István Harmati
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Computational Mathematics top 10%
Papers in
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- Cognitive Science and Mapping 14
- Cognitive Computing and Networks 10
- Co-authors
- Dániel András Drexler (20 shared papers)László T. Kóczy (21 shared papers)Levente Kovács (16 shared papers)Jian Guo (8 shared papers)Johanna Sápi (16 shared papers)Zoltàn Sápi (7 shared papers)Péter Várlaki (13 shared papers)Robert C. Fuller (9 shared papers)
In The Last Decade
István Harmati
96 papers receiving 697 citations
Peers
Comparison fields: 5 of 98
- Modeling and Simulation 139
- Computational Mathematics 10
- Control and Systems Engineering 147
- Transportation 34
- Cancer Research 65
Countries citing papers authored by István Harmati
This map shows the geographic impact of István Harmati'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 István Harmati with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites István Harmati more than expected).
Fields of papers citing papers by István Harmati
This network shows the impact of papers produced by István Harmati. 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 István Harmati. The network helps show where István Harmati may publish in the future.
Co-authors
The 25 scholars most cited alongside István Harmati, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 108 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 57 | |
| 2 | 2008 | 56 | |
| 3 | 2019 | 56 | |
| 4 | 2014 | 46 | |
| 5 | 2011 | 43 | |
| 6 | 2021 | 30 | |
| 7 | 2020 | 24 | |
| 8 | 2012 | 23 | |
| 9 | 2018 | 23 | |
| 10 | 2015 | 22 | |
| 11 | 2012 | 19 | |
| 12 | 2022 | 14 | |
| 13 | 2012 | 14 | |
| 14 | 2010 | 12 | |
| 15 | 2021 | 12 | |
| 16 | 2002 | 12 | |
| 17 | 2013 | 12 | |
| 18 | 2019 | 10 | |
| 19 | 2016 | 8 | |
| 20 | 2020 | 8 |
About István Harmati
István Harmati is a scholar working on Control and Systems Engineering, Artificial Intelligence, Management Science and Operations Research, Computer Vision and Pattern Recognition and Molecular Biology, having authored 108 papers that have together received 713 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (19 papers), Cognitive Science and Mapping (14 papers), Mathematical Biology Tumor Growth (12 papers), Robotic Path Planning Algorithms (12 papers), Cognitive Computing and Networks (10 papers), Angiogenesis and VEGF in Cancer (10 papers), Transportation Planning and Optimization (9 papers) and Guidance and Control Systems (9 papers). The work is most often cited by research in Modeling and Simulation (139 citations), Computational Mathematics (10 citations), Control and Systems Engineering (147 citations), Transportation (34 citations) and Cancer Research (65 citations). István Harmati has collaborated with scholars based in Hungary, Romania and Finland. Frequent co-authors include Dániel András Drexler, László T. Kóczy, Levente Kovács, Jian Guo, Johanna Sápi, Zoltàn Sápi, Péter Várlaki, Robert C. Fuller, Zoltán Benyó and István Ulbert. Their work appears in journals such as Acta Polytechnica Hungarica, Fuzzy Sets and Systems, Lecture notes in control and information sciences, Robotics and Autonomous Systems and Optimal Control Applications and 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.