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: 4 / 4 publications (100.0%). Latest observation: 21 Oct 2026, 00:21 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 01:15 UTC — 23 Oct 2026 23:38 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.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 selected publications.
4 / 4 with data · 0 missing or unmatched. Percentages use all 4 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 |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2021 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 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 4 / 4 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): 2026-10-22T01:15:56.860425+00:00 — 2026-10-23T23:38:10.403979+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 | 4 | 4/4 |
| 2018 | All selected publications | 0 | 4 | 4/4 |
| 2019 | All selected publications | 0 | 4 | 4/4 |
| 2020 | All selected publications | 0 | 4 | 4/4 |
| 2021 | All selected publications | 0 | 4 | 4/4 |
| 2022 | All selected publications | 0 | 4 | 4/4 |
| 2023 | All selected publications | 0 | 4 | 4/4 |
| 2024 | All selected publications | 0 | 4 | 4/4 |
| 2025 | All selected publications | 0 | 4 | 4/4 |
| 2026 | All selected publications | 2 | 4 | 4/4 |
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 |
|---|---|
| 2021 | 1 |
| 2023 | 1 |
| 2024 | 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 Finance & Banking Studies SSBFNET | 4 | 2 | 2 | 4/4 | 0.5 | 0.5 | 50.0 | 4/4 · 100.0% |
* Percentage among publications with a known citation count.
This study analyses the impact of external debt on the financial performance of commercial banks in Kenya for the period 2008-2022. Employing descriptive, correlational, and inferential research designs, the study reviewed data from the Central Bank of Kenya, the World Bank, KNBS, and IMF on a quarterly basis. By employing the Augmented Dickey-Fuller test, ROE and external debt were further qualified to be stationary at first difference. The results highlighted by the Autoregressive Distributed Lag (ARDL) analysis indicated a statistically significant negative relationship between external debt and financial performance; the coefficients (-0.8998) confirmed that for every unit of increase in external debt, there would be a decline in ROE by 0.8998 units. The study establishes that external debt has been detrimental to the financial health of Kenyan banks due to the economic pressure it brings to the sector. For this purpose, it suggests that the government should avoid borrowing from external sources, and it has advised the development of measures that encourage overseas investors to invest in the country's banking sector. The policy of attracting FDI can enhance capital availability and alleviate the financial load on banking institutions. Relaxing regulations that restrict foreign investors would pave the way for this and help increase the bank’s performance, thus enhancing long-term economic growth.
This study sought to determine the contributions of satellite campuses on financial sustainability of public universities in Kenya. The specific objectives will be to examine how financial accountability and effective management contribute to financial sustainability of public universities in Kenya. The study adopted descriptive survey research design. The target population was 176 selected staff of public universities in Kenya of which all of them were used in the study. The study adopted both descriptive analysis and for inferential statistical analysis data was cleaned coded and correlation analyses done the findings were financial accountability was positively correlated and significant p< 0.0. For regression also financial accountability as well as resource allocation and effective management had a positive relationship with financial sustainability. R squared was 0.731 therefore financial accountability and resource allocation explained 73.1% of variance in financial sustainability. Moderation was established using hierarchical regression, when the interaction terms of the moderator were added the value of R squared changed from 73.1% to 79.4% thus effective management and leadership had moderating effects on the relationship between financial sustainability and contribution of satellite campuses.Thus universities should mobilize resources from development partners and focus on recovering full economic costs and investing in its infrastructure including human, intellectual and physical adequately to maintain future productive capacity to deliver its strategic plan and serve its customers.
Dividend payout is one of financial options that Saccos consider as part of the key performance indicators for Saccos. Deposit taking Saccos in Kenya have faced numerous challenges namely, governance, managerial and operational such that the performance of a number of them continues to be sub optimal according to the report by SASRA. Therefore, this study sought to examine the influence of board characteristics on dividend policy of deposit taking Saccos in Kenya under guidance by agency cost theory. The study utelized causal design and descriptive survey design. The targeted population was 403 stakeholders sampling 201 through stratified simple random sampling. The sacco directors/chairpersons and the CFO/CEOs formed unit of analysis. Closed ended questionnaires were applied for primary data. A list of 20 Saccos in Starehe Sub County, Nairobi County were basis for pilot test to establish reliability and validity of research instruments. Cronbach Alpha was employed to ascertain reliability, whereas content and construct validity were utilized to attain validity. The data underwent analysis through the application of descriptive as well as inferential statistics. The investigation ensured that the assumptions of linear regression were satisfied before conducting numerous linear regressions. Tables were used to present data. The results indicated a positive significant association between board characteristics practices and dividend policy P:0.000<0.05 hence conclusive that deposit-taking Saccos in Kenya focused on board characteristics as envisaged. The study recommended that Sacco’s should diverse the board features to ensure they accommodate the dividend policy framework.
Fee collection tactics are measures that school administrators do to achieve the school's objectives by putting together the sum thought appropriate for school fees charges, such as creating automatic fee payment plans and sending out reminders to parents. There are challenges associated with fee payment as parents are the main contributors, yet they are in different economic position. The government has consistently delayed funding their portion which is still below required standards. Therefore, this study was focused on school fee collection strategies and financial accountability of Public Secondary Schools in Khwisero Sub County. The study was guided by agency theory. The research design used in this study was a descriptive survey. The 25 public secondary schools in the Khwisero sub-county of Kenya represented the 50 stakeholders who were the focus of the study. The county schools auditor, who oversaw all of the schools in the research, was also a part of the census survey that included all 50 stakeholders. Data was gathered with the help of standardized questionnaires. Mean and standard deviation were used for descriptive statistics, while Pearson correlation and simple linear regression were used for inferential statistics. SPSS, a statistical program used in the social sciences, helped with this. Tables were used to present the data. The financial transparency of public secondary schools in Khwisero sub County, Kakamega County, was significantly influenced by the collection tactics with an R2 of 0.504. The research suggests that public secondary schools should incorporate school factors that have a significant impact on financial accountability into their main key elements that should be considered when handling school fund accounts and find ways in which fee collection can be enhanced to ensure there is adequate cashflow.
This study analyses the impact of external debt on the financial performance of commercial banks in Kenya for the period 2008-2022. Employing descriptive, correlational, and inferential research designs, the study reviewed data from the Central Bank of Kenya, the World Bank, KNBS, and IMF on a quarterly basis. By employing the Augmented Dickey-Fuller test, ROE and external debt were further qualified to be stationary at first difference. The results highlighted by the Autoregressive Distributed Lag (ARDL) analysis indicated a statistically significant negative relationship between external debt and financial performance; the coefficients (-0.8998) confirmed that for every unit of increase in external debt, there would be a decline in ROE by 0.8998 units. The study establishes that external debt has been detrimental to the financial health of Kenyan banks due to the economic pressure it brings to the sector. For this purpose, it suggests that the government should avoid borrowing from external sources, and it has advised the development of measures that encourage overseas investors to invest in the country's banking sector. The policy of attracting FDI can enhance capital availability and alleviate the financial load on banking institutions. Relaxing regulations that restrict foreign investors would pave the way for this and help increase the bank’s performance, thus enhancing long-term economic growth.
Dividend payout is one of financial options that Saccos consider as part of the key performance indicators for Saccos. Deposit taking Saccos in Kenya have faced numerous challenges namely, governance, managerial and operational such that the performance of a number of them continues to be sub optimal according to the report by SASRA. Therefore, this study sought to examine the influence of board characteristics on dividend policy of deposit taking Saccos in Kenya under guidance by agency cost theory. The study utelized causal design and descriptive survey design. The targeted population was 403 stakeholders sampling 201 through stratified simple random sampling. The sacco directors/chairpersons and the CFO/CEOs formed unit of analysis. Closed ended questionnaires were applied for primary data. A list of 20 Saccos in Starehe Sub County, Nairobi County were basis for pilot test to establish reliability and validity of research instruments. Cronbach Alpha was employed to ascertain reliability, whereas content and construct validity were utilized to attain validity. The data underwent analysis through the application of descriptive as well as inferential statistics. The investigation ensured that the assumptions of linear regression were satisfied before conducting numerous linear regressions. Tables were used to present data. The results indicated a positive significant association between board characteristics practices and dividend policy P:0.000<0.05 hence conclusive that deposit-taking Saccos in Kenya focused on board characteristics as envisaged. The study recommended that Sacco’s should diverse the board features to ensure they accommodate the dividend policy framework.
Fee collection tactics are measures that school administrators do to achieve the school's objectives by putting together the sum thought appropriate for school fees charges, such as creating automatic fee payment plans and sending out reminders to parents. There are challenges associated with fee payment as parents are the main contributors, yet they are in different economic position. The government has consistently delayed funding their portion which is still below required standards. Therefore, this study was focused on school fee collection strategies and financial accountability of Public Secondary Schools in Khwisero Sub County. The study was guided by agency theory. The research design used in this study was a descriptive survey. The 25 public secondary schools in the Khwisero sub-county of Kenya represented the 50 stakeholders who were the focus of the study. The county schools auditor, who oversaw all of the schools in the research, was also a part of the census survey that included all 50 stakeholders. Data was gathered with the help of standardized questionnaires. Mean and standard deviation were used for descriptive statistics, while Pearson correlation and simple linear regression were used for inferential statistics. SPSS, a statistical program used in the social sciences, helped with this. Tables were used to present the data. The financial transparency of public secondary schools in Khwisero sub County, Kakamega County, was significantly influenced by the collection tactics with an R2 of 0.504. The research suggests that public secondary schools should incorporate school factors that have a significant impact on financial accountability into their main key elements that should be considered when handling school fund accounts and find ways in which fee collection can be enhanced to ensure there is adequate cashflow.
This study sought to determine the contributions of satellite campuses on financial sustainability of public universities in Kenya. The specific objectives will be to examine how financial accountability and effective management contribute to financial sustainability of public universities in Kenya. The study adopted descriptive survey research design. The target population was 176 selected staff of public universities in Kenya of which all of them were used in the study. The study adopted both descriptive analysis and for inferential statistical analysis data was cleaned coded and correlation analyses done the findings were financial accountability was positively correlated and significant p< 0.0. For regression also financial accountability as well as resource allocation and effective management had a positive relationship with financial sustainability. R squared was 0.731 therefore financial accountability and resource allocation explained 73.1% of variance in financial sustainability. Moderation was established using hierarchical regression, when the interaction terms of the moderator were added the value of R squared changed from 73.1% to 79.4% thus effective management and leadership had moderating effects on the relationship between financial sustainability and contribution of satellite campuses.Thus universities should mobilize resources from development partners and focus on recovering full economic costs and investing in its infrastructure including human, intellectual and physical adequately to maintain future productive capacity to deliver its strategic plan and serve its customers.
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 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |