Mulyadi Robin

2.6k citations
12 papers · 1.6k · 2 hit papers · h-index 7

Impact in

Papers in

Mulyadi Robin

10 papers receiving 1.5k citations

Mulyadi Robin's Hit Papers

The role of ChatGPT in higher education: Benefits, challenges, and future research directions 2023 · 335 citations
3350+2+5Years since publication2505007501000

Peers

Mulyadi Robin
Comparison fields: 5 of 93
  • Health Informatics 182
  • Organizational Behavior and Human Resource Management 768
  • Human Factors and Ergonomics 77
  • Computer Science Applications 138
  • Demography 254
Replace Thomas H. Stone with:
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Mulyadi Robin relative to Thomas H. Stone United States Thomas H. Stone's profile →
Citations per field
00.5×11.5×
Thomas H. Stone · 1×
Citations per year

Countries citing papers authored by Mulyadi Robin

Since Specialization
Citations

This map shows the geographic impact of Mulyadi Robin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mulyadi Robin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mulyadi Robin more than expected).

Fields of papers citing papers by Mulyadi Robin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mulyadi Robin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mulyadi Robin. The network helps show where Mulyadi Robin may publish in the future.

Co-authors

The 20 scholars most cited alongside Mulyadi Robin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mulyadi Robin Line = papers co-authored together Mulyadi Robin links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Servant Leadership: A systematic review and call for future research
Hit paper breakdown →
20181020
2
The role of ChatGPT in higher education: Benefits, challenges, and future research directions
Hit paper breakdown →
2023335
3 2017105
4 201744
5 201918
6 201915
7 202210
8 20173
9 20221
10
Workplace Leadership: A Review of Prior Research
20141
11
The Evaluation of Urban Stressors. A Preliminary Report
20041
12 20220

About Mulyadi Robin

Mulyadi Robin is a scholar working on Organizational Behavior and Human Resource Management, Demography, Sociology and Political Science, Health and Social Psychology, having authored 12 papers that have together received 1.6k indexed citations. Recurring topics across this work include Job Satisfaction and Organizational Behavior (8 papers), Workplace Spirituality and Leadership (3 papers), Customer Service Quality and Loyalty (2 papers), Urban Green Space and Health (1 paper), Tourism, Volunteerism, and Development (1 paper), Innovations in Educational Methods (1 paper), Religion, Spirituality, and Psychology (1 paper) and Innovation and Knowledge Management (1 paper). The work is most often cited by research in Health Informatics (182 citations), Organizational Behavior and Human Resource Management (768 citations), Human Factors and Ergonomics (77 citations), Computer Science Applications (138 citations) and Demography (254 citations). Mulyadi Robin has collaborated with scholars based in Australia, United States and Indonesia. Frequent co-authors include Nathan Eva, Sen Sendjaya, Robert C. Liden, Dirk van Dierendonck, Mingwei Sun, Tareq Rasul, Fernando de Oliveira Santini, Wagner Júnior Ladeira, Raouf Ahmad Rather and Sumesh Nair. Their work appears in journals such as Personnel Review, The Leadership Quarterly, Journal of Business Ethics, Tourism Review International and Chinese Management Studies.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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