Gábor Kismihók
- Artificial Intelligence top 5%
- Information Systems top 5%
- Education top 10%
- Sociology and Political Science
- Computer Science Applications top 5%
- Co-authors
- Stefan T. MolDeanne N. Den HartogVladimer KobayashiHannah A. BerkersSören AuerMarkus StockerManuel PrinzJennifer D’Souza
- Topics
- Online Learning and Analytics (10 papers)Semantic Web and Ontologies (4 papers)E-Learning and Knowledge Management (4 papers)
- Cited by
- Computer Science ApplicationsOrganizational Behavior and Human Resource ManagementGeneral Social Sciences
- Journals
- SHILAP Revista de lepidopterologíaJournal of Vocational BehaviorOrganizational Research Methods
- Partner nations
- NetherlandsGermanyHungary
In The Last Decade
Gábor Kismihók
34 papers receiving 696 citations
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 218
- Information Systems 125
- Education 106
- Sociology and Political Science 105
- Computer Science Applications 103
Countries citing papers authored by Gábor Kismihók
This map shows the geographic impact of Gábor Kismihók'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 Gábor Kismihók with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gábor Kismihók more than expected).
Fields of papers citing papers by Gábor Kismihók
This network shows the impact of papers produced by Gábor Kismihók. 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 Gábor Kismihók. The network helps show where Gábor Kismihók may publish in the future.
Co-authorship network of co-authors of Gábor Kismihók
This figure shows the co-authorship network connecting the top 25 collaborators of Gábor Kismihók. A scholar is included among the top collaborators of Gábor Kismihók based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gábor Kismihók. Gábor Kismihók is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 34 | |
| 3 | 2 | |
| 4 | 28 | |
| 5 | 3 | |
| 6 | 3 | |
| 7 | 18 | |
| 8 | 11 | |
| 9 | 77 | |
| 10 | 59 | |
| 11 | 170 | |
| 12 | Automatic Extraction of Nursing Tasks from Online Job Vacancies | 3 |
| 13 | 24 | |
| 14 | 5 | |
| 15 | 9 | |
| 16 | Discovering Learning Antecedents in Learning Analytics Literature. | 1 |
| 17 | 1 | |
| 18 | 5 | |
| 19 | 23 | |
| 20 | 16 |
About Gábor Kismihók
Gábor Kismihók is a scholar working on Computer Science Applications, Health Informatics and Human Factors and Ergonomics, having authored 35 papers that have together received 722 indexed citations. Recurring topics across this work include Online Learning and Analytics (10 papers), Semantic Web and Ontologies (4 papers) and E-Learning and Knowledge Management (4 papers). The work is most often cited by research in Computer Science Applications (103 citations), Organizational Behavior and Human Resource Management (86 citations) and General Social Sciences (24 citations). Gábor Kismihók has collaborated with scholars based in Netherlands, Germany and Hungary. Frequent co-authors include Stefan T. Mol, Deanne N. Den Hartog, Vladimer Kobayashi, Hannah A. Berkers, Sören Auer, Markus Stocker, Manuel Prinz, Jennifer D’Souza, Kheir Eddine Farfar and Mohamad Yaser Jaradeh. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Vocational Behavior and Organizational Research Methods.
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.