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: 22 Oct 2026 02:38 UTC — 23 Oct 2026 07:30 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): 2026-10-22T02:38:09.731344+00:00 — 2026-10-23T07:30:27.344004+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 Business Ecosystem & Strategy Bussecon International Academy | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 1 | 0 | 0 | 1/1 | 0.0 | 0 | 0.0 | 1/1 · 100.0% |
* Percentage among publications with a known citation count.
As digitalization is on the increase, deposit money banks are faced with heightened exposure to cyber threats, which pose significant risks to their financial performance and operational stability. This study investigated how cybersecurity investment and cyber insurance affected the profitability of deposit money banks, to know whether preemptive cybersecurity management strategies and transfer of risk through insurance influence financial results in the banking sector. The results revealed that both cybersecurity investment and cyber insurance have significant positive effects on bank profitability, with coefficients of 7.832 (p < 0.01) and 17.08 (p < 0.05), respectively. The study also revealed that cybersecurity investment provides more accurate estimates than cyber insurance which is reflected in its narrower confidence intervals. The results emphasize the strategic role of cybersecurity investment and insurance to improve financial flexibility, reduce operational risk, and support enduring profitability. It concluded that banks that prioritize these strategies will not only mitigate possible losses from cyber incidents but also gain a competitive advantage through strengthened customer trust and operational efficiency. The study recommended that Nigerian deposit money banks should treat cyber insurance as a vital component of cyber risk management strategies. It is also recommended that bank management should treat cybersecurity expenditure as value-adding investments rather than operational costs.
Cybersecurity is an urgent concern for small and medium enterprises (SMEs) in Uganda, driven by the rapid digital transformation of businesses and increasing dependence on online platforms. This study explores Ugandan SMEs' cybersecurity challenges, highlighting prevalent cyber threats, risk exposure, and a cyber maturity typology to mitigate cybercrime effectively. Using a qualitative, descriptive research design based on secondary data and a literature review, the study examines how Digital, Blended, and Traditional Business Models influence SMEs' cybersecurity preparedness. A key contribution of this research is the development of a context-sensitive typology of SME cyber maturity, which categorises businesses as Traditional, Transitioning, Digitally Enabled, and Digitally Mature, aligned with the National Institute of Standards and Technology (NIST) Cybersecurity Framework but adapted to Uganda's unique environment. The study identifies ongoing issues such as data breaches, financial fraud, and weak digital infrastructure, as well as gaps in policy enforcement and the disconnect between cybersecurity regulations and SME operators' literacy levels, as key cybersecurity threats. Informal responses to cybercrime, including vigilante actions, are also highlighted. This study provides a maturity typology for SMEs that guides policymakers and business owners in improving cybersecurity practices in Ugandan SMEs. The study calls for multi-stakeholder collaboration, stronger regulatory enforcement, and scalable awareness programs to build a more resilient SME sector. Overall, this study contributes to the discourse on SME cybersecurity by proposing literacy-sensitive interventions tailored to the needs of Uganda and offering a foundation for future research into the effectiveness of Uganda's cybersecurity frameworks.
As digitalization is on the increase, deposit money banks are faced with heightened exposure to cyber threats, which pose significant risks to their financial performance and operational stability. This study investigated how cybersecurity investment and cyber insurance affected the profitability of deposit money banks, to know whether preemptive cybersecurity management strategies and transfer of risk through insurance influence financial results in the banking sector. The results revealed that both cybersecurity investment and cyber insurance have significant positive effects on bank profitability, with coefficients of 7.832 (p < 0.01) and 17.08 (p < 0.05), respectively. The study also revealed that cybersecurity investment provides more accurate estimates than cyber insurance which is reflected in its narrower confidence intervals. The results emphasize the strategic role of cybersecurity investment and insurance to improve financial flexibility, reduce operational risk, and support enduring profitability. It concluded that banks that prioritize these strategies will not only mitigate possible losses from cyber incidents but also gain a competitive advantage through strengthened customer trust and operational efficiency. The study recommended that Nigerian deposit money banks should treat cyber insurance as a vital component of cyber risk management strategies. It is also recommended that bank management should treat cybersecurity expenditure as value-adding investments rather than operational costs.
Cybersecurity is an urgent concern for small and medium enterprises (SMEs) in Uganda, driven by the rapid digital transformation of businesses and increasing dependence on online platforms. This study explores Ugandan SMEs' cybersecurity challenges, highlighting prevalent cyber threats, risk exposure, and a cyber maturity typology to mitigate cybercrime effectively. Using a qualitative, descriptive research design based on secondary data and a literature review, the study examines how Digital, Blended, and Traditional Business Models influence SMEs' cybersecurity preparedness. A key contribution of this research is the development of a context-sensitive typology of SME cyber maturity, which categorises businesses as Traditional, Transitioning, Digitally Enabled, and Digitally Mature, aligned with the National Institute of Standards and Technology (NIST) Cybersecurity Framework but adapted to Uganda's unique environment. The study identifies ongoing issues such as data breaches, financial fraud, and weak digital infrastructure, as well as gaps in policy enforcement and the disconnect between cybersecurity regulations and SME operators' literacy levels, as key cybersecurity threats. Informal responses to cybercrime, including vigilante actions, are also highlighted. This study provides a maturity typology for SMEs that guides policymakers and business owners in improving cybersecurity practices in Ugandan SMEs. The study calls for multi-stakeholder collaboration, stronger regulatory enforcement, and scalable awareness programs to build a more resilient SME sector. Overall, this study contributes to the discourse on SME cybersecurity by proposing literacy-sensitive interventions tailored to the needs of Uganda and offering a foundation for future research into the effectiveness of Uganda's cybersecurity frameworks.
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 |