Gábor Kismihók

1.3k total citations
35 papers, 722 citations indexed

About

Gábor Kismihók is a scholar working on Artificial Intelligence, Computer Science Applications and Information Systems. According to data from OpenAlex, Gábor Kismihók has authored 35 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 12 papers in Computer Science Applications and 6 papers in Information Systems. Recurrent topics in Gábor Kismihók's work include Online Learning and Analytics (10 papers), Semantic Web and Ontologies (4 papers) and E-Learning and Knowledge Management (4 papers). Gábor Kismihók is often cited by papers focused on Online Learning and Analytics (10 papers), Semantic Web and Ontologies (4 papers) and E-Learning and Knowledge Management (4 papers). Gábor Kismihók collaborates with scholars based in Netherlands, Germany and Hungary. Gábor Kismihók's co-authors include Stefan T. Mol, Deanne N. Den Hartog, Vladimer Kobayashi, Hannah A. Berkers, Sören Auer, Markus Stocker, Manuel Prinz, Mohamad Yaser Jaradeh, Kheir Eddine Farfar and Allard Oelen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Vocational Behavior and Organizational Research Methods.

In The Last Decade

Gábor Kismihók

34 papers receiving 696 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Gábor Kismihók Netherlands 13 218 125 106 105 103 35 722
Chong Guan Singapore 14 170 0.8× 150 1.2× 106 1.0× 168 1.6× 142 1.4× 44 846
Jason Pallant Australia 13 309 1.4× 106 0.8× 60 0.6× 282 2.7× 156 1.5× 26 1.1k
Preeti Bhaskar India 16 198 0.9× 235 1.9× 239 2.3× 94 0.9× 149 1.4× 47 983
Richard V. McCarthy United States 14 153 0.7× 163 1.3× 112 1.1× 190 1.8× 66 0.6× 50 1.0k
Paweł Korzyński Poland 16 232 1.1× 104 0.8× 42 0.4× 276 2.6× 55 0.5× 41 1.1k
Ahmad Aburayya United Arab Emirates 17 271 1.2× 205 1.6× 93 0.9× 138 1.3× 57 0.6× 48 1.0k
Mehwish Waheed Malaysia 13 166 0.8× 136 1.1× 173 1.6× 179 1.7× 66 0.6× 23 853
Noor Al-Qaysi Malaysia 15 216 1.0× 117 0.9× 105 1.0× 276 2.6× 74 0.7× 24 821
Ad Kleingeld Netherlands 12 92 0.4× 69 0.6× 134 1.3× 70 0.7× 233 2.3× 30 857
Trevor T. Moores United States 16 148 0.7× 260 2.1× 53 0.5× 338 3.2× 100 1.0× 35 899

Countries citing papers authored by Gábor Kismihók

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Kismihók, Gábor & Brian Cahill. (2024). The power of researcher communities: actions towards better mental well-being in academic workplaces. The Biochemist. 46(4). 10–15.
2.
Kismihók, Gábor, et al.. (2023). Summarising Literature on Mental Health in Academia: Machine Learning Methods and Human Expertise. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
3.
Kismihók, Gábor, et al.. (2022). Latent Class Cluster Analysis: Selecting the number of clusters. MethodsX. 9. 101747–101747. 34 indexed citations
4.
Kismihók, Gábor, et al.. (2022). A Scholarly Knowledge Graph-Powered Dashboard: Implementation and User Evaluation. SHILAP Revista de lepidopterología. 7. 934930–934930. 2 indexed citations
5.
Mol, Stefan T., et al.. (2022). Hybrid Human-AI Curriculum Development for Personalised Informal Learning Environments. Zenodo (CERN European Organization for Nuclear Research). 563–569. 8 indexed citations
6.
Kismihók, Gábor, et al.. (2021). Combining statistical and machine learning methods to explore German students’ attitudes towards ICT in PISA. International Journal of Research & Method in Education. 45(2). 180–199. 28 indexed citations
7.
Kismihók, Gábor, Brian Cahill, Janet Metcalfe, et al.. (2021). Researcher Mental Health and Well-being Manifesto. Zenodo (CERN European Organization for Nuclear Research). 3 indexed citations
8.
Lohmann, Steffen, et al.. (2020). An OER Recommender System Supporting Accessibility Requirements. Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft). 1–4. 3 indexed citations
9.
Pedraza, Pablo de, et al.. (2019). Survey vs Scraped Data: Comparing Time Series Properties of Web and Survey Vacancy Data. SHILAP Revista de lepidopterología. 8(1). 11 indexed citations
10.
Kobayashi, Vladimer, Stefan T. Mol, Hannah A. Berkers, Gábor Kismihók, & Deanne N. Den Hartog. (2017). Text Classification for Organizational Researchers. Organizational Research Methods. 21(3). 766–799. 59 indexed citations
11.
Kismihók, Gábor, et al.. (2017). Antecedents of job search self-efficacy of Syrian refugees in Greece and the Netherlands. Journal of Vocational Behavior. 105. 159–172. 77 indexed citations
12.
Kobayashi, Vladimer, Stefan T. Mol, Hannah A. Berkers, Gábor Kismihók, & Deanne N. Den Hartog. (2017). Text Mining in Organizational Research. Organizational Research Methods. 21(3). 733–765. 170 indexed citations
13.
Mol, Stefan T., et al.. (2016). The Role of a Reference Synthetic Data Generator within the Field of Learning Analytics.. Journal of Learning Analytics. 3(1). 24 indexed citations
14.
Kobayashi, Vladimer, et al.. (2016). Automatic Extraction of Nursing Tasks from Online Job Vacancies. UvA-DARE (University of Amsterdam). 3 indexed citations
15.
Drachsler, Hendrik, Tore Hoel, Gábor Kismihók, et al.. (2016). Ethical and privacy issues in the design of learning analytics applications. Open University of the Netherlands Research Portal. 492–493. 5 indexed citations
16.
Ferguson, Rebecca, Hendrik Drachsler, Gábor Kismihók, et al.. (2015). Learning analytics. 69–72. 9 indexed citations
17.
Kismihók, Gábor, et al.. (2012). Six Scenarios of Exploiting an Ontology Based, Mobilized Learning Environment. International Journal of Mobile and Blended Learning. 4(1). 45–60. 5 indexed citations
18.
Kismihók, Gábor, et al.. (2012). An innovative ontology-driven system supporting personnel selection: the OntoHR case. International Journal of Knowledge and Learning. 8(1/2). 41–41. 1 indexed citations
19.
Arrigo, Marco, Agnes Kukulska‐Hulme, Inmaculada Arnedillo‐Sánchez, & Gábor Kismihók. (2012). Meta‐analyses from a collaborative project in mobile lifelong learning. British Educational Research Journal. 39(2). 222–247. 23 indexed citations
20.
Keegan, Desmond, et al.. (2008). The Impact of New Technologies on Distance Learning Students. 1000–1003. 16 indexed citations

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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