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 07:23 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.
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 |
|---|---|---|---|---|---|
| 2026 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2026 | All selected publications | 0 | 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): 2026-10-21T07:23:06.698292+00:00 — 2026-10-21T07:23:06.703103+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 | 0 | 2 | 2/2 |
| 2024 | All selected publications | 0 | 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 |
|---|---|
| 2026 | 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 | 0 | 0 | 2/2 | 0.0 | 0.0 | 0.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This article explores the safety of drivers in the e-hailing industry in the light of criminal activities, regulatory challenges, and potential preventative measures. Between 2020 and 2024, the number of assaults, robberies, car hijackings, instances of malicious damage to property, and murder has risen considerably. The key safety risks of the these crimes includes armed violent attacks. E- Hailing taxis face safety risks like route deviations and potential assaults. The lack of real-time tracking transparency and driver vetting can heighten risks, especially at night or in isolated areas. Driver’s faces risk robbery, assault or disputes over fares. Inadequate safety features in apps and poor passenger screening contribute to these risks. Implementing tech security measures boosts e-hailing safety. Recommendations includes, driver and passenger verification (biometrics or ID checks), real-time GPS tracking with route sharing, in-app emergency SOS buttons linked to authorities and AI-driven driver behaviour monitoring. In South Africa, the e-hailing industry is regulated by the National Land Transport Act. A qualitative research approach was adopted and a systematic literature review was conducted to collect the data. The purpose of this study is to examine the safety concerns of drivers in the e-hailing industry. Drivers face several safety risks such as assault, robbery, hijacking and malicious damage to property, even murder. The key recommendation of this article is that the e-hailing industry enhance its security measures to ensure the safety and well-being of its drivers. With this article, the authors hope to add to the scientific literature on the phenomenon under investigation. The article finds that e-hailing management has neglected the safety of drivers by failing to provide them with technological device such as dashboard cameras. In addition, e-hailing drivers have not been trained in safety and security.
A fast-growing number of workers have turned to digital platforms as an alternative to traditional work arrangements. Digital platform work is assumed as short term, temporary ‘gigs’ interceded by businesses that are linking self-employed workers to clients via an application. This study explores the factors that influence the growth of gig employment in the digital economy. The study uses a systematic review to obtain relevant data from Google Scholar, Taylor and Francis and Science Direct. The study revealed that autonomy, flexibility, value creation and performance feedback motivate individuals to work as gig workers. The findings show how digital platforms have developed to attract individuals to participate as gig workers in the sharing economy. The paper contributes to the literature by highlighting factors that drives the development of digital platforms. The results of this study have implications for future research on gig employment to the society and businesses.
This article explores the safety of drivers in the e-hailing industry in the light of criminal activities, regulatory challenges, and potential preventative measures. Between 2020 and 2024, the number of assaults, robberies, car hijackings, instances of malicious damage to property, and murder has risen considerably. The key safety risks of the these crimes includes armed violent attacks. E- Hailing taxis face safety risks like route deviations and potential assaults. The lack of real-time tracking transparency and driver vetting can heighten risks, especially at night or in isolated areas. Driver’s faces risk robbery, assault or disputes over fares. Inadequate safety features in apps and poor passenger screening contribute to these risks. Implementing tech security measures boosts e-hailing safety. Recommendations includes, driver and passenger verification (biometrics or ID checks), real-time GPS tracking with route sharing, in-app emergency SOS buttons linked to authorities and AI-driven driver behaviour monitoring. In South Africa, the e-hailing industry is regulated by the National Land Transport Act. A qualitative research approach was adopted and a systematic literature review was conducted to collect the data. The purpose of this study is to examine the safety concerns of drivers in the e-hailing industry. Drivers face several safety risks such as assault, robbery, hijacking and malicious damage to property, even murder. The key recommendation of this article is that the e-hailing industry enhance its security measures to ensure the safety and well-being of its drivers. With this article, the authors hope to add to the scientific literature on the phenomenon under investigation. The article finds that e-hailing management has neglected the safety of drivers by failing to provide them with technological device such as dashboard cameras. In addition, e-hailing drivers have not been trained in safety and security.
A fast-growing number of workers have turned to digital platforms as an alternative to traditional work arrangements. Digital platform work is assumed as short term, temporary ‘gigs’ interceded by businesses that are linking self-employed workers to clients via an application. This study explores the factors that influence the growth of gig employment in the digital economy. The study uses a systematic review to obtain relevant data from Google Scholar, Taylor and Francis and Science Direct. The study revealed that autonomy, flexibility, value creation and performance feedback motivate individuals to work as gig workers. The findings show how digital platforms have developed to attract individuals to participate as gig workers in the sharing economy. The paper contributes to the literature by highlighting factors that drives the development of digital platforms. The results of this study have implications for future research on gig employment to the society and businesses.
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 |