Publication activity
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
Research across participating journals · All insights follow your collection filters.
Publication activity alongside incoming citations.
Articles grouped by publication year
Hover over a year or focus the chart and use arrow keys to inspect values.
2026 is year to date. 0 undated publications excluded.
OpenAlex · year of the citing work
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.
Leading affiliations and themes in this collection.
Full distributions & methodology ↓Independent sources. Clear time scales.
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.
OpenAlex · incoming citation links grouped by citing-work year
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.
Select journals to compare the same collection filters. Source totals stay separate. These measures describe research activity, not journal quality.
Articles by publication year
Latest lifetime totals · grouped by publication year
Latest lifetime totals · grouped by publication year
By year of the citing work · 2017–2026
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.
Crossref citation coverage: 2 / 2 publications (100.0%). Latest observation: 21 Oct 2026, 07:22 UTC. Means and percentages use records with known counts.
DOI-matched OpenAlex observations for the same selected publications. These counts are separate from Crossref and are never added together.
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 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.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
2 / 2 with data · 0 missing or unmatched. Percentages use all 2 selected publications.
Citations are the latest recorded totals for articles published in each year, not citations received during that year. Crossref and OpenAlex remain separate and share the same citation scale. 2026 is incomplete; newer articles have had less time to receive citations.
0 undated publications excluded. Unknown citation counts are shown as —, never as zero. Partial coverage can understate totals; expand each table for known / total records.
| Publication year | Journal / scope | Publications | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 1 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 2 | 2 | 2/2 | 2/2 |
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.
| Citation year | Journal / scope | OpenAlex · Citations received by year | Publications | Annual history known |
|---|---|---|---|---|
| 2017 | All selected publications | 0 | 2 | 2/2 |
| 2018 | All selected publications | 0 | 2 | 2/2 |
| 2019 | All selected publications | 0 | 2 | 2/2 |
| 2020 | All selected publications | 0 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 2 | 2 | 2/2 |
| 2023 | All selected publications | 0 | 2 | 2/2 |
| 2024 | All selected publications | 0 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 |
| 2026 | All selected publications | 0 | 2 | 2/2 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2019 | 2 |
Latest Crossref totals for the selected publications; not citations received in the selected years.
Unknown counts are excluded from the mean, median and cited-publication rate.
Same filters, source and counting rules across journals. Descriptive statistics, not a quality ranking.
| Journal / publisher | Publications | Crossref citations | OpenAlex citations | OpenAlex coverage | Crossref mean | Crossref median | Crossref cited %* | Crossref coverage |
|---|---|---|---|---|---|---|---|---|
| International Journal of Research in Business and Social Science SSBFNET | 2 | 1 | 2 | 2/2 | 0.5 | 0.5 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
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.
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.
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.
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.
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
| Source | Most recent successful journal sync | Latest attempt |
|---|---|---|
| crossref | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |
| ojs-rest | 21 Oct 2026 07:22 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 06:46 UTC |
| oai-pmh | 20 Oct 2026 19:55 UTC · ijrbs | complete · ijrbs · 20 Oct 2026 19:50 UTC |
| openalex-enrichment | 21 Oct 2026 07:23 UTC · ijrbs | complete · ijrbs · 21 Oct 2026 07:22 UTC |