, were the major hiccups to this emergent learning platform. As authors we therefore conclude that both teachers and learners are held liable to fully acquaint themselves on eLearning, hence the digital world. This paper recommends for alterations and re-inventing of teaching-learning approaches, thereby curbing situations of rural-urban digital variations.
This paper aims to investigate whether e-learning has any significant influence on academic attainment. From this time, little is noted by literature about training teachers towards attaining the necessary skills needed for digital e-learning applications. Investigation for this paper was conducted through a qualitative research methodology. Authors decided to use this method with a concern of understanding the behaviour of humans as per teacher perspectives, leading to obtaining better understanding of underlying motives. For this qualitative investigation, three conveniently selected secondary school teachers from a rural school in the Eastern Cape Province of South Africa were interviewed. Engaging with the participants through administration of the interview schedule assisted authors in obtaining reach data due to contained questions that had a specific element of being open-ended. A fundamental finding revealed that teachers across all subjects have since embarked at focusing on (i) learner-centered practical approaches to allow determined e-learning engagements, thus having an impact on (ii) learner turnout. On noting this perspective from the teacher participants, it is recommended that as citizens held up in the technological revolution, there seems to be a need for teaching-learning approaches to be altered. This study, therefore, concludes that as a means to enable enhanced learner attainment, rural versus urban digital variations be addressed
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 |