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: 3 / 3 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 01:56 UTC — 23 Oct 2026 13:39 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.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 selected publications.
3 / 3 with data · 0 missing or unmatched. Percentages use all 3 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 | 1 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 5 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| 2020 | All selected publications | 9 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 1 | 1/1 | 1/1 |
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): 2026-10-22T01:56:37.039525+00:00 — 2026-10-23T13:39:50.049739+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 | 3 | 3/3 |
| 2018 | All selected publications | 0 | 3 | 3/3 |
| 2019 | All selected publications | 0 | 3 | 3/3 |
| 2020 | All selected publications | 0 | 3 | 3/3 |
| 2021 | All selected publications | 0 | 3 | 3/3 |
| 2022 | All selected publications | 2 | 3 | 3/3 |
| 2023 | All selected publications | 3 | 3 | 3/3 |
| 2024 | All selected publications | 3 | 3 | 3/3 |
| 2025 | All selected publications | 1 | 3 | 3/3 |
| 2026 | All selected publications | 0 | 3 | 3/3 |
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 ↗
Publications by publication year. 2026 is an incomplete year.
| Period | Publications |
|---|---|
| 2019 | 1 |
| 2020 | 1 |
| 2024 | 1 |
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 | 3 | 5 | 9 | 3/3 | 1.67 | 0 | 33.3 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
In order to push development to the grassroots and ensure citizens contribute meaningfully to development, many African countries have adopted the devolved governance system. However, it has been observed that the devolution of political powers has not translated equally to envisioned overall development. In Kenya County governments have achieved various milestones towards development demonstrated through the infrastructure, social amenities, and standards of living. However, corruption has been increasing mainly due to a lack of transparency. This paper sought to examine the contribution of transparency levels in County government service delivery. The study adopted mixed method approach using survey and in-depth interviews concurrently. Stratified multi stage cluster sampling was deployed. Quantitative data was collected using questionnaires and qualitative data using interview schedules. Data was analyzed using descriptive and inferential statistics and a typological theory developed to explain the study results. The study findings showed that the level of transparency in the counties was low which affected service delivery. The study concluded that county governments should ensure that public participation and sharing of information is bidirectional to involve both users and management so as to improve service delivery.
This study investigates the impact of communication modes on enhancing public participation in Laikipia County, Kenya. The objective of the study was to examine how different communication channels affect citizen involvement in government-led development processes. Public participation is crucial for fostering democratic governance and equitable development. However, in Kenya, achieving substantial public engagement has been challenging, partly due to the use of ineffective communication channels. This study hypothesizes that such channels hinder meaningful public participation. To explore this, a hybrid analytics method was employed, combining quantitative and qualitative approaches, to assess how various communication modes influence public engagement. The research utilized a dataset comprising 384 respondents collected between June and July 2024. Data analysis, completed in July 2024, revealed several that different modes of communication significantly affect the level of public participation, influencing how well citizens receive and comprehend information about development initiatives. Channels that facilitate clearer, more direct communication leads to higher levels of understanding and engagement among the public. Effective communication channels are essential for fostering meaningful public involvement, as they impact citizens' responses and behaviours towards development activities. These findings underscore the importance of utilizing effective communication strategies to enhance public participation in development processes. The study contributes to a better understanding of how communication methods can be optimized to support democratic engagement and improve development outcomes in Kenya.
The devolved system of governance was adopted to ensure development in all regions and effectiveness in service delivery for all Kenyans. The purpose of the study was to evaluate the consensus orientation practices on the performance of county governments in Kenya. The study used a descriptive and explanatory cross-sectional survey method. The unit of analysis was the county government. The counties in which data was collected helped in the generalization of findings to all the Kenyan 47 counties. For this study, a sample of 354 was arrived at. A simple random sampling method was adopted for selecting the respondents. The study used a questionnaire for the collection of primary data. Data analysis was done with the help of a statistical analysis program. Frequencies and descriptive statistics were obtained for the study’s variables and this information was presented in graphs and frequency tables. Inferential statistics included regression analysis that was used to test the significance between dependent and the independent variables. The researcher observed respondents’ rights to privacy and safety. The study established that consensus orientation had a significant influence on the performance of county governments in Kenya and concluded that consensus orientation influences the performance of county governments in Kenya. The study recommends that Governors need to sensitize county directors to work in consultation with other stakeholders to ensure that all feel part of the developmental agenda for the county. There is a need for county governments to set effective regulations through the Public Procurement Regulatory Authority to regulate and shape the county’s procurement procedures.
This study investigates the impact of communication modes on enhancing public participation in Laikipia County, Kenya. The objective of the study was to examine how different communication channels affect citizen involvement in government-led development processes. Public participation is crucial for fostering democratic governance and equitable development. However, in Kenya, achieving substantial public engagement has been challenging, partly due to the use of ineffective communication channels. This study hypothesizes that such channels hinder meaningful public participation. To explore this, a hybrid analytics method was employed, combining quantitative and qualitative approaches, to assess how various communication modes influence public engagement. The research utilized a dataset comprising 384 respondents collected between June and July 2024. Data analysis, completed in July 2024, revealed several that different modes of communication significantly affect the level of public participation, influencing how well citizens receive and comprehend information about development initiatives. Channels that facilitate clearer, more direct communication leads to higher levels of understanding and engagement among the public. Effective communication channels are essential for fostering meaningful public involvement, as they impact citizens' responses and behaviours towards development activities. These findings underscore the importance of utilizing effective communication strategies to enhance public participation in development processes. The study contributes to a better understanding of how communication methods can be optimized to support democratic engagement and improve development outcomes in Kenya.
In order to push development to the grassroots and ensure citizens contribute meaningfully to development, many African countries have adopted the devolved governance system. However, it has been observed that the devolution of political powers has not translated equally to envisioned overall development. In Kenya County governments have achieved various milestones towards development demonstrated through the infrastructure, social amenities, and standards of living. However, corruption has been increasing mainly due to a lack of transparency. This paper sought to examine the contribution of transparency levels in County government service delivery. The study adopted mixed method approach using survey and in-depth interviews concurrently. Stratified multi stage cluster sampling was deployed. Quantitative data was collected using questionnaires and qualitative data using interview schedules. Data was analyzed using descriptive and inferential statistics and a typological theory developed to explain the study results. The study findings showed that the level of transparency in the counties was low which affected service delivery. The study concluded that county governments should ensure that public participation and sharing of information is bidirectional to involve both users and management so as to improve service delivery.
The devolved system of governance was adopted to ensure development in all regions and effectiveness in service delivery for all Kenyans. The purpose of the study was to evaluate the consensus orientation practices on the performance of county governments in Kenya. The study used a descriptive and explanatory cross-sectional survey method. The unit of analysis was the county government. The counties in which data was collected helped in the generalization of findings to all the Kenyan 47 counties. For this study, a sample of 354 was arrived at. A simple random sampling method was adopted for selecting the respondents. The study used a questionnaire for the collection of primary data. Data analysis was done with the help of a statistical analysis program. Frequencies and descriptive statistics were obtained for the study’s variables and this information was presented in graphs and frequency tables. Inferential statistics included regression analysis that was used to test the significance between dependent and the independent variables. The researcher observed respondents’ rights to privacy and safety. The study established that consensus orientation had a significant influence on the performance of county governments in Kenya and concluded that consensus orientation influences the performance of county governments in Kenya. The study recommends that Governors need to sensitize county directors to work in consultation with other stakeholders to ensure that all feel part of the developmental agenda for the county. There is a need for county governments to set effective regulations through the Public Procurement Regulatory Authority to regulate and shape the county’s procurement procedures.
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 |