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 07:22 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 |
|---|---|---|---|---|---|
| 2024 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 10 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2024 | All selected publications | 12 | 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): 2026-10-21T07:22:57.122900+00:00 — 2026-10-21T07:22:57.906852+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 | 0 | 3 | 3/3 |
| 2023 | All selected publications | 0 | 3 | 3/3 |
| 2024 | All selected publications | 1 | 3 | 3/3 |
| 2025 | All selected publications | 4 | 3 | 3/3 |
| 2026 | All selected publications | 7 | 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 |
|---|---|
| 2024 | 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 Research in Business and Social Science SSBFNET | 3 | 10 | 12 | 3/3 | 3.33 | 1 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
This study examined the role of soft skills, technical skills and academic performance on graduate employability. The study was underpinned by the Human Capital Theory. By using a positivist quantitative approach data were collected from one higher education institution in Tanzania. The study used a sample of 217 final year students who filled a standard questionnaire. Data analysis employed descriptive and inferential statistics. The study found that soft skills (r=.644, p<.05), technical skills (r=.593, p<.05) and academic performance (r=.376, p<.05) individually predict perceived graduate employability. As per the findings, students with better soft and technical skills have a higher chance of getting employed. On the other hand, students with higher academic performance as measured by grade point average (GPA) are more employable than those with lower performance. Controlling these three independent variables depends on efforts of various stakeholders. This research calls for collective efforts of educators, policy makers, students, regulatory authorities and other stakeholders to work in ensuring that right and relevant skills are provided in HEIs and there is a supportive environment for students to perform better academically.
Over the years, internship programmes have been used by the government to reduce youth unemployment. However, there is no clear indication of the extent to which the programmes enhance the career progression of recipients and whether internship programmes are essential in determining an individual career path. Hence, the study sought to examine the relationship between internship programme and career progression. A quantitative study was adopted to investigate the relationship of internship programmes with the career progressions of recipients in South Africa. The data was collected from Mbombela Municipality's current internship candidates and employees who were absorbed from the internship programme using a four-point Likert scale self-developed questionnaire. Out of one hundred research instruments distributed to research participants that were identified based on purposeful and convenient non-probability sampling, only seventy useful responses were retrieved. Descriptive statistics were used to analyse the participant's demographic information, while Pearson Product-Moment Correlation was used to analyse the relationship between the internship programme and career progression. The result was 0.001, which means that a positive linear correlation exists between internship programmes and career progression. When managed correctly, these programmes can effectively curb the unemployment rate through absorption, personal development, and providing the right experience matching their qualifications. Furthermore, by emphasising the subtle aspects of internship programmes that have significantly impacted each programme participant's career growth, the study contributes to the existing knowledge of the study variables in order to structure internship programmes according to the educational qualification and provide participants with the required tools that will enhance a positive career progression when the internship is concluded.
The study explored the experiences of unemployed graduates at Vleifontein Village Elim in Makhado Local Municipality in Limpopo Province, South Africa. To achieve the mandate of the study, the researcher adopted a unique qualitative research approach, which gathered in-depth data from the participants. This approach, distinct in its focus on understanding the experiences of unemployed graduates, aided in the elevated understanding of the research problem. The study adopted an exploratory qualitative research design to gather or collect data from the participants, and the researcher used semi-structured interviews consisting of open-ended questions administered face-to-face to observe gestures, emotions, feelings, or even how they react to the questions. Furthermore, purposive sampling was used to select the sample that formed part of the interviews. Additionally, the study adopted the Conflict theory by Karl Marx to integrate with the study. Therefore, the findings of the study deduced that most of the participants understood the meaning of unemployment as their current socio-economic state, both from a financial and psychological perspective. Moreover, on the issue of the challenges, the findings deduced that they are not experienced and skilled enough for the jobs they are applying for. In that light, the study emphasizes the need for increased employment opportunities to minimize the negative impacts faced by unemployed graduates, which includes specialized training of graduates to render services that would make it easier for the graduates to find employment.
Over the years, internship programmes have been used by the government to reduce youth unemployment. However, there is no clear indication of the extent to which the programmes enhance the career progression of recipients and whether internship programmes are essential in determining an individual career path. Hence, the study sought to examine the relationship between internship programme and career progression. A quantitative study was adopted to investigate the relationship of internship programmes with the career progressions of recipients in South Africa. The data was collected from Mbombela Municipality's current internship candidates and employees who were absorbed from the internship programme using a four-point Likert scale self-developed questionnaire. Out of one hundred research instruments distributed to research participants that were identified based on purposeful and convenient non-probability sampling, only seventy useful responses were retrieved. Descriptive statistics were used to analyse the participant's demographic information, while Pearson Product-Moment Correlation was used to analyse the relationship between the internship programme and career progression. The result was 0.001, which means that a positive linear correlation exists between internship programmes and career progression. When managed correctly, these programmes can effectively curb the unemployment rate through absorption, personal development, and providing the right experience matching their qualifications. Furthermore, by emphasising the subtle aspects of internship programmes that have significantly impacted each programme participant's career growth, the study contributes to the existing knowledge of the study variables in order to structure internship programmes according to the educational qualification and provide participants with the required tools that will enhance a positive career progression when the internship is concluded.
The study explored the experiences of unemployed graduates at Vleifontein Village Elim in Makhado Local Municipality in Limpopo Province, South Africa. To achieve the mandate of the study, the researcher adopted a unique qualitative research approach, which gathered in-depth data from the participants. This approach, distinct in its focus on understanding the experiences of unemployed graduates, aided in the elevated understanding of the research problem. The study adopted an exploratory qualitative research design to gather or collect data from the participants, and the researcher used semi-structured interviews consisting of open-ended questions administered face-to-face to observe gestures, emotions, feelings, or even how they react to the questions. Furthermore, purposive sampling was used to select the sample that formed part of the interviews. Additionally, the study adopted the Conflict theory by Karl Marx to integrate with the study. Therefore, the findings of the study deduced that most of the participants understood the meaning of unemployment as their current socio-economic state, both from a financial and psychological perspective. Moreover, on the issue of the challenges, the findings deduced that they are not experienced and skilled enough for the jobs they are applying for. In that light, the study emphasizes the need for increased employment opportunities to minimize the negative impacts faced by unemployed graduates, which includes specialized training of graduates to render services that would make it easier for the graduates to find employment.
This study examined the role of soft skills, technical skills and academic performance on graduate employability. The study was underpinned by the Human Capital Theory. By using a positivist quantitative approach data were collected from one higher education institution in Tanzania. The study used a sample of 217 final year students who filled a standard questionnaire. Data analysis employed descriptive and inferential statistics. The study found that soft skills (r=.644, p<.05), technical skills (r=.593, p<.05) and academic performance (r=.376, p<.05) individually predict perceived graduate employability. As per the findings, students with better soft and technical skills have a higher chance of getting employed. On the other hand, students with higher academic performance as measured by grade point average (GPA) are more employable than those with lower performance. Controlling these three independent variables depends on efforts of various stakeholders. This research calls for collective efforts of educators, policy makers, students, regulatory authorities and other stakeholders to work in ensuring that right and relevant skills are provided in HEIs and there is a supportive environment for students to perform better academically.
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 |