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 01:28 UTC — 22 Oct 2026 05:12 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 | 7 | 2 | 2/2 | 2/2 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2019 | All selected publications | 13 | 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): 2026-10-22T01:28:10.089634+00:00 — 2026-10-22T05:12:15.474762+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 | 1 | 2 | 2/2 |
| 2020 | All selected publications | 2 | 2 | 2/2 |
| 2021 | All selected publications | 0 | 2 | 2/2 |
| 2022 | All selected publications | 1 | 2 | 2/2 |
| 2023 | All selected publications | 5 | 2 | 2/2 |
| 2024 | All selected publications | 2 | 2 | 2/2 |
| 2025 | All selected publications | 0 | 2 | 2/2 |
| 2026 | All selected publications | 2 | 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 | 7 | 13 | 2/2 | 3.5 | 3.5 | 100.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
The study sought to determine the influence of human resource planning on firm performance of firms listed in the Nairobi Securities Exchange in Kenya. The study was anchored on human capital theory and shareholder value maximization theory. The research design used was a cross-sectional survey while the study population constituted all the 68 listed firms at the Nairobi Stock Exchange (NSE) as in May 2017. The target population included the head of human resources and finance directors in all the listed firms. The sample size comprised of 136 respondents, and data was collected through structured questionnaires to meet the objectives of the study. Responses were tabulated, coded, and processed by the use of a computer Statistical Package for Social Science (SPSS) to analyze the data. Both descriptive and inferential statistical techniques were used to analyze the data. To test hypotheses, a simple linear model was used to test significance between the independent and dependent variable. The study findings revealed that the relationship between human resource planning and firm performance was positive and statistically significant and hence rejected the null hypothesis. The study concluded that the type and strategy of the firm, succession planning, matching skills with jobs and skills inventory are human resource planning indicators influencing the performance of firms listed in the NSE. It is therefore recommended that firms should continue to practice and maintain adequate human resource planning as it plays a fundamental role in achieving the objectives of the organizations.
Human talent represents a source of competitive advantage. Yet the very people organisations would want to retain are the ones most likely to leave. What determines employee turnover is a vital question to organisations facing business continuity challenges. Through the prism of the Human Capital and Social Exchange theories, this study aimed at examining the influence of Talent Management practices on turnover intent among Research Scientists at the National Museums of Kenya, Nairobi. Data was collected by means of a structured questionnaire formulated based on extensive literature review. The study targeted 128 employees designated as Research Scientists at the time of conducting this study. Results indicate very high levels of engagement among Research Scientists at NMK. Though respondents understand how their performance is evaluated, the link between pay and performance appears unclear to them. Ample learning and growth opportunities do exist but identification of training needs is not methodical. The study also revealed a clear dissatisfaction with the total compensation package. Although majority of respondents believed that advancement opportunities existed, they were less confident regarding existence of equal opportunity for such advancement. Regression analysis of results indicated that of the six independent variables studied, only employee engagement had significant relationship with employee turnover intent. The study concludes that employee engagement is a critical factor in keeping employees in the organisation. It is recommended that NMK develops effective retention strategies to ensure that Research Scientists remain engaged and committed. An integrated rewards scheme incorporating non-financial factors, career development and work-life balance should form part of the strategy. In addition, a formalised induction program as well as a systematic learning and development scheme with individualised plans needs to be put in place.
The study sought to determine the influence of human resource planning on firm performance of firms listed in the Nairobi Securities Exchange in Kenya. The study was anchored on human capital theory and shareholder value maximization theory. The research design used was a cross-sectional survey while the study population constituted all the 68 listed firms at the Nairobi Stock Exchange (NSE) as in May 2017. The target population included the head of human resources and finance directors in all the listed firms. The sample size comprised of 136 respondents, and data was collected through structured questionnaires to meet the objectives of the study. Responses were tabulated, coded, and processed by the use of a computer Statistical Package for Social Science (SPSS) to analyze the data. Both descriptive and inferential statistical techniques were used to analyze the data. To test hypotheses, a simple linear model was used to test significance between the independent and dependent variable. The study findings revealed that the relationship between human resource planning and firm performance was positive and statistically significant and hence rejected the null hypothesis. The study concluded that the type and strategy of the firm, succession planning, matching skills with jobs and skills inventory are human resource planning indicators influencing the performance of firms listed in the NSE. It is therefore recommended that firms should continue to practice and maintain adequate human resource planning as it plays a fundamental role in achieving the objectives of the organizations.
Human talent represents a source of competitive advantage. Yet the very people organisations would want to retain are the ones most likely to leave. What determines employee turnover is a vital question to organisations facing business continuity challenges. Through the prism of the Human Capital and Social Exchange theories, this study aimed at examining the influence of Talent Management practices on turnover intent among Research Scientists at the National Museums of Kenya, Nairobi. Data was collected by means of a structured questionnaire formulated based on extensive literature review. The study targeted 128 employees designated as Research Scientists at the time of conducting this study. Results indicate very high levels of engagement among Research Scientists at NMK. Though respondents understand how their performance is evaluated, the link between pay and performance appears unclear to them. Ample learning and growth opportunities do exist but identification of training needs is not methodical. The study also revealed a clear dissatisfaction with the total compensation package. Although majority of respondents believed that advancement opportunities existed, they were less confident regarding existence of equal opportunity for such advancement. Regression analysis of results indicated that of the six independent variables studied, only employee engagement had significant relationship with employee turnover intent. The study concludes that employee engagement is a critical factor in keeping employees in the organisation. It is recommended that NMK develops effective retention strategies to ensure that Research Scientists remain engaged and committed. An integrated rewards scheme incorporating non-financial factors, career development and work-life balance should form part of the strategy. In addition, a formalised induction program as well as a systematic learning and development scheme with individualised plans needs to be put in place.
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 |