CiteNScope — Scholarly Index & Analytics
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CiteNScope / Analytics

Explore the evidence.
Understand the reach.

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

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OpenAlex coverage 100.0% · 2/2 recordsLast OpenAlex observation 22 Oct 2026, 01:30 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS02/2 with known counts
OPENALEX CITATIONS02/2 with known counts
OPENALEX MEAN0.0Per article with a known count
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institution: St. Augustine University of Tanzania 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.

View data & coverage

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

St. Augustine University of Tanzania2CMR University12/2 records with data

Countries

Tanzania2India12/2 records with data

Primary topics

Microfinance and Financial Inclusion1COVID-19 Pandemic Impacts12/2 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.

View data & coverage

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: 2/2 articles. Latest history observation: 2026-10-22T01:30:06.643297+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 Finance & Banking StudiesInternational 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
2 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS2
CROSSREF CITATIONS0
CROSSREF · CITED PUBLICATIONS0.0%
CROSSREF · MEAN CITATIONS0.0

Crossref citation coverage: 2 / 2 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 CITATIONS0
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY0.02 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY0.0

Observation range: 22 Oct 2026 01:15 UTC — 22 Oct 2026 01:30 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations21–506–20021+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

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Countries

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.

Primary topics

2 / 2 with data · 0 missing or unmatched. Percentages use all 2 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 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): 2026-10-22T01:15:59.416782+00:00 — 2026-10-22T01:30:06.643297+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

10.50 2017 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22018 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22019 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22020 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22021 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22022 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22023 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22024 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22025 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/22026 · All selected publications · OpenAlex · Citations received by year: 0 · Annual history coverage 2/2 2017201820192020202120222023202420252026
View openalex · citations received by year data & coverage
Citation yearJournal / scopeOpenAlex · Citations received by yearPublicationsAnnual history known
2017All selected publications022/2
2018All selected publications022/2
2019All selected publications022/2
2020All selected publications022/2
2021All selected publications022/2
2022All selected publications022/2
2023All selected publications022/2
2024All selected publications022/2
2025All selected publications022/2
2026All selected publications022/2

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 ↗

Crossref citation distribution

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

Mean0.0
Median0.0
No citations21–506–20021+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
1001/10.000.01/1 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

Factors influencing Poverty Alleviation among Women Credit Beneficiaries in Tanzania

Samuel Nyambega Nyang'au · Valina Nyamwinuka

International Journal of Finance & Banking Studies · 2014

Read abstract

Many credit schemes in Tanzania channel their funds to women with the objective of alleviating poverty among them. Despite this, majority of women in the country continue to wallow in poverty. The present research was carried out among the Foundation for International Community Assistance’s women credit beneficiaries in Mwanza. The study set out to address the following objectives: to analyze the influence of the husband’s cooperation, relevant training and interest rate on poverty alleviation among women credit beneficiaries in Tanzania taking Foundation for International Community Assistance in Mwanza as a case study. Using simple regression model, results showed that cooperation from the husband as well as relevant training influences poverty alleviation among women credit beneficiaries in Tanzania by 56 and 36 percent respectively. But interest rate was found to have no significant influence at all. The paper recommends that seminars be conducted so that husbands can be taught the importance of cooperating with their wives. Above all giving training to women credit beneficiaries will go a long way in sharpening their business skills. Future researchers should research on laziness and complacency among women credit beneficiaries and the influence on poverty.  

DOI 10.20525/ijfbs.v3i2.1830 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Examining the association between stock return and seasonally adjusted trade in India

N. Viswa Nadham · Piyali Roy Chowdhury · Roopashree Rao

International Journal of Research in Business and Social Science · 2022

Read abstract

This paper aims to examine the association between Indian stock market return and seasonally adjusted trade for Indian Banking sector shares. The objective of the study is to measure the association between stock return and seasonally adjusted trade in the Indian stock market and recommend strategies. Due to the Covid 19 outbreak banking sector was highly affected, the Government of India also announced a moratorium on all categories of loans, banking business majorly depending on the deposit and loan creation, so the Government decision threaten the banking sector. Many private sector banks terminated temporary staff because of cut cost policies.  We divided the banking sector into three segments. Namely, Public, Private and Small Finance Banks. Utilizing daily data from February 2020 to July 2020, consisting of 2196 in numbers, we ran a panel Vector Autoregression model to analyze the association. It was found that the return of stocks is influencing the volume of trade during this period. Also, while measuring the short-run causality, it is found that the return of banking stocks specifically granger causes the volume of trade. The suggestions of the study lie in providing importance to framing policies on improving the financial health of the economy through different fiscal policies. Strategic policies are required to face post-Covid situations. The turnaround strategies to combat the effects of the pandemic are characterized by the availability of the sustainable resources of the particular sector in consideration.

DOI 10.20525/ijrbs.v10i8.14870 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Examining the association between stock return and seasonally adjusted trade in India

N. Viswa Nadham · Piyali Roy Chowdhury · Roopashree Rao

International Journal of Research in Business and Social Science · 2022

Read abstract

This paper aims to examine the association between Indian stock market return and seasonally adjusted trade for Indian Banking sector shares. The objective of the study is to measure the association between stock return and seasonally adjusted trade in the Indian stock market and recommend strategies. Due to the Covid 19 outbreak banking sector was highly affected, the Government of India also announced a moratorium on all categories of loans, banking business majorly depending on the deposit and loan creation, so the Government decision threaten the banking sector. Many private sector banks terminated temporary staff because of cut cost policies.  We divided the banking sector into three segments. Namely, Public, Private and Small Finance Banks. Utilizing daily data from February 2020 to July 2020, consisting of 2196 in numbers, we ran a panel Vector Autoregression model to analyze the association. It was found that the return of stocks is influencing the volume of trade during this period. Also, while measuring the short-run causality, it is found that the return of banking stocks specifically granger causes the volume of trade. The suggestions of the study lie in providing importance to framing policies on improving the financial health of the economy through different fiscal policies. Strategic policies are required to face post-Covid situations. The turnaround strategies to combat the effects of the pandemic are characterized by the availability of the sustainable resources of the particular sector in consideration.

DOI 10.20525/ijrbs.v10i8.14870 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Factors influencing Poverty Alleviation among Women Credit Beneficiaries in Tanzania

Samuel Nyambega Nyang'au · Valina Nyamwinuka

International Journal of Finance & Banking Studies · 2014

Read abstract

Many credit schemes in Tanzania channel their funds to women with the objective of alleviating poverty among them. Despite this, majority of women in the country continue to wallow in poverty. The present research was carried out among the Foundation for International Community Assistance’s women credit beneficiaries in Mwanza. The study set out to address the following objectives: to analyze the influence of the husband’s cooperation, relevant training and interest rate on poverty alleviation among women credit beneficiaries in Tanzania taking Foundation for International Community Assistance in Mwanza as a case study. Using simple regression model, results showed that cooperation from the husband as well as relevant training influences poverty alleviation among women credit beneficiaries in Tanzania by 56 and 36 percent respectively. But interest rate was found to have no significant influence at all. The paper recommends that seminars be conducted so that husbands can be taught the importance of cooperating with their wives. Above all giving training to women credit beneficiaries will go a long way in sharpening their business skills. Future researchers should research on laziness and complacency among women credit beneficiaries and the influence on poverty.  

DOI 10.20525/ijfbs.v3i2.1830 Crossref citations0 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
Full import history & methodology →