István Harmati
Impact in
- Modeling and Simulation top 2%
- Mathematical Biology Tumor Growth
- Computational Mathematics top 10%
Papers in
-
- Mathematical Biology Tumor Growth 15
-
- Cognitive Science and Mapping 14
- Fuzzy Logic and Control Systems 6
- Co-authors
- Dániel András Drexler (20 shared papers)László Tamás Kóczy (19 shared papers)Johanna Sápi (16 shared papers)Levente Kovács (16 shared papers)Zoltàn Sápi (7 shared papers)Zoltán Benyó (2 shared papers)Péter Várlaki (11 shared papers)Robert C. Fuller (8 shared papers)
In The Last Decade
István Harmati
71 papers receiving 481 citations
Peers
Comparison fields: 5 of 60
- Modeling and Simulation 170
- Computational Mathematics 10
- Control and Systems Engineering 97
- Artificial Intelligence 123
- Management Science and Operations Research 31
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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 58 | |
| 2 | 2014 | 48 | |
| 3 | 2011 | 43 | |
| 4 | 2018 | 24 | |
| 5 | 2012 | 23 | |
| 6 | 2015 | 22 | |
| 7 | 2012 | 19 | |
| 8 | 2002 | 15 | |
| 9 | 2012 | 14 | |
| 10 | 2022 | 14 | |
| 11 | 2021 | 13 | |
| 12 | Approximation of force and energy in vehicle crash using LPV type description | 2010 | 12 |
| 13 | 2013 | 12 | |
| 14 | 2019 | 11 | |
| 15 | 2019 | 9 | |
| 16 | 2012 | 8 | |
| 17 | 2014 | 8 | |
| 18 | 2016 | 8 | |
| 19 | 2011 | 7 | |
| 20 | 2013 | 6 |
About István Harmati
István Harmati is a scholar working on Modeling and Simulation, Artificial Intelligence, Control and Systems Engineering, Statistics and Probability and Computational Theory and Mathematics, having authored 76 papers that have together received 493 indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (15 papers), Cognitive Science and Mapping (14 papers), Multi-Criteria Decision Making (9 papers), Advanced Algebra and Logic (8 papers), Fuzzy Systems and Optimization (8 papers), Transportation Safety and Impact Analysis (7 papers), Fuzzy Logic and Control Systems (6 papers) and Robotic Mechanisms and Dynamics (5 papers). The work is most often cited by research in Modeling and Simulation (170 citations), Computational Mathematics (10 citations), Control and Systems Engineering (97 citations), Artificial Intelligence (123 citations) and Management Science and Operations Research (31 citations). István Harmati has collaborated with scholars based in Hungary, Romania and Finland. Frequent co-authors include Dániel András Drexler, László Tamás Kóczy, Johanna Sápi, Levente Kovács, Zoltàn Sápi, Zoltán Benyó, Péter Várlaki, Robert C. Fuller, Béla Lantos and Shahram Payandeh. Their work appears in journals such as Fuzzy Sets and Systems, International Journal of Applied Mathematics and Computer Science, Symmetry, Robotics and Autonomous Systems and Applied Optics.
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.