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: 7 / 7 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: 21 Oct 2026 07:22 UTC — 23 Oct 2026 16:21 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.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 selected publications.
7 / 7 with data · 0 missing or unmatched. Percentages use all 7 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 7 | 7 | 7/7 | 7/7 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 3 | 7 | 7/7 | 7/7 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 6 | 7 | 7/7 | 7/7 |
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 7 / 7 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): 2026-10-21T07:22:43.080591+00:00 — 2026-10-23T16:21:03.805467+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 | 7 | 7/7 |
| 2018 | All selected publications | 0 | 7 | 7/7 |
| 2019 | All selected publications | 0 | 7 | 7/7 |
| 2020 | All selected publications | 0 | 7 | 7/7 |
| 2021 | All selected publications | 0 | 7 | 7/7 |
| 2022 | All selected publications | 1 | 7 | 7/7 |
| 2023 | All selected publications | 3 | 7 | 7/7 |
| 2024 | All selected publications | 0 | 7 | 7/7 |
| 2025 | All selected publications | 1 | 7 | 7/7 |
| 2026 | All selected publications | 1 | 7 | 7/7 |
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 |
|---|---|
| 2022 | 7 |
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 | 7 | 3 | 6 | 7/7 | 0.43 | 0 | 28.6 | 7/7 · 100.0% |
* Percentage among publications with a known citation count.
The purpose of this study was to determine the relationship between the mission and Performance of Christian Faith-Based Hotels (CFBHs) in Kenya. Mission defines a significant long-term direction for the organization. There is little research that has been done on the relationship between the Mission and Performance of CFBHs in developing countries like Kenya. The objective of the study was to assess the relationship between the mission and Performance of Christian Faith-Based Hotels in Kenya. The study was guided by Denison’s organizational model and used the mixed methods approach guided by a cross-sectional survey research design. The population of this study was 1950 staff members, (72 managers and 1878 subordinate staff) from 24 Christian Faith-Based Hotels in Kenya. Stratified sampling was used where 322 subordinate staff were selected proportionate to the strata size while all the 72 managers were included in the study yielded a total of 394 respondents. Simple random sampling was used to select respondents in each stratum. Data were analyzed using descriptive and inferential statistics. The findings revealed that the dimensions of the mission had a significant influence on the performance of CFBHs in Kenya with a coefficient estimate of 0.325 and a critical ratio of 5.412 which is greater than the 1.96 Z score at a 5% level of significance. This study concluded that there is the relationship between mission and the performance of Christian Faith-Based Hotels in Kenya and recommends that more studies on Christian Faith-based Hotels be done.
The Kenyan banking sector is categorized into three tiers, tier I, II and III based on bank size. The profitability of tier II and III has been declining begging the question as to whether the size of the bank has any influence on the performance of the banks. This study determines the influence of internal equity capital on the financial performance of lower-tier commercial banks in Kenya. The study employed a descriptive and explanatory research design. The study population was 26 commercial banks in Tier II and III commercial banks in Kenya from 2016 to 2020. The average internal equity for lower-tier commercial banks in Kenya was .364 in 2016 and .400 in 2017. In 2018, the internal equity sharply rose to 8.299, which was followed by a small decline to 7.782 in 2019 signifying that in 2018 and 2019, lower-tier commercial banks in Kenya employed more internal equity financing to finance their operations. Through the hierarchical regression, it was established that internal equity has a positive and significant influence on the financial performance of lower-tier commercial banks in Kenya. Bank size does not moderate the effect of internal equity on the net profit margin of lower-tier commercial banks in Kenya (p = .202>0.05; R2 change of 0.07). The study recommends that lower-tier commercial banks need to encourage its shareholders to re-invest back their earnings rather than consuming them as dividends as internal equity is affordable and readily available when the bank is in urgent financial need.
The purpose of this study was to assess the cultural beliefs influencing access to maternal healthcare in East Pokot Pastoral Communities, Baringo County, Kenya. The study was founded on the choice-making model and the theory of access. The research methodology was directed by the descriptive survey design. The target population was 5720 women of reproductive age between 15 and 49 years and their partners, community leaders, government health facilities administrators, traditional birth attendants and community health workers from the pastoralist communities in East Pokot in Baringo County, Kenya. A stratified purposive sampling technique included stratified and purposive sampling techniques were used to sample 146 participants. Data was collected using Focus Group Discussions and in-depth interviews. Using the Nvivo software, the data were coded and tracked and the findings were presented using narratives with quotations. The study found that the cultural beliefs that the community members held at times barred the women from accessing maternal healthcare services in the East Pokot sub-county.
Although donor funding has helped to boost the education sector, questions have arisen regarding the sustainability of donor-funded schools. The objective of this study was to investigate the influence of management skills on the sustainability of donor-funded schools in Kiambaa Constituency, Kiambu County, Kenya. Resource Dependency Theory and Agency Theory guided the study. The study employed the descriptive survey design and targeted the population of 122 stakeholders of the White Cottage Schools and the Bridge International Academies comprising 100 parents, 2 managers, and 20 teachers. The systematic sampling method was used to select a sample of 50 parents and 10 teachers while both managers were included in the study sample making a sample size of 62 respondents. Quantitative data were collected from parents using questionnaires, while qualitative data was obtained from the teachers and managers using interview guides. Quantitative data were analyzed using descriptive statistics and the chi-square test, while qualitative data were analyzed using the thematic content analysis technique. Results showed that more than half of the parents believe that their children’s schools would not operate optimally without donor funds. Results further showed that the sustainability of donor-funded primary schools was significantly associated with managerial skills, including creativity, flexibility, and networking. The study concluded that managerial skills are a significant determinant of donor-funded schools' sustainability. The study recommends that school managers improve their creativity, flexibility, and networking skills.
Mental health is an important developmental aspect of any society. This study sought to assess the effect of the county legal framework on the implementation of mental health programmes in Nakuru County. The study was guided by the General Systems Theory. A descriptive survey design was used which involved a mixed-methods approach. The target population was the 80 respondents who are directly associated with the implementation of mental health programmes in Nakuru County. Due to the small population, a census procedure was utilized. Primary data was collected through the use of a questionnaire and interview guide. Quantitative data was analyzed through the SPSS software (v25). Descriptive statistics were analyzed through the use of frequencies and percentages while inferential statistics were analyzed through the Pearson Correlation and linear regression analysis and the findings were presented in form of tables. The qualitative data were analyzed thematically and presented through narratives. The study found that the county legal framework had a positive relationship with the implementation of mental health programmes in Nakuru County, Kenya (r=0.428; p=0.000). The county legal framework positively and significantly affected the implementation of mental health programmes in Nakuru County, Kenya. Also, improving the county's legal framework would have a positive impact on the implementation of mental health programmes in Nakuru County, Kenya. This study recommends that a study should be conducted on the implementation of mental health programmes focusing on the service-users of mental health services and programmes in county governments in Kenya. It is hoped that the findings of this study will increase awareness of mental health services in the county as well as help policymakers formulate effective policies and strategies on mental health programmes, services and public service delivery in Nakuru County.
Although donor funding has helped to boost the education sector, questions have arisen regarding the sustainability of donor-funded schools. The objective of this study was to investigate the influence of management skills on the sustainability of donor-funded schools in Kiambaa Constituency, Kiambu County, Kenya. Resource Dependency Theory and Agency Theory guided the study. The study employed the descriptive survey design and targeted the population of 122 stakeholders of the White Cottage Schools and the Bridge International Academies comprising 100 parents, 2 managers, and 20 teachers. The systematic sampling method was used to select a sample of 50 parents and 10 teachers while both managers were included in the study sample making a sample size of 62 respondents. Quantitative data were collected from parents using questionnaires, while qualitative data was obtained from the teachers and managers using interview guides. Quantitative data were analyzed using descriptive statistics and the chi-square test, while qualitative data were analyzed using the thematic content analysis technique. Results showed that more than half of the parents believe that their children’s schools would not operate optimally without donor funds. Results further showed that the sustainability of donor-funded primary schools was significantly associated with managerial skills, including creativity, flexibility, and networking. The study concluded that managerial skills are a significant determinant of donor-funded schools' sustainability. The study recommends that school managers improve their creativity, flexibility, and networking skills.
Mental health is an important developmental aspect of any society. This study sought to assess the effect of the county legal framework on the implementation of mental health programmes in Nakuru County. The study was guided by the General Systems Theory. A descriptive survey design was used which involved a mixed-methods approach. The target population was the 80 respondents who are directly associated with the implementation of mental health programmes in Nakuru County. Due to the small population, a census procedure was utilized. Primary data was collected through the use of a questionnaire and interview guide. Quantitative data was analyzed through the SPSS software (v25). Descriptive statistics were analyzed through the use of frequencies and percentages while inferential statistics were analyzed through the Pearson Correlation and linear regression analysis and the findings were presented in form of tables. The qualitative data were analyzed thematically and presented through narratives. The study found that the county legal framework had a positive relationship with the implementation of mental health programmes in Nakuru County, Kenya (r=0.428; p=0.000). The county legal framework positively and significantly affected the implementation of mental health programmes in Nakuru County, Kenya. Also, improving the county's legal framework would have a positive impact on the implementation of mental health programmes in Nakuru County, Kenya. This study recommends that a study should be conducted on the implementation of mental health programmes focusing on the service-users of mental health services and programmes in county governments in Kenya. It is hoped that the findings of this study will increase awareness of mental health services in the county as well as help policymakers formulate effective policies and strategies on mental health programmes, services and public service delivery in Nakuru County.
Project cost control aims at controlling changes to the project budgeted cost in the contract document. Available data shows that the area of project management is riddled with project failure and cost overruns. This study sought to establish the influence of cost control on the realization of NG-CDF projects in Kikuyu Constituency, Kiambu County, Kenya. A descriptive cross-sectional survey design was adopted for this study. National Government Constituencies Development Fund projects in Kikuyu Constituency were the unit of observation, while members of the project management committees were the unit of analysis. A sample of 259 respondents was used. A structured questionnaire was used to collect data. Descriptive and chi-square analyses were used to analyze data with the help of SPSS. The majority (62.9%) of the respondents indicated that the project they were involved in was incomplete. Slightly half (58.5%) of the respondents indicated that the project was not on a budget. Results showed that 37.5% of the respondents cited inadequate money, 35.5% cited disbursement challenges, and 31.5% indicated price fluctuations as challenges experienced in the cost control of the projects. There was a significant relationship (p=0.021) between cost control on the realization of NG-CDF projects in Kikuyu Constituency, Kiambu County, Kenya. The study concluded that cost control influences the realization of NG-CDF projects in Kikuyu Constituency, Kiambu County, Kenya. There is a need for CDF committees to conduct research for products and services needed in the planning stages of NGCDF projects. This will enable better cost control which ultimately leads to higher project realization.
The purpose of this study was to assess the cultural beliefs influencing access to maternal healthcare in East Pokot Pastoral Communities, Baringo County, Kenya. The study was founded on the choice-making model and the theory of access. The research methodology was directed by the descriptive survey design. The target population was 5720 women of reproductive age between 15 and 49 years and their partners, community leaders, government health facilities administrators, traditional birth attendants and community health workers from the pastoralist communities in East Pokot in Baringo County, Kenya. A stratified purposive sampling technique included stratified and purposive sampling techniques were used to sample 146 participants. Data was collected using Focus Group Discussions and in-depth interviews. Using the Nvivo software, the data were coded and tracked and the findings were presented using narratives with quotations. The study found that the cultural beliefs that the community members held at times barred the women from accessing maternal healthcare services in the East Pokot sub-county.
The Kenyan banking sector is categorized into three tiers, tier I, II and III based on bank size. The profitability of tier II and III has been declining begging the question as to whether the size of the bank has any influence on the performance of the banks. This study determines the influence of internal equity capital on the financial performance of lower-tier commercial banks in Kenya. The study employed a descriptive and explanatory research design. The study population was 26 commercial banks in Tier II and III commercial banks in Kenya from 2016 to 2020. The average internal equity for lower-tier commercial banks in Kenya was .364 in 2016 and .400 in 2017. In 2018, the internal equity sharply rose to 8.299, which was followed by a small decline to 7.782 in 2019 signifying that in 2018 and 2019, lower-tier commercial banks in Kenya employed more internal equity financing to finance their operations. Through the hierarchical regression, it was established that internal equity has a positive and significant influence on the financial performance of lower-tier commercial banks in Kenya. Bank size does not moderate the effect of internal equity on the net profit margin of lower-tier commercial banks in Kenya (p = .202>0.05; R2 change of 0.07). The study recommends that lower-tier commercial banks need to encourage its shareholders to re-invest back their earnings rather than consuming them as dividends as internal equity is affordable and readily available when the bank is in urgent financial need.
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 |