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% · 2/2 recordsLast OpenAlex observation 22 Oct 2026, 01:51 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS22/2 with known counts
OPENALEX CITATIONS72/2 with known counts
OPENALEX MEAN3.5Per article with a known count
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country: United States Remove ×topic: Innovation and Knowledge Management 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

Alliant University2United States International University Africa12/2 records with data

Countries

United States2Kenya12/2 records with data

Primary topics

Innovation and Knowledge Management22/2 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.

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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.

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Annual history: 2/2 articles. Latest history observation: 2026-10-22T01:51:33.216318+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

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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

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 CITATIONS2
CROSSREF · CITED PUBLICATIONS50.0%
CROSSREF · MEAN CITATIONS1.0

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 CITATIONS7
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY3.52 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY3.5

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 01:51 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–506–20121+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): 2026-10-21T07:22:56.412730+00:00 — 2026-10-22T01:51:33.216318+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 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: 2 · 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: 2 · Annual history coverage 2/22025 · All selected publications · OpenAlex · Citations received by year: 3 · 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 publications222/2
2022All selected publications022/2
2023All selected publications022/2
2024All selected publications222/2
2025All selected publications322/2
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.

Mean1.0
Median1.0
No citations11–516–20021+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 Research in Business and Social Science
SSBFNET
2272/21.01.050.02/2 · 100.0%

* Percentage among publications with a known citation count.

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View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

Technological innovation and competitive advantage in telecommunication companies in Kenya

Peter C Mugo · Jimmy Macharia

International Journal of Research in Business and Social Science · 2020

Read abstract

Previous studies have established that the telecommunications industry in Kenya is characterized by decreasing voice revenues, many regulations, technological progress and varying consumer needs. This phenomenon has resulted in industry companies developing sound innovation strategies to make sure they form a competitive advantage over their rivals with the aim of ensuring their survival and growth in the evermore cut-throat marketplace. Nevertheless, in spite of the essential part played by these innovation strategies to safeguard competitive advantage, several companies have failed to translate the plans into reality. Therefore, the major objective of this study was to investigate the influence of technological innovation on the competitive advantage of telecommunication companies in Kenya. Technological innovation was measured by expansion of Global System for Mobile Communications (GSM) networks; new equipment and software; and partnerships and synergies. To satisfy the objective of this paper, a positivist philosophical stance was adopted and research design using cross-sectional survey data used. Data was collected using proportionate sampling from 247 managers. The results indicate that technological innovation improves the competitive advantage of telecommunication companies in Kenya. However, with government regulation as a moderating variable, only the new equipment, and software constructs had a positive and significant influence on the dependent variable. Ultimately, the findings suggest that government regulation moderates the influence of technological innovation on the competitive advantage of telecommunication companies in Kenya.

DOI 10.20525/ijrbs.v9i5.8662 Crossref citations7 OpenAlex citations
JOURNAL ARTICLE

Influence of valuable resources in performance of SMEs in Nairobi County

Roselyn Mwaura · Maina Muchara · Maureen Kangu

International Journal of Research in Business and Social Science · 2024

Read abstract

Abstract Resources and capabilities in SMEs are only advantageous when the SMEs have the potential to execute the right strategies and processes. SMEs must analyze their business environments and understand the resources available to operate efficiently and effectively and achieve a sustained performance. This study is the subject of the influence of valuable resources on performance of SMEs. This study used a cross-sectional survey design. The target population for this study comprised of 121, 680 SMEs. The research used stratified random sampling technique. The  sample size of this study was 399 SMEs. A structured questionnaire was used to collect data. Findings showed that there was a positive significant correlation between valuable resource and SMEs performance (r=.270; p<.01). According to the linear regression analysis valuable resources account for 7.3% of SMEs performance. According to the regression coefficients, one-unit increase in valuable resources improved SMEs performance by 0.269 units (? = 0.269). The t-statistics results showed that t = 4.778, p<0.05. Therefore, there was enough evidence to reject the null hypothesis and conclude that valuable resources have a statistically significant influence on SMEs Performance. The study concluded that valuable resource has a significant relationship with SMEs Performance. Valuable resources have a statistically significant influence on SMEs Performance. Increasing valuable resources in an SMEs will help the enterprise register higher performance. Key Words: Organizational Resources, Valuable Resources, Performance

DOI 10.20525/ijrbs.v13i5.35360 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Influence of valuable resources in performance of SMEs in Nairobi County

Roselyn Mwaura · Maina Muchara · Maureen Kangu

International Journal of Research in Business and Social Science · 2024

Read abstract

Abstract Resources and capabilities in SMEs are only advantageous when the SMEs have the potential to execute the right strategies and processes. SMEs must analyze their business environments and understand the resources available to operate efficiently and effectively and achieve a sustained performance. This study is the subject of the influence of valuable resources on performance of SMEs. This study used a cross-sectional survey design. The target population for this study comprised of 121, 680 SMEs. The research used stratified random sampling technique. The  sample size of this study was 399 SMEs. A structured questionnaire was used to collect data. Findings showed that there was a positive significant correlation between valuable resource and SMEs performance (r=.270; p<.01). According to the linear regression analysis valuable resources account for 7.3% of SMEs performance. According to the regression coefficients, one-unit increase in valuable resources improved SMEs performance by 0.269 units (? = 0.269). The t-statistics results showed that t = 4.778, p<0.05. Therefore, there was enough evidence to reject the null hypothesis and conclude that valuable resources have a statistically significant influence on SMEs Performance. The study concluded that valuable resource has a significant relationship with SMEs Performance. Valuable resources have a statistically significant influence on SMEs Performance. Increasing valuable resources in an SMEs will help the enterprise register higher performance. Key Words: Organizational Resources, Valuable Resources, Performance

DOI 10.20525/ijrbs.v13i5.35360 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Technological innovation and competitive advantage in telecommunication companies in Kenya

Peter C Mugo · Jimmy Macharia

International Journal of Research in Business and Social Science · 2020

Read abstract

Previous studies have established that the telecommunications industry in Kenya is characterized by decreasing voice revenues, many regulations, technological progress and varying consumer needs. This phenomenon has resulted in industry companies developing sound innovation strategies to make sure they form a competitive advantage over their rivals with the aim of ensuring their survival and growth in the evermore cut-throat marketplace. Nevertheless, in spite of the essential part played by these innovation strategies to safeguard competitive advantage, several companies have failed to translate the plans into reality. Therefore, the major objective of this study was to investigate the influence of technological innovation on the competitive advantage of telecommunication companies in Kenya. Technological innovation was measured by expansion of Global System for Mobile Communications (GSM) networks; new equipment and software; and partnerships and synergies. To satisfy the objective of this paper, a positivist philosophical stance was adopted and research design using cross-sectional survey data used. Data was collected using proportionate sampling from 247 managers. The results indicate that technological innovation improves the competitive advantage of telecommunication companies in Kenya. However, with government regulation as a moderating variable, only the new equipment, and software constructs had a positive and significant influence on the dependent variable. Ultimately, the findings suggest that government regulation moderates the influence of technological innovation on the competitive advantage of telecommunication companies in Kenya.

DOI 10.20525/ijrbs.v9i5.8662 Crossref citations7 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
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