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, 01:43 UTC
PUBLICATIONS3In the selected collection
CROSSREF CITATIONS33/3 with known counts
OPENALEX CITATIONS93/3 with known counts
OPENALEX MEAN3.0Per article with a known count
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institution: Kenyatta University Remove ×topic: Construction Project Management and Performance 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 University33/3 records with data

Countries

Kenya33/3 records with data

Primary topics

Construction Project Management and Performance33/3 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: 2026-10-22T01:43:48.912600+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.

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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

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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
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 CITATIONS9
DOI MATCH COVERAGE100.0%3 / 3 publications
MEAN · KNOWN COUNTS ONLY3.03 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY2

Observation range: 21 Oct 2026 07:22 UTC — 22 Oct 2026 01:43 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations01–526–20121+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

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): 2026-10-21T07:22:49.821730+00:00 — 2026-10-22T01:43:48.912600+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: 1 · 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: 3 · Annual history coverage 3/32025 · All selected publications · OpenAlex · Citations received by year: 2 · 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 publications033/3
2021All selected publications033/3
2022All selected publications133/3
2023All selected publications333/3
2024All selected publications333/3
2025All selected publications233/3
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.

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
3393/31.0166.73/3 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 3 →

Most cited · Crossref

JOURNAL ARTICLE

Sustainable project risk and stakeholder management for pension funds projects performance in Kenya

Olive Gitau · Paul Sang

International Journal of Research in Business and Social Science · 2022

Read abstract

This paper aims to evaluate the sustainable project risk and stakeholder management for pension funds projects’ performance in Kenya. This paper highlights that current project management practices of Kenyan Pension Funds do not always ensure project success that secures desired market returns on these investments. The main problem with projects management practices being mentioned as planning, project implementation, cost and time overruns and quality achievement. As the pension schemes are also expected to continue to invest in alternative assets given the broadening of the allowable investment categories and to take advantage of the public infrastructural projects under the big four agenda (RBA, 2021), it becomes paramount to identify and implement sustainable project management practices for performance of the pension funds projects. The outcome of this paper showed that integration of risk management and stakeholder management practice was one of the key project management practices that would contribute towards pension funds projects' performance.

DOI 10.20525/ijrbs.v11i1.15352 Crossref citations6 OpenAlex citations
JOURNAL ARTICLE

Critical success factors and performance of completed construction projects at National Social Security Fund, Nairobi City County, Kenya

Inviolata Khisa · Morrisson Kaunda Mutuku

International Journal of Research in Business and Social Science · 2023

Read abstract

This paper aims to examine the effect of selected factors that link to completion of NSSF construction projects and how they are influenced by the various critical factors. The main objective was to establish the critical success factors and their effects on performance of construction projects. Four theories namely Game theory, Principal-Agent theory, Construction Management, and Soft Value Management (SVM) theory served as the foundation for this research.  Descriptive research design was employed for data collection, analysis, presentation and interpretation.The target population was 512 stakeholders from six complete commercial and residential projects. Purposive sampling was used to select 84 participants for the study. Semi-structured questionnaires were used in the study to collect data. The data was analyzed using SPSS whereby descriptive and inferential statistics were used. The results show that the R-square value was 0.282 and R was 0.531. An analysis of variance (ANOVA) was significant at p=0.001 with an F statistic of 9.961 indicating that the model used was fit for the data. The data also revealed that client variations (p= 0.05), financial availability (p = 0.047), and construction disputes (p = 0.001) are statistically significant determinants affecting the performance of NSSF construction projects. The main findings of the study demonstrate that the key critical success factors used in this study affected the performance of NSSF-completed construction projects either positively or negatively. The study recommends that companies should adhere to the principles that safeguard project management to adequately manage the critical factors and ultimately minimize project delays.

DOI 10.20525/ijrbs.v12i5.26581 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Financial resource scheduling and road construction projects performance in Nairobi Metropolitan, Kenya

Karuga Rwamba · Morrisson Mutuku · Paul Sang

International Journal of Research in Business and Social Science · 2024

Read abstract

Kenya has seen a boom in road building during the last couple of years as a result of the government's significant investments in the construction industry to upgrade infrastructure, such as road networks. Road network construction is one of the key pillar of the country long term vision 2030. However, the performance of the road projects has experienced various challenges leaving some roads uncompleted, others poorly done after huge investment of public resources. This study sought to evaluate the influence of financial resources scheduling on the performance of road construction projects in Nairobi Metropolitan, Kenya. The research was based on resource dependence theory. A descriptive design as well as the cross-sectional survey was used. The population of interest for this study consisted of 39 road construction projects being implemented by Kenya Urban Roads Authority and Kenya National Highway Authority within the Nairobi metropolitan area. A semi structured questionnaire was utilized to collect primary data. The quantitative data was analyzed using descriptive and inferential statistics. The study results revealed projects resource scheduling had a positive and significant effect on project performance of road construction projects in Nairobi Metropolitan, Kenya. The study concludes that effective financial resource scheduling enables that organization to manage risk that may occur from changes in the project’s outcome. Financial resource scheduling starts from developing the project budget which is a process for allocating administered and departmental funds necessary to build a financial foundation for producing stated project deliverables.

DOI 10.20525/ijrbs.v13i4.33450 Crossref citations1 OpenAlex citations

Selected results

JOURNAL ARTICLE

Financial resource scheduling and road construction projects performance in Nairobi Metropolitan, Kenya

Karuga Rwamba · Morrisson Mutuku · Paul Sang

International Journal of Research in Business and Social Science · 2024

Read abstract

Kenya has seen a boom in road building during the last couple of years as a result of the government's significant investments in the construction industry to upgrade infrastructure, such as road networks. Road network construction is one of the key pillar of the country long term vision 2030. However, the performance of the road projects has experienced various challenges leaving some roads uncompleted, others poorly done after huge investment of public resources. This study sought to evaluate the influence of financial resources scheduling on the performance of road construction projects in Nairobi Metropolitan, Kenya. The research was based on resource dependence theory. A descriptive design as well as the cross-sectional survey was used. The population of interest for this study consisted of 39 road construction projects being implemented by Kenya Urban Roads Authority and Kenya National Highway Authority within the Nairobi metropolitan area. A semi structured questionnaire was utilized to collect primary data. The quantitative data was analyzed using descriptive and inferential statistics. The study results revealed projects resource scheduling had a positive and significant effect on project performance of road construction projects in Nairobi Metropolitan, Kenya. The study concludes that effective financial resource scheduling enables that organization to manage risk that may occur from changes in the project’s outcome. Financial resource scheduling starts from developing the project budget which is a process for allocating administered and departmental funds necessary to build a financial foundation for producing stated project deliverables.

DOI 10.20525/ijrbs.v13i4.33450 Crossref citations1 OpenAlex citations
JOURNAL ARTICLE

Critical success factors and performance of completed construction projects at National Social Security Fund, Nairobi City County, Kenya

Inviolata Khisa · Morrisson Kaunda Mutuku

International Journal of Research in Business and Social Science · 2023

Read abstract

This paper aims to examine the effect of selected factors that link to completion of NSSF construction projects and how they are influenced by the various critical factors. The main objective was to establish the critical success factors and their effects on performance of construction projects. Four theories namely Game theory, Principal-Agent theory, Construction Management, and Soft Value Management (SVM) theory served as the foundation for this research.  Descriptive research design was employed for data collection, analysis, presentation and interpretation.The target population was 512 stakeholders from six complete commercial and residential projects. Purposive sampling was used to select 84 participants for the study. Semi-structured questionnaires were used in the study to collect data. The data was analyzed using SPSS whereby descriptive and inferential statistics were used. The results show that the R-square value was 0.282 and R was 0.531. An analysis of variance (ANOVA) was significant at p=0.001 with an F statistic of 9.961 indicating that the model used was fit for the data. The data also revealed that client variations (p= 0.05), financial availability (p = 0.047), and construction disputes (p = 0.001) are statistically significant determinants affecting the performance of NSSF construction projects. The main findings of the study demonstrate that the key critical success factors used in this study affected the performance of NSSF-completed construction projects either positively or negatively. The study recommends that companies should adhere to the principles that safeguard project management to adequately manage the critical factors and ultimately minimize project delays.

DOI 10.20525/ijrbs.v12i5.26581 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Sustainable project risk and stakeholder management for pension funds projects performance in Kenya

Olive Gitau · Paul Sang

International Journal of Research in Business and Social Science · 2022

Read abstract

This paper aims to evaluate the sustainable project risk and stakeholder management for pension funds projects’ performance in Kenya. This paper highlights that current project management practices of Kenyan Pension Funds do not always ensure project success that secures desired market returns on these investments. The main problem with projects management practices being mentioned as planning, project implementation, cost and time overruns and quality achievement. As the pension schemes are also expected to continue to invest in alternative assets given the broadening of the allowable investment categories and to take advantage of the public infrastructural projects under the big four agenda (RBA, 2021), it becomes paramount to identify and implement sustainable project management practices for performance of the pension funds projects. The outcome of this paper showed that integration of risk management and stakeholder management practice was one of the key project management practices that would contribute towards pension funds projects' performance.

DOI 10.20525/ijrbs.v11i1.15352 Crossref citations6 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 →