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, 00:21 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 02:28 UTC — 22 Oct 2026 05:59 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.
1 / 2 with data · 1 missing or unmatched. Percentages use all 2 selected publications.
1 / 2 with data · 1 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 |
|---|---|---|---|---|---|
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | Crossref citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 10 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | All selected publications | 0 | 1 | 1/1 | 1/1 |
| Publication year | Journal / scope | OpenAlex citations | Publications | Crossref known | OpenAlex known |
|---|---|---|---|---|---|
| 2022 | All selected publications | 15 | 1 | 1/1 | 1/1 |
| 2023 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2024 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2025 | 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 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): 2026-10-22T02:28:44.146728+00:00 — 2026-10-22T05:59:52.155317+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 | 3 | 2 | 2/2 |
| 2023 | All selected publications | 4 | 2 | 2/2 |
| 2024 | All selected publications | 4 | 2 | 2/2 |
| 2025 | All selected publications | 3 | 2 | 2/2 |
| 2026 | All selected publications | 1 | 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 |
|---|---|
| 2022 | 1 |
| 2025 | 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 Finance & Banking Studies SSBFNET | 2 | 10 | 15 | 2/2 | 5.0 | 5.0 | 50.0 | 2/2 · 100.0% |
* Percentage among publications with a known citation count.
This study aims to analyze the effects of human capital and organizational learning on employee performance with innovation behavior as a mediator. This study is conducted at a privately owned bank in Gorontalo City with a sample of 92 respondents. Researchers use purposive sampling with data collection technique that is questionnaires in Google Form. Data analysis is performed using SEM-PLS (Structural Equation Modeling Partial Least Square) with SmartPLS software version 3.0. The results of this study indicate that (1) human capital has positive effect on employee performance and innovation behavior, (2) organizational learning has positive effect on innovation behavior, (3) innovation behavior has positive effect on employee performance, and (4) innovation behavior mediates the effect of organizational learning on employee performance but cannot mediate human capital on employee performance.
The leadership of the agro-processing project entails applying leadership abilities, understanding of agriculture, and project management concepts to meet the project's goals while catering to the interests of stakeholders. Nevertheless, numerous agro-processing initiatives encounter financial and resource limitations, human resource management difficulties, technological and knowledge deficiencies, and leadership and decision-making hurdles. The research aimed to evaluate the influence of leadership styles of Laissez-Faire, Transformational and Transactional Leadership approach on performance of Agro-processing Projects in Musanze District, Rwanda. The research was based on Resource-Based View (RBV) theory. The research employed descriptive survey and correlational research methodologies. Structured questionnaires and interview guides were utilized to gather both quantitative and qualitative data from 208 participants, chosen using a mix of stratified, random, and purposive sampling, from a target population of 433 stakeholders involved in the SPF agricultural development initiative. The pilot study sought to improve the validity and reliability of the research instruments by pre-testing the questionnaire and interview guide on 21 participants, representing 10% of the sample size. Validity was verified via expert assessment, resulting in a content validity index of 0.76, while reliability was determined through the split-half method, attaining a Cronbach’s alpha coefficient of 0.90, indicating the instruments' reliability and suitability for data collection. Descriptive statistics including percentage, frequency, mean, and standard deviation, along with inferential statistics such as correlation and regression, were performed at a significance level of 0.05 using Stata/MP 13.0, while thematic content analysis of qualitative data was conducted for triangulation purposes. The results for three hypotheses were examined at an ? = 0.05 significance level, yielding the following outcomes: laissez-faire leadership (P = 0.000<0.05), transformational leadership (P = 0.000<0.05) and, transactional leadership (P = 0.000<0.05) does not significantly affect performance were all rejected. The research findings indicate that agricultural initiatives have greatly benefited from the adoption of improved leadership approaches specifically laissez-faire, transformational, and transactional to guarantee successful project execution and sustainability. It is suggested that the SPF project focus on inclusive leadership styles such as laissez-faire, transformational, and transactional to maintain success, while also investing in the training of their employees, particularly their project managers, inspiring workers, continuing to blend these leadership styles, and collaborating with research institutions for a promising future and advancement. Future studies ought to emphasize qualitative insights and long-term effects, exploring the impact of community participation, assessing the financial sustainability of agro-processing initiatives, and analyzing the consequences of climate change.
The leadership of the agro-processing project entails applying leadership abilities, understanding of agriculture, and project management concepts to meet the project's goals while catering to the interests of stakeholders. Nevertheless, numerous agro-processing initiatives encounter financial and resource limitations, human resource management difficulties, technological and knowledge deficiencies, and leadership and decision-making hurdles. The research aimed to evaluate the influence of leadership styles of Laissez-Faire, Transformational and Transactional Leadership approach on performance of Agro-processing Projects in Musanze District, Rwanda. The research was based on Resource-Based View (RBV) theory. The research employed descriptive survey and correlational research methodologies. Structured questionnaires and interview guides were utilized to gather both quantitative and qualitative data from 208 participants, chosen using a mix of stratified, random, and purposive sampling, from a target population of 433 stakeholders involved in the SPF agricultural development initiative. The pilot study sought to improve the validity and reliability of the research instruments by pre-testing the questionnaire and interview guide on 21 participants, representing 10% of the sample size. Validity was verified via expert assessment, resulting in a content validity index of 0.76, while reliability was determined through the split-half method, attaining a Cronbach’s alpha coefficient of 0.90, indicating the instruments' reliability and suitability for data collection. Descriptive statistics including percentage, frequency, mean, and standard deviation, along with inferential statistics such as correlation and regression, were performed at a significance level of 0.05 using Stata/MP 13.0, while thematic content analysis of qualitative data was conducted for triangulation purposes. The results for three hypotheses were examined at an ? = 0.05 significance level, yielding the following outcomes: laissez-faire leadership (P = 0.000<0.05), transformational leadership (P = 0.000<0.05) and, transactional leadership (P = 0.000<0.05) does not significantly affect performance were all rejected. The research findings indicate that agricultural initiatives have greatly benefited from the adoption of improved leadership approaches specifically laissez-faire, transformational, and transactional to guarantee successful project execution and sustainability. It is suggested that the SPF project focus on inclusive leadership styles such as laissez-faire, transformational, and transactional to maintain success, while also investing in the training of their employees, particularly their project managers, inspiring workers, continuing to blend these leadership styles, and collaborating with research institutions for a promising future and advancement. Future studies ought to emphasize qualitative insights and long-term effects, exploring the impact of community participation, assessing the financial sustainability of agro-processing initiatives, and analyzing the consequences of climate change.
This study aims to analyze the effects of human capital and organizational learning on employee performance with innovation behavior as a mediator. This study is conducted at a privately owned bank in Gorontalo City with a sample of 92 respondents. Researchers use purposive sampling with data collection technique that is questionnaires in Google Form. Data analysis is performed using SEM-PLS (Structural Equation Modeling Partial Least Square) with SmartPLS software version 3.0. The results of this study indicate that (1) human capital has positive effect on employee performance and innovation behavior, (2) organizational learning has positive effect on innovation behavior, (3) innovation behavior has positive effect on employee performance, and (4) innovation behavior mediates the effect of organizational learning on employee performance but cannot mediate human capital on employee performance.
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 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |
| ojs-rest | 21 Oct 2026 00:21 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:14 UTC |
| oai-pmh | 20 Oct 2026 19:56 UTC · ijfbs | complete · ijfbs · 20 Oct 2026 19:55 UTC |
| openalex-enrichment | 21 Oct 2026 00:22 UTC · ijfbs | complete · ijfbs · 21 Oct 2026 00:21 UTC |