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: 21 Oct 2026 07:22 UTC — 22 Oct 2026 01:04 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | 0 | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 1 | 1 | 1/1 | 1/1 |
| 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 2 | 1 | 1/1 | 1/1 |
| 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 |
|---|---|---|---|---|---|
| 2020 | All selected publications | 8 | 1 | 1/1 | 1/1 |
| 2021 | All selected publications | — | 0 | 0/0 | 0/0 |
| 2022 | All selected publications | 4 | 1 | 1/1 | 1/1 |
| 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): 2026-10-21T07:22:43.940924+00:00 — 2026-10-22T01:04:51.961944+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 | 3 | 3 | 3/3 |
| 2022 | All selected publications | 3 | 3 | 3/3 |
| 2023 | All selected publications | 2 | 3 | 3/3 |
| 2024 | All selected publications | 1 | 3 | 3/3 |
| 2025 | All selected publications | 3 | 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 |
|---|---|
| 2020 | 1 |
| 2022 | 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 | 4 | 12 | 3/3 | 1.33 | 2 | 66.7 | 3/3 · 100.0% |
* Percentage among publications with a known citation count.
Organizations are currently seeking for ways to improve their performance in order to remain in the fierce competition in the business environment. In this regard, leadership plays a crucial role as they can shape employees’ behavior and attitude in the organization. This study is carried out to analyze and understand the relationship between servant leadership, work engagement, and job performance. It also aims to examine the mediating role of work engagement in the relationship between servant leadership and job performance. This study uses quantitative approach with the survey. The population of this study is employees of manufacturing companies in West Java, Indonesia, with a total number of samples of 115 respondents, which are chosen using purposive sampling. The data collection is done using a survey by distributing questionnaires to respondents online. The data analysis uses Structural Equation Modeling with Partial Least Square (SEM-PLS). The results of this study indicate that servant leadership has a positive influence on both work engagement and job performance, while work engagement has a positive influence on job performance. In addition, this study also proved that work engagement is a mediator in the relationship between servant leadership and job performance. This study provides a fruitful contribution for managers or leaders of employees in manufacturing companies, such that they can foster employee performance through leading in a servant leadership style. This leadership style will be able to help employees to develop engagement in their work, and it will eventually increase their job performance.
Human resources in a company will always communicate with each other. In this business world, nothing can be accomplished without communicating effectively with employers, employees, clients, suppliers, and customers. The purpose of this study is to analyze the influence of communication climate on motivation, to analyze the influence of motivation on employee performance, and the influence of communication climate on employee performance mediated by motivation. This study used descriptive analysis research methods and path analysis using SPSS version 25 software. The unit of analysis in this study were all employees of PT Lazada Express Bandung, so the population in this study were all employees totaling 52 people. The sampling method using a saturated sampling method so that the number of respondents as large as the population of 52 employees. The results showed that the climate of communication has an influence on employee motivation. The magnitude of the influence of the communication climate on employee performance is 79.60%. and there is an influence between work motivation on employee performance and motivation does not mediate the effect of communication climate on employee performance.
This paper aims to determine to extend to which leadership and communication influence employee performance in the KOTAKU Bandung program. Employees who are able to work well are the company’s most desirable resources in order to achieve company goals. Employee performance can be improved from a leader by setting a good example, paying attention to employees and always communicating well with employees at work, especially employees who behave less well. In this paper, it is also describe about leadership, communication and employee performance in the KOTAKU Bandung program. We employed a hybrid analytics method for descriptive and verification methods with qualitative and quantitative approaches. Questionnaires were used to collect data. Inferential statistics were used to analyze the data, data analysis made use of multiple regressions and Pearson’s correlation. The Statistical Package for Social Science was used to aid the analysis. A dataset of 57 respondents from employee in KOTAKU Bandung program. Data processing was carried out by analyzing correlation coefficients, coefficients of determination, and hypothesis testing. Main findings study demonstrate that (i) employee responses regarding leadership and communication were stated to be quiet good, (ii) employee reponses regarding employee performance are stated to be quite high, and finally (iii) leadership and communication have influence employee performance both partially and simultaneously in the KOTAKU Bandung program.
This paper aims to determine to extend to which leadership and communication influence employee performance in the KOTAKU Bandung program. Employees who are able to work well are the company’s most desirable resources in order to achieve company goals. Employee performance can be improved from a leader by setting a good example, paying attention to employees and always communicating well with employees at work, especially employees who behave less well. In this paper, it is also describe about leadership, communication and employee performance in the KOTAKU Bandung program. We employed a hybrid analytics method for descriptive and verification methods with qualitative and quantitative approaches. Questionnaires were used to collect data. Inferential statistics were used to analyze the data, data analysis made use of multiple regressions and Pearson’s correlation. The Statistical Package for Social Science was used to aid the analysis. A dataset of 57 respondents from employee in KOTAKU Bandung program. Data processing was carried out by analyzing correlation coefficients, coefficients of determination, and hypothesis testing. Main findings study demonstrate that (i) employee responses regarding leadership and communication were stated to be quiet good, (ii) employee reponses regarding employee performance are stated to be quite high, and finally (iii) leadership and communication have influence employee performance both partially and simultaneously in the KOTAKU Bandung program.
Organizations are currently seeking for ways to improve their performance in order to remain in the fierce competition in the business environment. In this regard, leadership plays a crucial role as they can shape employees’ behavior and attitude in the organization. This study is carried out to analyze and understand the relationship between servant leadership, work engagement, and job performance. It also aims to examine the mediating role of work engagement in the relationship between servant leadership and job performance. This study uses quantitative approach with the survey. The population of this study is employees of manufacturing companies in West Java, Indonesia, with a total number of samples of 115 respondents, which are chosen using purposive sampling. The data collection is done using a survey by distributing questionnaires to respondents online. The data analysis uses Structural Equation Modeling with Partial Least Square (SEM-PLS). The results of this study indicate that servant leadership has a positive influence on both work engagement and job performance, while work engagement has a positive influence on job performance. In addition, this study also proved that work engagement is a mediator in the relationship between servant leadership and job performance. This study provides a fruitful contribution for managers or leaders of employees in manufacturing companies, such that they can foster employee performance through leading in a servant leadership style. This leadership style will be able to help employees to develop engagement in their work, and it will eventually increase their job performance.
Human resources in a company will always communicate with each other. In this business world, nothing can be accomplished without communicating effectively with employers, employees, clients, suppliers, and customers. The purpose of this study is to analyze the influence of communication climate on motivation, to analyze the influence of motivation on employee performance, and the influence of communication climate on employee performance mediated by motivation. This study used descriptive analysis research methods and path analysis using SPSS version 25 software. The unit of analysis in this study were all employees of PT Lazada Express Bandung, so the population in this study were all employees totaling 52 people. The sampling method using a saturated sampling method so that the number of respondents as large as the population of 52 employees. The results showed that the climate of communication has an influence on employee motivation. The magnitude of the influence of the communication climate on employee performance is 79.60%. and there is an influence between work motivation on employee performance and motivation does not mediate the effect of communication climate 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 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 |