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, 07:34 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS23/3 with known counts
OPENALEX CITATIONS73/3 with known counts
OPENALEX MEAN2.33Per article with a known count
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country: Kenya Remove ×topic: Financial Markets and Investment Strategies 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

Kenyatta University2Karatina University1The Co-operative University of Kenya13/3 records with data

Countries

Kenya33/3 records with data

Primary topics

Financial Markets and Investment Strategies33/3 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.

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: 3/3 articles. Latest history observation: 2026-10-22T07:34:31.596138+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
3 MATCHING PUBLICATIONSExplore results →Export CSV ↓
INDEXED PUBLICATIONS3
CROSSREF CITATIONS2
CROSSREF · CITED PUBLICATIONS33.3%
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 CITATIONS7
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY2.333 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3

Observation range: 22 Oct 2026 01:25 UTC — 22 Oct 2026 07:34 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–536–20021+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): 2026-10-22T01:25:11.116871+00:00 — 2026-10-22T07:34:31.596138+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: 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: 3 · Annual history coverage 3/32024 · All selected publications · OpenAlex · Citations received by year: 2 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 1 · Annual history coverage 3/32026 · All selected publications · OpenAlex · Citations received by year: 0 · 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 publications033/3
2022All selected publications033/3
2023All selected publications333/3
2024All selected publications233/3
2025All selected publications133/3
2026All selected publications033/3

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
Median0
No citations21–516–20021+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
2262/21.01.050.02/2 · 100.0%
International Journal of Research in Business and Social Science
SSBFNET
1011/10.000.01/1 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Equity Unit Trust Funds Flow and Stock Market Returns

Caroline Michere Ndei · Stephen Muchina · Kennedy Waweru

International Journal of Finance & Banking Studies · 2019

Read abstract

This study sought to evaluate the relationship between equity unit trust fund flows measured as purchases and sales and the Nairobi Securities Exchange (NSE) stock market return. The study employed Vector Autoregressive model and tested for Granger causality using monthly data for the period starting January 2010 to December 2017. The granger causality results showed that equity fund sales contain information that can explain stock market return and stock market return contain information that can explain equity fund purchases thus unidirectional causality. Impulse response results showed that equity fund purchases have a predominantly positive relationship with NSE stock market return and NSE stock market return have a positive relationship with equity fund purchases. This implies that an increase in stock market return will lead equity fund managers to purchase more securities and as the equity fund purchases increase, the demand for those stocks will increase causing the stock prices to increase and consequently increase stock market return. In contrast, equity fund sales are predominantly negatively related with stock market return and stock market return is also negatively related to equity funds sales. As the stock market return increase, the equity fund managers will decrease their sales. As the sales increase, the supply for those stocks will increase causing a decrease in prices and consequently a decrease in stock market return. Equity fund sales explain the variation in stock market return more than equity fund purchases while stock market return is a determinant of equity fund purchases and equity fund sales.

DOI 10.20525/ijfbs.v8i1.2632 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Equity Investments, Bond Investments and Financial Performance of Collective Investment Schemes in Kenya

Jacinta Nzilani Muema · Job Omagwa · Lucy Wamugo

International Journal of Finance & Banking Studies · 2021

Read abstract

The collective investment schemes in Kenya have witnessed increased volatility in their earnings, resulting in irregular growth in the industry. This necessitates the need to understand the factors contributing to poor financial returns from collective investment schemes. Hence this study sought to investigate the effect of equity investments and bond investments on Kenyan CIS’s performance. The specific objectives were: To assess the effect of equity investments, bond investments on financial performance of collective investment schemes in Kenya. The study was anchored on: modern portfolio theory and the efficient market hypothesis. The positivism philosophy was applied, with the firms adopting an explanatory research design. The target population was 17 Collective Investment Schemes registered by the Capital Markets Authority and were operational in the period 2010 to 2018.  Secondary data was sought from the Capital Markets Authority Annual reports and from the respective websites of the CIS’. Data was analyzed using descriptive statistics, correlational analysis and panel regression analysis. Hypotheses were tested at a significance level of 0.05. Findings indicate that equity investment, bond investments have an insignificant effect on CIS’ return on assets. Further, equity investments had a positive and significant effect on liquidity whereas bond investments had an insignificant effect on liquidity. The study recommends that CISs actively revise their equity investments and bond investments to stimulate financial returns.

DOI 10.20525/ijfbs.v10i3.13520 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Systematic risk and performance of stock market in Kenya

Nathan Mwenda Mutwiri · Job Omagwa · Lucy Wamugo

International Journal of Research in Business and Social Science · 2021

Read abstract

Stock prices in Kenya have been experiencing drastic volatility over the years. In the year 2015 alone, the value of the listed companies shrunk by about 2.5 billion USD, representing about 25% of the national government annual budget. The performance of the stock market is an important proxy of a country’s economic environment. Rational investors constantly value and revise their portfolio composition so as to maximize their wealth. Whereas effectively diversified portfolio minimizes the unsystematic risk, systematic risks cannot be managed by simple diversification. Investors, therefore, need to understand the effect of these systematic risks on the stock performance. The study sought to determine the relationship between systematic risk factors using Inflation and interest rates and the performance of the stock market in Kenya. The study adopted a positivist philosophy and employed a correlation research design. The study targeted all the stock listed in the Nairobi Securities exchange. The study was underpinned by the Efficient Market Hypothesis, Arbitrage Pricing theory, and used integration analysis to establish the relationships between the variables of the study. The study found a significant long-run positive relationship between interest rate, inflation, and performance of the stock market in Kenya. Investment firms, the financial analyst should use past data on 91 Treasury bills rate and Inflation, to predict the future performance of stock exchange for the benefit of investors.  

DOI 10.20525/ijrbs.v10i4.11800 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

Equity Investments, Bond Investments and Financial Performance of Collective Investment Schemes in Kenya

Jacinta Nzilani Muema · Job Omagwa · Lucy Wamugo

International Journal of Finance & Banking Studies · 2021

Read abstract

The collective investment schemes in Kenya have witnessed increased volatility in their earnings, resulting in irregular growth in the industry. This necessitates the need to understand the factors contributing to poor financial returns from collective investment schemes. Hence this study sought to investigate the effect of equity investments and bond investments on Kenyan CIS’s performance. The specific objectives were: To assess the effect of equity investments, bond investments on financial performance of collective investment schemes in Kenya. The study was anchored on: modern portfolio theory and the efficient market hypothesis. The positivism philosophy was applied, with the firms adopting an explanatory research design. The target population was 17 Collective Investment Schemes registered by the Capital Markets Authority and were operational in the period 2010 to 2018.  Secondary data was sought from the Capital Markets Authority Annual reports and from the respective websites of the CIS’. Data was analyzed using descriptive statistics, correlational analysis and panel regression analysis. Hypotheses were tested at a significance level of 0.05. Findings indicate that equity investment, bond investments have an insignificant effect on CIS’ return on assets. Further, equity investments had a positive and significant effect on liquidity whereas bond investments had an insignificant effect on liquidity. The study recommends that CISs actively revise their equity investments and bond investments to stimulate financial returns.

DOI 10.20525/ijfbs.v10i3.13520 Crossref citations3 OpenAlex citations
JOURNAL ARTICLE

Systematic risk and performance of stock market in Kenya

Nathan Mwenda Mutwiri · Job Omagwa · Lucy Wamugo

International Journal of Research in Business and Social Science · 2021

Read abstract

Stock prices in Kenya have been experiencing drastic volatility over the years. In the year 2015 alone, the value of the listed companies shrunk by about 2.5 billion USD, representing about 25% of the national government annual budget. The performance of the stock market is an important proxy of a country’s economic environment. Rational investors constantly value and revise their portfolio composition so as to maximize their wealth. Whereas effectively diversified portfolio minimizes the unsystematic risk, systematic risks cannot be managed by simple diversification. Investors, therefore, need to understand the effect of these systematic risks on the stock performance. The study sought to determine the relationship between systematic risk factors using Inflation and interest rates and the performance of the stock market in Kenya. The study adopted a positivist philosophy and employed a correlation research design. The study targeted all the stock listed in the Nairobi Securities exchange. The study was underpinned by the Efficient Market Hypothesis, Arbitrage Pricing theory, and used integration analysis to establish the relationships between the variables of the study. The study found a significant long-run positive relationship between interest rate, inflation, and performance of the stock market in Kenya. Investment firms, the financial analyst should use past data on 91 Treasury bills rate and Inflation, to predict the future performance of stock exchange for the benefit of investors.  

DOI 10.20525/ijrbs.v10i4.11800 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Equity Unit Trust Funds Flow and Stock Market Returns

Caroline Michere Ndei · Stephen Muchina · Kennedy Waweru

International Journal of Finance & Banking Studies · 2019

Read abstract

This study sought to evaluate the relationship between equity unit trust fund flows measured as purchases and sales and the Nairobi Securities Exchange (NSE) stock market return. The study employed Vector Autoregressive model and tested for Granger causality using monthly data for the period starting January 2010 to December 2017. The granger causality results showed that equity fund sales contain information that can explain stock market return and stock market return contain information that can explain equity fund purchases thus unidirectional causality. Impulse response results showed that equity fund purchases have a predominantly positive relationship with NSE stock market return and NSE stock market return have a positive relationship with equity fund purchases. This implies that an increase in stock market return will lead equity fund managers to purchase more securities and as the equity fund purchases increase, the demand for those stocks will increase causing the stock prices to increase and consequently increase stock market return. In contrast, equity fund sales are predominantly negatively related with stock market return and stock market return is also negatively related to equity funds sales. As the stock market return increase, the equity fund managers will decrease their sales. As the sales increase, the supply for those stocks will increase causing a decrease in prices and consequently a decrease in stock market return. Equity fund sales explain the variation in stock market return more than equity fund purchases while stock market return is a determinant of equity fund purchases and equity fund sales.

DOI 10.20525/ijfbs.v8i1.2632 Crossref citations3 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 →