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 00:22 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2026 | 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 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): 2026-10-21T00:22:03.861240+00:00 — 2026-10-21T07:23:09.011066+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 | 1 | 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 |
|---|---|
| 2022 | 1 |
| 2026 | 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 Finance & Banking Studies SSBFNET | 1 | 1 | 1 | 1/1 | 1.0 | 1 | 100.0 | 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.
Advocates of blockchain claim widespread impact will be forthcoming shortly. However, the path of innovation in blockchain is uncharted. Investors will assess where blockchain innovation will profit first and most. The timing and impact of each blockchain innovation is a key consideration for business managers. Link, Ruhm, and Siegel (2014) suggest private equity investments forecast which innovations are likely to succeed. Previous research on private equity gives insight on why that ownership structure is especially successful. Private equity investments are collected for two periods and categorized according to basic blockchain components, basic cryptocurrency payment components, and decentralized applications, particularly applications in financial services. The results suggest investors have acted prudently, investing strongly in building blocks, payment systems and fundamental applications, showing a primary emphasis on refining blockchain and realizing standard blockchain protocols before investing in highly complex applications. Further, financial services applications dominate, suggesting investors see financial services as far and away the most likely industry for imminent deconstruction.
Despite the significant economic contribution of the jua kali enterprises, the industry is beset by fundamental financial issues that limit their firm performance. Consequently, many of these enterprises fail soon after they open for operation; 50% to 95% fail during the first five years. The development of seed capital is one of the main issues affecting the firm performance of Jua Kali enterprises. This research assessed the effects of seed capital on firm performance of Jua Kali enterprises in Kamukunji, Nairobi City County, Kenya. The specific objectives were to; establish the effect of angel investors, equity financing and crowdfunding on firm performance of Jua Kali enterprises in Kamukunji, Nairobi City County, Kenya. The anchor theory was the Resource-Based View, Pecking Order Theory, and Information Asymmetry Theory. The study used quantitative methods, applying positivism paradigms. Both explanatory and descriptive research designs was used in this study. The target population was the 4763 Jua Kal enterprises in Kamukunji, Nairobi City County, Kenya and unit of enquiry their managers/owners. Using, a formula, the study obtained a sample size of 367 respondents. The study used stratified proportionate sampling and simple random sampling to obtain respondents from the associations. Construct validity was used to examine the questionnaire's validity and Cronbach's alpha at the 0.7 level was used to test its reliability. Data was analysed to produce descriptive and inferential statistics. The results from the analysis were presented on frequency tables. The study found that each of angel investors, equity financing and crowdfunding, has significant effect on firm performance of Jua Kali enterprises in Kamukunji, Nairobi City County, Kenya. The study recommends for angel investors to be active not only in providing finance but also in strategic mentorship and networking, and advisory services. For entrepreneurs, internal equity financing should come first while the potential of crowdfunding can be harnessed by training business owners. More so, entrepreneurs should build management skills, financial literacy, and strategic abilities while the government and regulatory bodies should streamline policies and clarify compliance requirements with supportive tax incentives.
Despite the significant economic contribution of the jua kali enterprises, the industry is beset by fundamental financial issues that limit their firm performance. Consequently, many of these enterprises fail soon after they open for operation; 50% to 95% fail during the first five years. The development of seed capital is one of the main issues affecting the firm performance of Jua Kali enterprises. This research assessed the effects of seed capital on firm performance of Jua Kali enterprises in Kamukunji, Nairobi City County, Kenya. The specific objectives were to; establish the effect of angel investors, equity financing and crowdfunding on firm performance of Jua Kali enterprises in Kamukunji, Nairobi City County, Kenya. The anchor theory was the Resource-Based View, Pecking Order Theory, and Information Asymmetry Theory. The study used quantitative methods, applying positivism paradigms. Both explanatory and descriptive research designs was used in this study. The target population was the 4763 Jua Kal enterprises in Kamukunji, Nairobi City County, Kenya and unit of enquiry their managers/owners. Using, a formula, the study obtained a sample size of 367 respondents. The study used stratified proportionate sampling and simple random sampling to obtain respondents from the associations. Construct validity was used to examine the questionnaire's validity and Cronbach's alpha at the 0.7 level was used to test its reliability. Data was analysed to produce descriptive and inferential statistics. The results from the analysis were presented on frequency tables. The study found that each of angel investors, equity financing and crowdfunding, has significant effect on firm performance of Jua Kali enterprises in Kamukunji, Nairobi City County, Kenya. The study recommends for angel investors to be active not only in providing finance but also in strategic mentorship and networking, and advisory services. For entrepreneurs, internal equity financing should come first while the potential of crowdfunding can be harnessed by training business owners. More so, entrepreneurs should build management skills, financial literacy, and strategic abilities while the government and regulatory bodies should streamline policies and clarify compliance requirements with supportive tax incentives.
Advocates of blockchain claim widespread impact will be forthcoming shortly. However, the path of innovation in blockchain is uncharted. Investors will assess where blockchain innovation will profit first and most. The timing and impact of each blockchain innovation is a key consideration for business managers. Link, Ruhm, and Siegel (2014) suggest private equity investments forecast which innovations are likely to succeed. Previous research on private equity gives insight on why that ownership structure is especially successful. Private equity investments are collected for two periods and categorized according to basic blockchain components, basic cryptocurrency payment components, and decentralized applications, particularly applications in financial services. The results suggest investors have acted prudently, investing strongly in building blocks, payment systems and fundamental applications, showing a primary emphasis on refining blockchain and realizing standard blockchain protocols before investing in highly complex applications. Further, financial services applications dominate, suggesting investors see financial services as far and away the most likely industry for imminent deconstruction.
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 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |