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: 22 Oct 2026 01:34 UTC — 22 Oct 2026 01:57 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 3 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 4 | 3 | 3/3 | 3/3 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 8 | 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): 2026-10-22T01:34:51.879626+00:00 — 2026-10-22T01:57:52.088103+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 | 1 | 3 | 3/3 |
| 2023 | All selected publications | 2 | 3 | 3/3 |
| 2024 | All selected publications | 3 | 3 | 3/3 |
| 2025 | All selected publications | 2 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 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 |
|---|---|
| 2022 | 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 | 4 | 8 | 3/3 | 1.33 | 2 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
The motorcycle taxi business is increasingly becoming one of the key livelihood strategies in the urban settings of Sub-Saharan Africa. However, crime against operators is threatening the subsector and jeopardizes the livelihood of motorcycle riders. This study examines urban crime and its implications on the livelihoods of motorcycle taxi riders in Dar es Salaam Tanzania in a bid to recommend strategies for alleviating the looming crime. Based on the qualitative design, data were collected using in-depth interviews, focus group discussion and indirect observations with a sample of 100 motorcycle taxi-riders. Thematic data analysis was employed based on the five themes [aka assets] pre-determined from the sustainable livelihood framework namely natural, physical, human, social and financial assets. Findings show that crime has negatively impacted the motorcycle taxi riders’ livelihoods through erosion of the livelihood assets. Accordingly, in order to alleviate the crime, relevant authorities should devise a well-defined mechanism of sharing crime information, use of technology such as the GPRS system and security cameras around the city, ensure the availability of the police and prompt response to crime incidence through night security patrols and sharing reliable contacts, provision of security and crime education and awareness to the riders. Others are ensuring an effective, communication system between and among the motorcycle riders e.g. through phones, WhatsApp groups, and other social media, and use of ID cards by the riders for easy identification and traceability whenever they fall victims of crime.
Despite official crime figures showing a continuous decline in the rate of crime, the perception of the high level of crime by many Malaysians suggests other factors are affecting their perception of safety from crime. The objective of this study is to identify and understand these factors through a qualitative study that employs online focus group discussions. This study argues that the perception of safety from crime is the result of interactions of a number of factors such as the experience of victimisation, crime information, neighbourhood conditions as well as the perception of law enforcement and government crime reduction policy. The sense of safety from crime is also contextual as it may fluctuate according to time, place, activities and situations. Analysis of the data from the focus group discussions found that participants generally have a high perception of safety from crime. However, participants felt less safe when they were in public places and when interacting with online services. In most circumstances, participants' sense of safety is affected by the pressure to be vigilant and to avoid criminal victimisation. This pressure is exacerbated by low-quality information on crime that is often received through social media. Crime information on social media has a significant impact on participants’ perceptions of crime. The overall analysis of the findings suggests that the most important factor which affects the perception of safety from crime among these selected Malaysians is their sense of safety in their homes and their neighbourhood. Hence, efforts to increase the sense of safety among Malaysians should focus on this context.
This article explores the nature and extent of crime in the railway environment in South Africa. Crimes against Passenger Rail Agency of South Africa, Transnet Freight Rail, Gautrain, and commuters are prevalent and the victims are being exposed to serious damage emanating from criminal activities. The challenges and implications for individuals and businesses, rich or poor consumers are recurrent themes in this study. A qualitative research approach was adopted to follow a non-probability purposive sample comprising 25 participants from the South African Police Service Rapid Rail Police Units. The data were collected through semi-structured interviews from research participants deployed in the Division: Visible Policing. The findings highlighted that the most prevalent crimes are cable theft, robberies and malicious property damage. The targeted trains are the Metro trains that operate locally, as they transport many commuters because it is the affordable mode of public transport in South Africa. The perpetrators also target this mode of transport because the train stations have an open system where perpetrators can easily access the entrance, therefore some do not even buy tickets and board the trains illegally. It is understood that Gautrain has a closed system and the security is advanced and watertight because of extra security measures such as the closed-circuit television cameras. Based on the findings, effective implementation of policies to improve safety is essential. Critical dialogues between all relevant.
This article explores the nature and extent of crime in the railway environment in South Africa. Crimes against Passenger Rail Agency of South Africa, Transnet Freight Rail, Gautrain, and commuters are prevalent and the victims are being exposed to serious damage emanating from criminal activities. The challenges and implications for individuals and businesses, rich or poor consumers are recurrent themes in this study. A qualitative research approach was adopted to follow a non-probability purposive sample comprising 25 participants from the South African Police Service Rapid Rail Police Units. The data were collected through semi-structured interviews from research participants deployed in the Division: Visible Policing. The findings highlighted that the most prevalent crimes are cable theft, robberies and malicious property damage. The targeted trains are the Metro trains that operate locally, as they transport many commuters because it is the affordable mode of public transport in South Africa. The perpetrators also target this mode of transport because the train stations have an open system where perpetrators can easily access the entrance, therefore some do not even buy tickets and board the trains illegally. It is understood that Gautrain has a closed system and the security is advanced and watertight because of extra security measures such as the closed-circuit television cameras. Based on the findings, effective implementation of policies to improve safety is essential. Critical dialogues between all relevant.
The motorcycle taxi business is increasingly becoming one of the key livelihood strategies in the urban settings of Sub-Saharan Africa. However, crime against operators is threatening the subsector and jeopardizes the livelihood of motorcycle riders. This study examines urban crime and its implications on the livelihoods of motorcycle taxi riders in Dar es Salaam Tanzania in a bid to recommend strategies for alleviating the looming crime. Based on the qualitative design, data were collected using in-depth interviews, focus group discussion and indirect observations with a sample of 100 motorcycle taxi-riders. Thematic data analysis was employed based on the five themes [aka assets] pre-determined from the sustainable livelihood framework namely natural, physical, human, social and financial assets. Findings show that crime has negatively impacted the motorcycle taxi riders’ livelihoods through erosion of the livelihood assets. Accordingly, in order to alleviate the crime, relevant authorities should devise a well-defined mechanism of sharing crime information, use of technology such as the GPRS system and security cameras around the city, ensure the availability of the police and prompt response to crime incidence through night security patrols and sharing reliable contacts, provision of security and crime education and awareness to the riders. Others are ensuring an effective, communication system between and among the motorcycle riders e.g. through phones, WhatsApp groups, and other social media, and use of ID cards by the riders for easy identification and traceability whenever they fall victims of crime.
Despite official crime figures showing a continuous decline in the rate of crime, the perception of the high level of crime by many Malaysians suggests other factors are affecting their perception of safety from crime. The objective of this study is to identify and understand these factors through a qualitative study that employs online focus group discussions. This study argues that the perception of safety from crime is the result of interactions of a number of factors such as the experience of victimisation, crime information, neighbourhood conditions as well as the perception of law enforcement and government crime reduction policy. The sense of safety from crime is also contextual as it may fluctuate according to time, place, activities and situations. Analysis of the data from the focus group discussions found that participants generally have a high perception of safety from crime. However, participants felt less safe when they were in public places and when interacting with online services. In most circumstances, participants' sense of safety is affected by the pressure to be vigilant and to avoid criminal victimisation. This pressure is exacerbated by low-quality information on crime that is often received through social media. Crime information on social media has a significant impact on participants’ perceptions of crime. The overall analysis of the findings suggests that the most important factor which affects the perception of safety from crime among these selected Malaysians is their sense of safety in their homes and their neighbourhood. Hence, efforts to increase the sense of safety among Malaysians should focus on this context.
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 |