CiteNScope — Scholarly Index & 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, 02:37 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS23/3 with known counts
OPENALEX CITATIONS63/3 with known counts
OPENALEX MEAN2.0Per article with a known count
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topic: Financial Distress and Bankruptcy Prediction 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.

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Institutions

University of Brawijaya1Jomo Kenyatta University of Agriculture and Technology1Meru University of Science and Technology13/3 records with data

Countries

Kenya2Indonesia13/3 records with data

Primary topics

Financial Distress and Bankruptcy Prediction33/3 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: 2026-10-22T02:37:04.082805+00:00. Source totals are never added together.
Research side by side

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

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Display range
International Journal of Finance & Banking StudiesInternational Journal of Research in Business and Social Science

Publications

Articles by publication year

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Crossref citations

Latest lifetime totals · grouped by publication year

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OpenAlex citations

Latest lifetime totals · grouped by publication year

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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 CITATIONS2
CROSSREF · CITED PUBLICATIONS66.7%
CROSSREF · MEAN CITATIONS0.67

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: 22 Oct 2026 01:32 UTC — 22 Oct 2026 02:37 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): 2026-10-22T01:32:20.785059+00:00 — 2026-10-22T02:37:04.082805+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: 0 · Annual history coverage 3/32021 · All selected publications · OpenAlex · Citations received by year: 0 · 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: 2 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 3 · 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 publications033/3
2021All selected publications033/3
2022All selected publications033/3
2023All selected publications233/3
2024All selected publications333/3
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.

Mean0.67
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 Finance & Banking Studies
SSBFNET
1001/10.000.01/1 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
2262/21.01.0100.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

The effect of financial distress using the Altman and Springate Models on stock return in mediated earnings management

Faradisa Bachmid · Sumiati Sumiati · Siti Aisjah

International Journal of Research in Business and Social Science · 2021

Read abstract

This study aims to examine and analyze the effect of financial distress with the Altman and Springate Models on stock returns either directly or indirectly by involving earnings management as a mediation. This study uses secondary data from Textile and Garment Companies listed on the Indonesia Stock Exchange from 2015-2019, with a sample of 20 companies using sampling so that 100 observations are obtained. The data is obtained from the annual financial statements. The data analysis technique used SEM-PLS with the help of WarpPLS 6.0 software. The results of the study provide empirical evidence that financial distress has a positive effect on earnings management, while financial distress and earnings management has a negative effect on stock returns. Earnings management is able to mediate the effect of financial distress on stock returns.

DOI 10.20525/ijrbs.v10i5.12791 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Related party transactions and financial distress of Savings and Credit Cooperative Organizations (SACCOs) in Kenya

Susan Jepkorir Mursoi · Willy Muturi · James Ndegwa

International Journal of Research in Business and Social Science · 2021

Read abstract

The widespread failure of DT SACCOs in Kenya is likely to lead to a loss of confidence among the current and potential members of the DT SACCOs in Kenya and eventually threatens to kill the sector. The study examined the effect of related party transactions on financial distress in DT-SACCOs in Kenya; the study adopted the following theories as to the basis of analyzing the collected data; wrecker’s financial distress theories and Agency theory. The target population was 176 Deposit-Taking SACCOs. Secondary data was obtained from SACCOs records as published by SASRA. The study used a systematic sampling technique based on the sampling formula by Taro Yamane (1967) to obtain the appropriate sample size of 68 DT SACCOs. Data were analyzed using STATA computer software. Data collection covered seven (7) year period from 2008 -2014, this period of 7 years was selected for the study because SASRA has enacted in 2010 therefore the justification for the choice of the study period, that is 3 years before and 4 years after SASRA enactment. The study established that related party transactions had a significant effect on financial distress in DT SACCOs in Kenya. The implications of the findings are that if the DT-SACCOs do not manage related party transactions then they will continue experiencing financial distress. The government through SASRA therefore should enact strict regulations in directors borrowing from SACCOs. The study has expounded on the body of knowledge on measures of financial distress in finance by introducing new relationships established. In terms of the contribution of the current study to innovation, the study used panel data analysis while other studies used OLS.

DOI 10.20525/ijrbs.v10i1.10061 Crossref citations5 OpenAlex citations
JOURNAL ARTICLE

Analysis of the Related Party Transactions in terms of managerial and financial issues for the Kenyan Savings and Credit Cooperatives

Halldess nguta Munene · Ken Mugambi

International Journal of Finance & Banking Studies · 2021

Read abstract

Related party transactions are a key factor to the sustainability of Savings and Credit Cooperatives (SACCOs). In view of this fact, loans to directors and staff are viewed as a factor which can greatly influence savings and credit cooperatives into either falling into financial distress or helping them to remain a float and become financially stable entities. The stakeholder theory holds that entities should be managed a manner that will satisfy every stakeholder. The stewardship theory reiterates that managers have the organisation at heart and can it to profitability as if it were their own. However approval of loans and other transactions to managers and staff, may not positively impact the entity. This study was designed to establish the effect of related party transactions on the relationship between board characteristics and financial distress of deposit taking SACCOs in Nairobi County. We applied Descriptive research design on Deposit taking SACCOs in Nairobi County which was identified purposively while a census was conceded for all deposit taking SACCOs in the county. We obtained secondary data from SASRA using a data collection sheet after which we performed panel data analysis by use of STATA software. Findings were presented using tables. The study concluded that related party transactions influenced the relationship between board characteristics and financial distress of Deposit Taking SACCOs in Nairobi County. Related party transactions can be an avenue of causing financial distress and should be kept as low as possible. The regulator should come up with a tool based on Altman’s Z score models to predict financial distress in SACCOs in order to offer timely advice to alleviate more distress and consequent bankruptcy which may lead to closure of SACCOs. Another research may be carried out to establish other factors causing financial distress and how to turn around the SACCOs already in distress.

DOI 10.20525/ijfbs.v10i1.10810 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

The effect of financial distress using the Altman and Springate Models on stock return in mediated earnings management

Faradisa Bachmid · Sumiati Sumiati · Siti Aisjah

International Journal of Research in Business and Social Science · 2021

Read abstract

This study aims to examine and analyze the effect of financial distress with the Altman and Springate Models on stock returns either directly or indirectly by involving earnings management as a mediation. This study uses secondary data from Textile and Garment Companies listed on the Indonesia Stock Exchange from 2015-2019, with a sample of 20 companies using sampling so that 100 observations are obtained. The data is obtained from the annual financial statements. The data analysis technique used SEM-PLS with the help of WarpPLS 6.0 software. The results of the study provide empirical evidence that financial distress has a positive effect on earnings management, while financial distress and earnings management has a negative effect on stock returns. Earnings management is able to mediate the effect of financial distress on stock returns.

DOI 10.20525/ijrbs.v10i5.12791 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Analysis of the Related Party Transactions in terms of managerial and financial issues for the Kenyan Savings and Credit Cooperatives

Halldess nguta Munene · Ken Mugambi

International Journal of Finance & Banking Studies · 2021

Read abstract

Related party transactions are a key factor to the sustainability of Savings and Credit Cooperatives (SACCOs). In view of this fact, loans to directors and staff are viewed as a factor which can greatly influence savings and credit cooperatives into either falling into financial distress or helping them to remain a float and become financially stable entities. The stakeholder theory holds that entities should be managed a manner that will satisfy every stakeholder. The stewardship theory reiterates that managers have the organisation at heart and can it to profitability as if it were their own. However approval of loans and other transactions to managers and staff, may not positively impact the entity. This study was designed to establish the effect of related party transactions on the relationship between board characteristics and financial distress of deposit taking SACCOs in Nairobi County. We applied Descriptive research design on Deposit taking SACCOs in Nairobi County which was identified purposively while a census was conceded for all deposit taking SACCOs in the county. We obtained secondary data from SASRA using a data collection sheet after which we performed panel data analysis by use of STATA software. Findings were presented using tables. The study concluded that related party transactions influenced the relationship between board characteristics and financial distress of Deposit Taking SACCOs in Nairobi County. Related party transactions can be an avenue of causing financial distress and should be kept as low as possible. The regulator should come up with a tool based on Altman’s Z score models to predict financial distress in SACCOs in order to offer timely advice to alleviate more distress and consequent bankruptcy which may lead to closure of SACCOs. Another research may be carried out to establish other factors causing financial distress and how to turn around the SACCOs already in distress.

DOI 10.20525/ijfbs.v10i1.10810 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Related party transactions and financial distress of Savings and Credit Cooperative Organizations (SACCOs) in Kenya

Susan Jepkorir Mursoi · Willy Muturi · James Ndegwa

International Journal of Research in Business and Social Science · 2021

Read abstract

The widespread failure of DT SACCOs in Kenya is likely to lead to a loss of confidence among the current and potential members of the DT SACCOs in Kenya and eventually threatens to kill the sector. The study examined the effect of related party transactions on financial distress in DT-SACCOs in Kenya; the study adopted the following theories as to the basis of analyzing the collected data; wrecker’s financial distress theories and Agency theory. The target population was 176 Deposit-Taking SACCOs. Secondary data was obtained from SACCOs records as published by SASRA. The study used a systematic sampling technique based on the sampling formula by Taro Yamane (1967) to obtain the appropriate sample size of 68 DT SACCOs. Data were analyzed using STATA computer software. Data collection covered seven (7) year period from 2008 -2014, this period of 7 years was selected for the study because SASRA has enacted in 2010 therefore the justification for the choice of the study period, that is 3 years before and 4 years after SASRA enactment. The study established that related party transactions had a significant effect on financial distress in DT SACCOs in Kenya. The implications of the findings are that if the DT-SACCOs do not manage related party transactions then they will continue experiencing financial distress. The government through SASRA therefore should enact strict regulations in directors borrowing from SACCOs. The study has expounded on the body of knowledge on measures of financial distress in finance by introducing new relationships established. In terms of the contribution of the current study to innovation, the study used panel data analysis while other studies used OLS.

DOI 10.20525/ijrbs.v10i1.10061 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 19:56 UTC · ijfbscomplete · ijfbs · 20 Oct 2026 19:55 UTC
openalex-enrichment21 Oct 2026 07:23 UTC · ijrbscomplete · ijrbs · 21 Oct 2026 07:22 UTC
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