CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

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Research across participating journals · All insights follow your collection filters.

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OpenAlex coverage 100.0% · 3/3 recordsLast OpenAlex observation 22 Oct 2026, 01:32 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS33/3 with known counts
OPENALEX CITATIONS63/3 with known counts
OPENALEX MEAN2.0Per article with a known count
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institution: Karatina University Remove ×topic: Banking stability, regulation, efficiency Remove ×
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Output and reach

Publication activity alongside incoming citations.

Publication activity

Articles grouped by publication year

Publications

Hover over a year or focus the chart and use arrow keys to inspect values.

2026 is year to date. 0 undated publications excluded.

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Citations received

OpenAlex · year of the citing work

OpenAlex

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.

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Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

Karatina University33/3 records with data

Countries

Kenya33/3 records with data

Primary topics

Banking stability, regulation, efficiency33/3 records with data
Two perspectives on citations

Follow the research impact

Independent sources. Clear time scales.

Lifetime citations by publication year

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.

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Citations received each year

OpenAlex · incoming citation links grouped by citing-work year

OpenAlex

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.

View data & coverage
Annual history: 3/3 articles. Latest history observation: 2026-10-22T01:32:10.297588+00:00. Source totals are never added together.
Research side by side

Compare journals

Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.

Leave all unchecked to include every matching journal. Selection affects only comparison charts.
Display range
International Journal of Research in Business and Social Science

Publications

Articles by publication year

View data & coverage

Crossref citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex citations

Latest lifetime totals · grouped by publication year

View data & coverage

OpenAlex · Citations received

By year of the citing work · 2017–2026

View data & coverage

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.

Full analytics report All distributions, publications, comparisons & data provenance
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS3
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS1.0

Crossref citation coverage: 3 / 3 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.

OpenAlex / Separate citation source

A broader view of this research

DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.

OPENALEX CITATIONS6
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY2.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 01:32 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–526–20021+0Unknown0

Institutions, countries & topics

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.

Institutions

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Countries

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Primary topics

3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.

Citation year / OpenAlex

Citations received over time

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 3 / 3 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 — 2026-10-22T01:32:10.297588+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

31.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32020 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32023 · All selected publications · OpenAlex · Citations received by year: 3 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/3 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications033/3
2018All selected publications033/3
2019All selected publications033/3
2020All selected publications133/3
2021All selected publications133/3
2022All selected publications033/3
2023All selected publications333/3
2024All selected publications033/3
2025All selected publications033/3
2026All selected publications133/3

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 ↗

Crossref citation distribution

Latest Crossref totals for the selected publications; not citations received in the selected years.

Mean1.0
Median1
No citations11–526–20021+0Unknown0

Unknown counts are excluded from the mean, median and cited-publication rate.

Journal comparison

Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.

Journal / publisherPublicationsCrossref citationsOpenAlex citationsOpenAlex coverageCrossref meanCrossref medianCrossref cited %*Crossref coverage
International Journal of Research in Business and Social Science
SSBFNET
3363/31.0166.73/3 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Influence of credit risk on shareholder market value of commercial banks listed in Nairobi Securities Exchange

Kellen Kiambati

International Journal of Research in Business and Social Science · 2020

Read abstract

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. 

DOI 10.20525/ijrbs.v9i2.6132 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Moderating effect of bank size on nexus between internal equity capital and financial performance of lower tier commercial banks in Kenya

Patrick Karuki Kinyua · Richard Kiai · Stephen Muriu

International Journal of Research in Business and Social Science · 2022

Read abstract

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.  

DOI 10.20525/ijrbs.v11i6.19831 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Effect of loan-loss provisioning on financial performance of deposit taking SACCOs in Kirinyaga County, Kenya

Moses Migwi Maina · Richard Kiai · Joseph Muchiri

International Journal of Research in Business and Social Science · 2024

Read abstract

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.

DOI 10.20525/ijrbs.v13i5.33990 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Effect of loan-loss provisioning on financial performance of deposit taking SACCOs in Kirinyaga County, Kenya

Moses Migwi Maina · Richard Kiai · Joseph Muchiri

International Journal of Research in Business and Social Science · 2024

Read abstract

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.

DOI 10.20525/ijrbs.v13i5.33990 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Moderating effect of bank size on nexus between internal equity capital and financial performance of lower tier commercial banks in Kenya

Patrick Karuki Kinyua · Richard Kiai · Stephen Muriu

International Journal of Research in Business and Social Science · 2022

Read abstract

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.  

DOI 10.20525/ijrbs.v11i6.19831 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Influence of credit risk on shareholder market value of commercial banks listed in Nairobi Securities Exchange

Kellen Kiambati

International Journal of Research in Business and Social Science · 2020

Read abstract

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. 

DOI 10.20525/ijrbs.v9i2.6132 Crossref citations5 OpenAlex citations

Data coverage & freshness

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

SourceMost recent successful journal syncLatest attempt
crossref21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
ojs-rest21 Oct 2026 07:22 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 06:46 UTC
oai-pmh20 Oct 2026 19:55 UTC · ijrbscomplete · ijrbs · 20 Oct 2026 19:50 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
Full import history & methodology →