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 07:22 UTC — 21 Oct 2026 07:22 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 | 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 | 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 | 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): 2026-10-21T07:22:45.287205+00:00 — 2026-10-21T07:22:54.931173+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 | 1 | 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 |
| 2024 | 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 | 2 | 1 | 1 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
The objective of this study was to determine the effect of public sector financial information disclosure on the quality of financial reporting in public secondary schools in Kakamega County. This study was premised on a theoretical foundation based on legitimacy theory. The study employed a descriptive research design. The study targeted 419 public secondary schools, from which a sample of 205 public secondary schools was obtained using a stratified random sampling technique. The study used Primary data, which was collected using a structured questionnaire. Data were analyzed using version 26 of the Statistical Package of Social Sciences (SPSS). Descriptive and inferential methods of data analysis were used. The analyzed data was presented using tables, models, frequencies and percentages. The study found that public sector financial information disclosure was significant at (? = 0.790, t = 15.488 at p<0.01) on quality financial reporting. From the R Square, it accounted for 54.7% of the variance in quality financial reporting (p = 0.000). The study concluded that disclosure of public sector financial information significantly affected the quality of financial reporting in public secondary schools in Kakamega County. The study recommended that there is a need for financial information and reports to be made available to the users in a timely fashion and in the correct format and language that can make it easy for them to analyze and interpret. This would ensure that there is adequate disclosure of going on concern information which is more comprehensive, integrated and more helpful in decision-making process.
Audits are essential because of the separation of ownership and control in modern economies. Shareholders or owners delegate resources to management to enhance their wealth under this arrangement. Therefore, they want the agents to provide authentic, precise, and impeccable reports. Therefore, the research evaluated the effect of auditor independence on the performance and the moderating effect of firm size on the relationship between auditor independence and the performance of deposit-taking SACCOs in Kenya. The study was based on Agency theory. The study used a descriptive survey research technique. The study used primary data collected using structured questionnaire. A sample size of 223 was selected by a simple random sampling method from a target of 504. Descriptive and inferential statistics were used to examine the data using the SPSS 26 software. The R2 of 0.512 suggests that 51.2% of the variability in the financial performance can be accounted for by the auditor's independence. Firm Size increased the R2 to 0.714 an indication that it is a significant moderator on the relation between internal audit independence and performance. For each one-unit rise in Sacco size, the impact of the Auditor’s Independence on financial performance increases by 0.222 units substantially (P=0.000). The study concluded that Sacco size has a significant moderator in this study. The study recommended that Saccos should tailor their strategies and internal audit processes based on their size. Larger Saccos may benefit from more robust auditor independence measures and closer scrutiny of financial performance indicators.
Audits are essential because of the separation of ownership and control in modern economies. Shareholders or owners delegate resources to management to enhance their wealth under this arrangement. Therefore, they want the agents to provide authentic, precise, and impeccable reports. Therefore, the research evaluated the effect of auditor independence on the performance and the moderating effect of firm size on the relationship between auditor independence and the performance of deposit-taking SACCOs in Kenya. The study was based on Agency theory. The study used a descriptive survey research technique. The study used primary data collected using structured questionnaire. A sample size of 223 was selected by a simple random sampling method from a target of 504. Descriptive and inferential statistics were used to examine the data using the SPSS 26 software. The R2 of 0.512 suggests that 51.2% of the variability in the financial performance can be accounted for by the auditor's independence. Firm Size increased the R2 to 0.714 an indication that it is a significant moderator on the relation between internal audit independence and performance. For each one-unit rise in Sacco size, the impact of the Auditor’s Independence on financial performance increases by 0.222 units substantially (P=0.000). The study concluded that Sacco size has a significant moderator in this study. The study recommended that Saccos should tailor their strategies and internal audit processes based on their size. Larger Saccos may benefit from more robust auditor independence measures and closer scrutiny of financial performance indicators.
The objective of this study was to determine the effect of public sector financial information disclosure on the quality of financial reporting in public secondary schools in Kakamega County. This study was premised on a theoretical foundation based on legitimacy theory. The study employed a descriptive research design. The study targeted 419 public secondary schools, from which a sample of 205 public secondary schools was obtained using a stratified random sampling technique. The study used Primary data, which was collected using a structured questionnaire. Data were analyzed using version 26 of the Statistical Package of Social Sciences (SPSS). Descriptive and inferential methods of data analysis were used. The analyzed data was presented using tables, models, frequencies and percentages. The study found that public sector financial information disclosure was significant at (? = 0.790, t = 15.488 at p<0.01) on quality financial reporting. From the R Square, it accounted for 54.7% of the variance in quality financial reporting (p = 0.000). The study concluded that disclosure of public sector financial information significantly affected the quality of financial reporting in public secondary schools in Kakamega County. The study recommended that there is a need for financial information and reports to be made available to the users in a timely fashion and in the correct format and language that can make it easy for them to analyze and interpret. This would ensure that there is adequate disclosure of going on concern information which is more comprehensive, integrated and more helpful in decision-making process.
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 |