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 07:23 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 | 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 | 1 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 94 | 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 | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 134 | 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 | 0 | 1 | 1/1 | 1/1 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | 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): 2026-10-21T00:49:36.971452+00:00 — 2026-10-21T07:23:08.234365+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 | 8 | 3 | 3/3 |
| 2023 | All selected publications | 13 | 3 | 3/3 |
| 2024 | All selected publications | 33 | 3 | 3/3 |
| 2025 | All selected publications | 36 | 3 | 3/3 |
| 2026 | All selected publications | 44 | 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 | 1 |
| 2024 | 1 |
| 2026 | 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 | 94 | 134 | 3/3 | 31.33 | 0 | 33.3 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The purpose of this essay is to discuss the phases and challenges of the explanatory sequential design (ESD hereinafter) of mixed methods research (MMR hereinafter) by reviewing relevant literature. The literature was explored during the design stage of a Ph.D. project that sought to examine the relationship among social capital, education, and employment for foreign students graduating from several Estonian universities. The review finds that the explanatory sequential design of MMR is much more complex than just sequencing how and what kind of data to collect; it also entails selecting how data will be processed and presented using a range of techniques that are often riddled with difficulties. By addressing these ideas, this paper will aid those interested in comprehending the summary of the explanatory sequential design of MMR.
Many Bachelor of Education (BEd) students encounter difficulties in understanding research concepts, particularly in formulating problem statements which hampers their ability to articulate and develop their research effectively. This paper aims to propose strategies to enhance research skills among the BEd students at a University of Technology, focusing on research skill development and exploring the effectiveness of integrating practical research skills through face-to-face interaction. The paper is rooted in connectivism, which argues for the use of technology and life-long learning to enhance research skills. The research study was qualitative involved 30 participants. A discussion group was established on WhatsApp in order to gather qualitative data. WhatsApp is commended for being quick and easy to use, enabling participants to interact from the comfort of their own spaces. Purposive sampling was employed in this paper with 30 final year students from different specialisations. The data was analysed using themes and sub-themes. The findings indicates that many students struggle with formulating the problem statement, establishing the background of the study, and providing a rationale for their research, which negatively impacts their research development. The study proposes targeted interventions such as structured research mentorship programs, integration of research workshops into the curriculum and the use of technology-enhanced learning tools to scaffold research learning. Further propose a strategy to bridge the gap between theoretical knowledge and practical research application, ultimately fostering a culture of inquiry and academic rigor among future teachers. Based on these findings, restructuring the research component within the B Ed program is essential. This includes integrating research components in Teaching Practice training to promote reflective practice and facilitate research skill development among BEd students.
This study reflects on the researchers’ experiences who conducted research in an open distance and eLearning (ODeL) institution with external supervisors of mathematics education pre-service teachers teaching practice. Despite the value placed on research in an open distance and eLearning environment, some researchers still have trouble accessing data when using the online web-based survey approach to conduct research, especially among supervisors of Mathematics education pre-service teachers' teaching practice (TP) exercise at a typical ODeL institution in South Africa. This insider research is born out of the fact that there is less research conducted in South Africa, that ascertains the experiences of researchers themselves on a project. In light of the foregoing, this study attempts to reflect on the experiences and challenges faced by researchers at the University of South Africa while working on a project that was centered on the supervision of pre-service teachers' teaching practice in a mathematics classroom context titled ODL-RSP Project. The study used a reflective method involving the observations and experiences kept by researchers to record detailed notes during initiation, data collection (interview process) and workshop attendance by the researchers. The reflection involved research team members focusing on the Quality of Mathematics Teaching Practice Supervision in the ODeL Environment. The analysis of the data was derived from the reflections. The study used a reflective method involving the observations and experiences kept by researchers to record detailed notes during initiation, data collection (interview process) and workshop attendance by the researchers. The reflection involved research team members focusing on the Quality of Mathematics Teaching Practice Supervision in the ODeL Environment. The analysis of the data was derived from the reflections.
Many Bachelor of Education (BEd) students encounter difficulties in understanding research concepts, particularly in formulating problem statements which hampers their ability to articulate and develop their research effectively. This paper aims to propose strategies to enhance research skills among the BEd students at a University of Technology, focusing on research skill development and exploring the effectiveness of integrating practical research skills through face-to-face interaction. The paper is rooted in connectivism, which argues for the use of technology and life-long learning to enhance research skills. The research study was qualitative involved 30 participants. A discussion group was established on WhatsApp in order to gather qualitative data. WhatsApp is commended for being quick and easy to use, enabling participants to interact from the comfort of their own spaces. Purposive sampling was employed in this paper with 30 final year students from different specialisations. The data was analysed using themes and sub-themes. The findings indicates that many students struggle with formulating the problem statement, establishing the background of the study, and providing a rationale for their research, which negatively impacts their research development. The study proposes targeted interventions such as structured research mentorship programs, integration of research workshops into the curriculum and the use of technology-enhanced learning tools to scaffold research learning. Further propose a strategy to bridge the gap between theoretical knowledge and practical research application, ultimately fostering a culture of inquiry and academic rigor among future teachers. Based on these findings, restructuring the research component within the B Ed program is essential. This includes integrating research components in Teaching Practice training to promote reflective practice and facilitate research skill development among BEd students.
This study reflects on the researchers’ experiences who conducted research in an open distance and eLearning (ODeL) institution with external supervisors of mathematics education pre-service teachers teaching practice. Despite the value placed on research in an open distance and eLearning environment, some researchers still have trouble accessing data when using the online web-based survey approach to conduct research, especially among supervisors of Mathematics education pre-service teachers' teaching practice (TP) exercise at a typical ODeL institution in South Africa. This insider research is born out of the fact that there is less research conducted in South Africa, that ascertains the experiences of researchers themselves on a project. In light of the foregoing, this study attempts to reflect on the experiences and challenges faced by researchers at the University of South Africa while working on a project that was centered on the supervision of pre-service teachers' teaching practice in a mathematics classroom context titled ODL-RSP Project. The study used a reflective method involving the observations and experiences kept by researchers to record detailed notes during initiation, data collection (interview process) and workshop attendance by the researchers. The reflection involved research team members focusing on the Quality of Mathematics Teaching Practice Supervision in the ODeL Environment. The analysis of the data was derived from the reflections. The study used a reflective method involving the observations and experiences kept by researchers to record detailed notes during initiation, data collection (interview process) and workshop attendance by the researchers. The reflection involved research team members focusing on the Quality of Mathematics Teaching Practice Supervision in the ODeL Environment. The analysis of the data was derived from the reflections.
The purpose of this essay is to discuss the phases and challenges of the explanatory sequential design (ESD hereinafter) of mixed methods research (MMR hereinafter) by reviewing relevant literature. The literature was explored during the design stage of a Ph.D. project that sought to examine the relationship among social capital, education, and employment for foreign students graduating from several Estonian universities. The review finds that the explanatory sequential design of MMR is much more complex than just sequencing how and what kind of data to collect; it also entails selecting how data will be processed and presented using a range of techniques that are often riddled with difficulties. By addressing these ideas, this paper will aid those interested in comprehending the summary of the explanatory sequential design of MMR.
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 |