CiteNScope — Scholarly Index & Analytics
Discover / Analytics RESEARCH INTELLIGENCE
CiteNScope / Analytics

Explore the evidence.
Understand the reach.

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

Compare journals ↗
OpenAlex coverage 100.0% · 2/2 recordsLast OpenAlex observation 22 Oct 2026, 01:56 UTC
PUBLICATIONS2In the selected collection
CROSSREF CITATIONS12/2 with known counts
OPENALEX CITATIONS22/2 with known counts
OPENALEX MEAN1.0Per article with a known count
Explore articles 2 →
Filter collection Publication years, search & more
Reset
topic: Healthcare Systems and Reforms Remove ×
Your research collection

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.

View data & coverage

Research landscape

Leading affiliations and themes in this collection.

Full distributions & methodology ↓

Institutions

United States International University Africa2Africa International University12/2 records with data

Countries

Kenya22/2 records with data

Primary topics

Healthcare Systems and Reforms22/2 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: 2026-10-22T01:56:56.891309+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

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 CITATIONS1
CROSSREF · CITED PUBLICATIONS50.0%
CROSSREF · MEAN CITATIONS0.5

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 CITATIONS2
DOI MATCH COVERAGE100.0%2 / 2 publications
MEAN · KNOWN COUNTS ONLY1.02 known · 0 unknown
MEDIAN · KNOWN COUNTS ONLY1.0

Observation range: 22 Oct 2026 01:09 UTC — 22 Oct 2026 01:56 UTC. Missing matches are not zero citations. Previous observations may remain if a refresh fails or a DOI no longer matches.

OpenAlex citation distributionNo citations11–516–20021+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): 2026-10-22T01:09:32.514036+00:00 — 2026-10-22T01:56:56.891309+00:00. Older observations may be retained after failed or incomplete refreshes.

OpenAlex · Citations received by year

21.00 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: 2 · 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 publications222/2
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.

Mean0.5
Median0.5
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
2122/20.50.550.02/2 · 100.0%

* Percentage among publications with a known citation count.

Explore publications

View all 2 →

Most cited · Crossref

JOURNAL ARTICLE

Health providers’ perspective of effect of copayment on delivery of effective health service under capitation in Kenya

Priscilla Nduku Wangai · Amos Njuguna · Joseph Ngugi

International Journal of Research in Business and Social Science · 2019

Read abstract

Co-payment is an out-of-pocket payment collected by the service provider from members capitated by a health scheme for the purpose of gatekeeping against the misuse of the services. This paper documents an assessment of the effect of copayment on the effectiveness of health services delivered under the capitation scheme in Kenya. The unit of analysis was the 1152 health facilities capitated by the National Hospital Insurance Fund to provide outpatient primary healthcare in Kenya as of July 2015. logit regression was used to analyze the data collected from a sample of 297 capitated health facilities. The Effectiveness of the delivery of health services was evaluated using three metrics; quality, accessibility, and affordability. The regression model for each of the metrics was constructed in order to examine the effect of copayment on the delivery of services. The results revealed that an increment of one unit on copayment increased the index of delivery of quality, accessible and affordable health services by .073, 4.349 and 79.4 respectively. The optimal amount of copayment is determined from the models using theories of calculus.

DOI 10.20525/ijrbs.v8i5.4601 Crossref citations2 OpenAlex citations
JOURNAL ARTICLE

Analysis of health seeking behaviour on effective delivery of health services under capitation scheme in Kenya

Priscilla Nduku Wangai · Amos Njuguna · Joseph Ngugi

International Journal of Research in Business and Social Science · 2019

Read abstract

Under capitation health scheme, a member freely selects a health facility from which to seek health services. There is no restriction of the number of times a member seeks health services from the facility within the contract period. This has affected delivery of health service under capitation contracting. This paper documents a quantitative analysis of the effect of health seeking behaviour on effective delivery of health services. Since human behaviour is assumed to be a natural phenomena, a philosophical view of positivism w?s ?dopted in this research. Accordingly, a scientific approach was used to deduce the influence of health seeking behaviour on the metrics of effectiveness. Out of 1152 health facilities accredited to offer primary healthcare in Kenya, data was collected from a sample of 297 health units using closed ended questionnaires. Logit regression analysis on the data revealed that congestion in out-patient department had a negative effect on quality of health services delivered but a positive effect on accessibility and affordability of the services. Increased frequency of consultation had a negative effect on all the three measures of effectiveness; quality, accessibility and affordability of health service delivery. Corresponding odds ratios were 0.173, 1.105 and 1.295 respectively.

DOI 10.20525/ijrbs.v8i6.5020 Crossref citations0 OpenAlex citations

Selected results

JOURNAL ARTICLE

Analysis of health seeking behaviour on effective delivery of health services under capitation scheme in Kenya

Priscilla Nduku Wangai · Amos Njuguna · Joseph Ngugi

International Journal of Research in Business and Social Science · 2019

Read abstract

Under capitation health scheme, a member freely selects a health facility from which to seek health services. There is no restriction of the number of times a member seeks health services from the facility within the contract period. This has affected delivery of health service under capitation contracting. This paper documents a quantitative analysis of the effect of health seeking behaviour on effective delivery of health services. Since human behaviour is assumed to be a natural phenomena, a philosophical view of positivism w?s ?dopted in this research. Accordingly, a scientific approach was used to deduce the influence of health seeking behaviour on the metrics of effectiveness. Out of 1152 health facilities accredited to offer primary healthcare in Kenya, data was collected from a sample of 297 health units using closed ended questionnaires. Logit regression analysis on the data revealed that congestion in out-patient department had a negative effect on quality of health services delivered but a positive effect on accessibility and affordability of the services. Increased frequency of consultation had a negative effect on all the three measures of effectiveness; quality, accessibility and affordability of health service delivery. Corresponding odds ratios were 0.173, 1.105 and 1.295 respectively.

DOI 10.20525/ijrbs.v8i6.5020 Crossref citations0 OpenAlex citations
JOURNAL ARTICLE

Health providers’ perspective of effect of copayment on delivery of effective health service under capitation in Kenya

Priscilla Nduku Wangai · Amos Njuguna · Joseph Ngugi

International Journal of Research in Business and Social Science · 2019

Read abstract

Co-payment is an out-of-pocket payment collected by the service provider from members capitated by a health scheme for the purpose of gatekeeping against the misuse of the services. This paper documents an assessment of the effect of copayment on the effectiveness of health services delivered under the capitation scheme in Kenya. The unit of analysis was the 1152 health facilities capitated by the National Hospital Insurance Fund to provide outpatient primary healthcare in Kenya as of July 2015. logit regression was used to analyze the data collected from a sample of 297 capitated health facilities. The Effectiveness of the delivery of health services was evaluated using three metrics; quality, accessibility, and affordability. The regression model for each of the metrics was constructed in order to examine the effect of copayment on the delivery of services. The results revealed that an increment of one unit on copayment increased the index of delivery of quality, accessible and affordable health services by .073, 4.349 and 79.4 respectively. The optimal amount of copayment is determined from the models using theories of calculus.

DOI 10.20525/ijrbs.v8i5.4601 Crossref citations2 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 →