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: 11 / 11 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 — 23 Oct 2026 06:56 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.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 selected publications.
11 / 11 with data · 0 missing or unmatched. Percentages use all 11 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 3 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 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 |
|---|---|---|---|---|---|
| 2017 | All selected publications | 17 | 1 | 1/1 | 1/1 |
| 2018 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2019 | All selected publications | 0 | 2 | 2/2 | 2/2 |
| 2020 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 8 | 2 | 2/2 | 2/2 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2024 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| 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 11 / 11 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): 2026-10-21T07:22:43.080591+00:00 — 2026-10-23T06:56:30.818614+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 | 1 | 11 | 11/11 |
| 2018 | All selected publications | 0 | 11 | 11/11 |
| 2019 | All selected publications | 0 | 11 | 11/11 |
| 2020 | All selected publications | 5 | 11 | 11/11 |
| 2021 | All selected publications | 2 | 11 | 11/11 |
| 2022 | All selected publications | 7 | 11 | 11/11 |
| 2023 | All selected publications | 7 | 11 | 11/11 |
| 2024 | All selected publications | 4 | 11 | 11/11 |
| 2025 | All selected publications | 3 | 11 | 11/11 |
| 2026 | All selected publications | 3 | 11 | 11/11 |
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 |
|---|---|
| 2017 | 1 |
| 2019 | 2 |
| 2020 | 1 |
| 2021 | 2 |
| 2022 | 1 |
| 2023 | 1 |
| 2024 | 2 |
| 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 | 2 | 9 | 18 | 2/2 | 4.5 | 4.5 | 100.0 | 2/2 · 100.0% |
| International Journal of Research in Business and Social Science SSBFNET | 9 | 6 | 14 | 9/9 | 0.67 | 0 | 33.3 | 9/9 · 100.0% |
* Percentage among publications with a known citation count.
<p>Operational risk threatens banks financial viability and long-term sustainability. The purpose of this paper is to explore the effect of operational risk on financial performance of commercial banks in Kenya. The qualitative research design and ordered logistic model were employed. The data was analysed with the aid of STATA software. The conclusion of the study was that there exists an inverse relationship between operational risk and financial performance. The study also finds that bank size moderates the effect internal and external fraud on financial performance of commercial banks in Kenya by shrinking it. Bank size moderates the effect execution, delivery and process management on financial performance of commercial banks in Kenya by enhancing it. The guidelines and procedures provided by the Central bank of Kenya on operational risk management should be fully adhered into.</p>
Liquidity risk is the potential that an entity will be unable to acquire the cash required to meet its short and intermediate-term obligations. Deposit-taking Savings and Credit Cooperative Organisation (SACCOs) face liquidity risk when they are unable to fund their operations and lending requirements to their members as and when circumstances demand. Given that liquidity is a key phenomenon on the optimal functioning and financial performance of deposit-taking SACCOs, this study critically analyzed the effect of liquidity risk on the financial performance of DT SACCOs in Kenya. The study used a descriptive survey design and employed regression methods to model the relationship between liquidity risk and financial performance of DT SACCOs. The data were analyzed at a 5% level of significance. The study findings revealed that at a 5% level of significance, liquidity risk had a statistically significant influence on the financial performance of deposit-taking SACCOs. Basing on the findings, DT SACCOs are encouraged to focus on enhancing the mobilization of deposits to ensure that an asset portfolio that minimizes liquidity risk is maintained.
This study examines the influence of credit risk on the shareholder market value of commercial banks listed in the Nairobi Securities Exchange. A mixed-method approach and concurrent design were used in this study. Logistic regression was performed to ascertain the influence of credit risk on shareholder market value of commercial banks listed in the Nairobi Securities Exchange as a quantitative method and processes tracing as a qualitative approach to trace the causal mechanism by which credit risk contributes to shareholder market value. This research demonstrated that (i)there is a relationship between credit risk and shareholder market value among the commercial banks listed in NSE; (ii) Wald (1) =41.475, p=.000, sig<.05, 2-tailed is below the permissible value of likelihood above which null hypothesis is accepted. The study concludes that there is a relationship between credit risks and Shareholders Market Value in commercial banks listed in NSE.
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.
The Kenyan banking sector is categorized into three tiers, tier I, II and III based on bank size. The profitability of tier II and III has been declining begging the question as to whether the size of the bank has any influence on the performance of the banks. This study determines the influence of internal equity capital on the financial performance of lower-tier commercial banks in Kenya. The study employed a descriptive and explanatory research design. The study population was 26 commercial banks in Tier II and III commercial banks in Kenya from 2016 to 2020. The average internal equity for lower-tier commercial banks in Kenya was .364 in 2016 and .400 in 2017. In 2018, the internal equity sharply rose to 8.299, which was followed by a small decline to 7.782 in 2019 signifying that in 2018 and 2019, lower-tier commercial banks in Kenya employed more internal equity financing to finance their operations. Through the hierarchical regression, it was established that internal equity has a positive and significant influence on the financial performance of lower-tier commercial banks in Kenya. Bank size does not moderate the effect of internal equity on the net profit margin of lower-tier commercial banks in Kenya (p = .202>0.05; R2 change of 0.07). The study recommends that lower-tier commercial banks need to encourage its shareholders to re-invest back their earnings rather than consuming them as dividends as internal equity is affordable and readily available when the bank is in urgent financial need.
This study examined the effect of deposit diversification on the financial performance of Deposit-Taking Savings and Credit Cooperative Societies (DT-SACCOs) in Kenya and evaluated the moderating effect of corporate governance on this relationship. The study adopted a positivist research philosophy and a causal research design. The target population comprised 176 SASRA-licensed DT-SACCOs in Kenya, from which 122 SACCOs with complete financial records for the period 2015–2024 were selected using simple random sampling. Panel data techniques, including fixed-effects and random-effects regression models, were employed to estimate the direct and moderating effects, while hierarchical regression was used to test the moderation hypothesis. The findings revealed that non-withdrawable deposits significantly and positively influenced both surplus and dividend payout after introducing lags, whereas withdrawable deposits had no significant effect on financial performance. The results further established that corporate governance had a positive and significant direct effect on financial performance and significantly strengthened the relationship between deposit diversification and financial performance. The findings provide practical guidance for DT-SACCO managers and policymakers to strengthen stable deposit mobilization and corporate governance as mechanisms for enhancing financial sustainability and institutional performance.
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.
Savings and Credit Co-operatives in Kenya are required to adhere to regulations set by the SACCOs Regulation Authority. Among the regulations is the requirement that the management has to present a myriad of reports including; the Capital Adequacy Return report, Liquidity Statement report, Statement of Financial Position and Statement of Deposit Return. The Return on Investments report compares land, building, and financial assets to SACCO's total assets and its core capital. Despite the existence of prudential guidelines, their influence on the financial performance of deposit-taking SACCOs in Kenya remains contentious with some claiming regulatory compliance in the form of SASRA prudential guidelines has a positive influence while others argue that SASRA regulation has insignificant influence on the financial performance of deposit taking SACCOs. This study seeks to determine the effect of loan-loss provisioning on the financial performance of Deposit-taking SACCOs in Kirinyaga County, Kenya. The study adopted a cross-section descriptive research design. The study population was 10 deposit-taking SACCOs in Kirinyaga County over the period 2017-2022 relying on secondary data. Data analysis involved descriptive and inferential statistics. From the inferential results, the study concluded that loan-loss provisioning positively and significantly affected the financial performance of the deposit-taking SACCOs in Kirinyaga County. The study recommended that the deposit-taking SACCOs in Kirinyaga County ought to strive to be capital-adequate as well as manage their loans efficiently. Being capital-adequate ensures that the SACCOs can expand their operations and hence be sustainable, competitive, and finally profitable. Managing its loans through periodic classification of the loans and having room for loan loss provision ensures the sustainability of the SACCOs.
The purpose of this study is to examine the relationship between portfolio diversification, government regulations, and the financial performance of DT SACCOs in Nairobi County, Kenya. It aims to determine the impact of financial asset investment on the financial performance of deposit-taking SACCOs in Nairobi County, Kenya; the impact of loan portfolios on the financial performance of deposit-taking SACCOs in Nairobi County; and the moderating effect of government regulations on the relationship between portfolio diversification and the financial performance of deposit-taking SACCOs in Nairobi County, Kenya. Capital market theory, modern portfolio theory, risk aversion theory, arbitrage portfolio theory, and decision-making theory will serve as the study's foundation. For the period under review, secondary data will be collected from audited annual financial statements included in SASRA reports.
The Kenyan banking sector is categorized into three tiers, tier I, II and III based on bank size. The profitability of tier II and III has been declining begging the question as to whether the size of the bank has any influence on the performance of the banks. This study determines the influence of internal equity capital on the financial performance of lower-tier commercial banks in Kenya. The study employed a descriptive and explanatory research design. The study population was 26 commercial banks in Tier II and III commercial banks in Kenya from 2016 to 2020. The average internal equity for lower-tier commercial banks in Kenya was .364 in 2016 and .400 in 2017. In 2018, the internal equity sharply rose to 8.299, which was followed by a small decline to 7.782 in 2019 signifying that in 2018 and 2019, lower-tier commercial banks in Kenya employed more internal equity financing to finance their operations. Through the hierarchical regression, it was established that internal equity has a positive and significant influence on the financial performance of lower-tier commercial banks in Kenya. Bank size does not moderate the effect of internal equity on the net profit margin of lower-tier commercial banks in Kenya (p = .202>0.05; R2 change of 0.07). The study recommends that lower-tier commercial banks need to encourage its shareholders to re-invest back their earnings rather than consuming them as dividends as internal equity is affordable and readily available when the bank is in urgent financial need.
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 |