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: 7 / 7 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.
6 / 7 with data · 1 missing or unmatched. Percentages use all 7 selected publications.
6 / 7 with data · 1 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 |
|---|---|---|---|---|---|
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 5 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2018 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2019 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 4 | 2 | 2/2 | 2/2 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | 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 7 / 7 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): 2026-10-21T00:49:30.131587+00:00 — 2026-10-21T07:23:00.677188+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 | 7 | 7/7 |
| 2018 | All selected publications | 0 | 7 | 7/7 |
| 2019 | All selected publications | 0 | 7 | 7/7 |
| 2020 | All selected publications | 1 | 7 | 7/7 |
| 2021 | All selected publications | 0 | 7 | 7/7 |
| 2022 | All selected publications | 0 | 7 | 7/7 |
| 2023 | All selected publications | 1 | 7 | 7/7 |
| 2024 | All selected publications | 3 | 7 | 7/7 |
| 2025 | All selected publications | 4 | 7 | 7/7 |
| 2026 | All selected publications | 2 | 7 | 7/7 |
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 |
|---|---|
| 2018 | 1 |
| 2019 | 1 |
| 2021 | 1 |
| 2022 | 1 |
| 2023 | 2 |
| 2025 | 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 | 7 | 7 | 11 | 7/7 | 1.0 | 1 | 57.1 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
In recent years, there has been a drive to recruit more women into science, technology, engineering, and mathematics (STEM) careers. However, a perceived lack of interest by girl learners in STEM subjects and careers presents a challenge. Therefore, the purpose of this study was to investigate the reasons that encourage high school girls to choose STEM subjects and careers. A qualitative design that adopted the case study approach using the interpretivist paradigm was chosen for this study. The data were collected using a focus group with a novel sample of girls taking technical subjects at a technical high school in a rural area. The study identified four facilitating factors that steer girl learners towards choosing STEM subjects and STEM-related careers. These factors were primary school experience, parental influence, prosperity through employment and entrepreneurial opportunities, breaking stereotypes, and being a role model. The insights gained from this study could be beneficial to the government, businesses, social activists, schools, teachers, and other relevant stakeholders in encouraging girl learners to choose STEM-related and related careers.
This paper examines the narrative about gender influence in students' career choices and professions is something that needs to be reconsidered to remain relevant in the fourth industrial revolution (4IR) and a society that is always evolving. The 4IR has resulted in disruptive innovation globally, wherefore, the technological innovation that includes artificial intelligence (AI) and robotics. These disruptions, however, may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. Hence, a positive impact on key industries and sectors, like business, health, and education as the globe rapidly moves toward a more digital economy, many low- and middle-income countries face difficulties finding competent workers to fill crucial Information and Communication Technology (ICT) professions in growing markets. The fourth industrial revolution, which involves more than just technological transformation, is drawing attention around the globe. This shortfall is made worse by the underrepresentation of women in ICT-related fields. The demand for ICT professionals/ workers and the supply of job seekers with the necessary technical skills threaten the ability of the country (South Africa) to take part in a powerful driver of growth in the fourth industrial revolution. This paper is a systematic literature review supported by the theory of social cognitive career theory (SCCT) and expectancy-value theory (EVT). The findings revealed that gender disparity, inadequate career guidance, and educational career ambition play an enormous role amongst male and female students when choosing ICT as a career choice.
Employees’ level of career intention plays an important role in organizational readiness and dynamism to achieve success. Several studies were conducted on career adaptability and career intention, however, only a few were able to find evidence on the influence of position and years in service to government employees in the Philippines. This study aims to determine the significant differences in career adaptability and career intention of government employees based on years of service and job level. Results showed a significant difference in career intention when grouped according to job level and years in service and no significant difference in career adaptability when grouped according to job level and years in service.
The article presents an action research process for the improvement of Vocational Guidance and Career Education in a school center in Santa Cruz de Tenerife (Canary Islands). The research perspective, from a collaborative and critical work, responds to the need to improve the teaching-learning practice. Priority is given to the ulterior need to improve learning for all students and increase the impact of their journey through school by means of an educational attention and guidance based on a curriculum project with an integrated and global Career Education and Guidance. Finally, results, process and conclusions are displayed of the two years of critical action research carried out by the different educational agents participating.
The study claims that gender greatly affects STEM performance, with one gender continuously outperforming another, which may influence instructors' methods. One gender's performance ratings vary more than the other, suggesting STEM academic success is inconsistent. We collected data using varied methodologies. STEM enrolment and performance data were evaluated using Python statistical analysis programs with mean, median, and variability evaluations, and boxplots, pie charts, and bar charts were shown. This study found that (i) STEM qualifications have significant enrolment disparities, with Extended BSc Biochemistry and Microbiology being the most popular and Extended BSc Mathematics and Statistics being the least, and (ii) curriculum attractiveness and employment prospects strongly influence student selections. Female students excelled in Biology, Chemistry, and English, while male students excelled in IT and Mathematics. Finally, informed policy formulation and curriculum development are needed to improve STEM student engagement and achievement across genders.
The study claims that gender greatly affects STEM performance, with one gender continuously outperforming another, which may influence instructors' methods. One gender's performance ratings vary more than the other, suggesting STEM academic success is inconsistent. We collected data using varied methodologies. STEM enrolment and performance data were evaluated using Python statistical analysis programs with mean, median, and variability evaluations, and boxplots, pie charts, and bar charts were shown. This study found that (i) STEM qualifications have significant enrolment disparities, with Extended BSc Biochemistry and Microbiology being the most popular and Extended BSc Mathematics and Statistics being the least, and (ii) curriculum attractiveness and employment prospects strongly influence student selections. Female students excelled in Biology, Chemistry, and English, while male students excelled in IT and Mathematics. Finally, informed policy formulation and curriculum development are needed to improve STEM student engagement and achievement across genders.
This paper examines the narrative about gender influence in students' career choices and professions is something that needs to be reconsidered to remain relevant in the fourth industrial revolution (4IR) and a society that is always evolving. The 4IR has resulted in disruptive innovation globally, wherefore, the technological innovation that includes artificial intelligence (AI) and robotics. These disruptions, however, may be creative in that as some jobs are lost due to the development of artificial intelligence, new ones are created. Hence, a positive impact on key industries and sectors, like business, health, and education as the globe rapidly moves toward a more digital economy, many low- and middle-income countries face difficulties finding competent workers to fill crucial Information and Communication Technology (ICT) professions in growing markets. The fourth industrial revolution, which involves more than just technological transformation, is drawing attention around the globe. This shortfall is made worse by the underrepresentation of women in ICT-related fields. The demand for ICT professionals/ workers and the supply of job seekers with the necessary technical skills threaten the ability of the country (South Africa) to take part in a powerful driver of growth in the fourth industrial revolution. This paper is a systematic literature review supported by the theory of social cognitive career theory (SCCT) and expectancy-value theory (EVT). The findings revealed that gender disparity, inadequate career guidance, and educational career ambition play an enormous role amongst male and female students when choosing ICT as a career choice.
In recent years, there has been a drive to recruit more women into science, technology, engineering, and mathematics (STEM) careers. However, a perceived lack of interest by girl learners in STEM subjects and careers presents a challenge. Therefore, the purpose of this study was to investigate the reasons that encourage high school girls to choose STEM subjects and careers. A qualitative design that adopted the case study approach using the interpretivist paradigm was chosen for this study. The data were collected using a focus group with a novel sample of girls taking technical subjects at a technical high school in a rural area. The study identified four facilitating factors that steer girl learners towards choosing STEM subjects and STEM-related careers. These factors were primary school experience, parental influence, prosperity through employment and entrepreneurial opportunities, breaking stereotypes, and being a role model. The insights gained from this study could be beneficial to the government, businesses, social activists, schools, teachers, and other relevant stakeholders in encouraging girl learners to choose STEM-related and related careers.
The purpose of this study is to determine the mediating and moderating factor of organizational climate on the relationship of career adaptability and career intention. A total of 991 employees from a government institution participated in the study. The results showed that there are significant relationships between organizational climate, career adaptability, and career intention. The organizational climate was found to mediate the relationship between career adaptability and career intention. However, the organizational climate has no moderating effect on career adaptability and career intention. The result will be useful in providing guidance in the design and development of programs that will strengthen the employees’ career intention and the overall perception of the organizational climate.
Employees’ level of career intention plays an important role in organizational readiness and dynamism to achieve success. Several studies were conducted on career adaptability and career intention, however, only a few were able to find evidence on the influence of position and years in service to government employees in the Philippines. This study aims to determine the significant differences in career adaptability and career intention of government employees based on years of service and job level. Results showed a significant difference in career intention when grouped according to job level and years in service and no significant difference in career adaptability when grouped according to job level and years in service.
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 |