István Harmati

74 papers receiving 558 citations

Peers

István Harmati
Comparison fields: 5 of 95
  • Modeling and Simulation 121
  • Computational Mathematics 7
  • Control and Systems Engineering 121
  • Cancer Research 71
  • Transportation 29
Replace K. Lakshmi Narayanan with:
K. Lakshmi Narayanan India
Lia Morra Italy
Reuben D. O’Dea United Kingdom
Rong Yao China
Jiao Hu China
Koichi Kobayashi Japan
Steven F. Barrett United States
Zeyang Li China
Haza Nuzly Abdull Hamed Malaysia
István Harmati relative to K. Lakshmi Narayanan India K. Lakshmi Narayanan's profile →
Citations per field
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K. Lakshmi Narayanan · 1×
Citations per year

Countries citing papers authored by István Harmati

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202155
2 201952
3 200848
4 201442
5 201138
6 202129
7 202022
8 201522
9 201219
10 201217
11 201213
12 202213
13 200212
14 201011
15 201311
16 20219
17 20128
18 20117
19 20197
20 20146

About István Harmati

István Harmati is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Management Science and Operations Research and Molecular Biology, having authored 87 papers that have together received 569 indexed citations. Recurring topics across this work include Multi-Criteria Decision Making (12 papers), Robotic Path Planning Algorithms (11 papers), Mathematical Biology Tumor Growth (11 papers), Guidance and Control Systems (9 papers), Transportation Planning and Optimization (9 papers), Angiogenesis and VEGF in Cancer (9 papers), Traffic control and management (8 papers) and Cancer, Hypoxia, and Metabolism (8 papers). The work is most often cited by research in Modeling and Simulation (121 citations), Computational Mathematics (7 citations), Control and Systems Engineering (121 citations), Cancer Research (71 citations) and Transportation (29 citations). István Harmati has collaborated with scholars based in Hungary, Romania and Finland. Frequent co-authors include Dániel András Drexler, Jian Guo, Johanna Sápi, Levente Kovács, Zoltàn Sápi, László T. Kóczy, Zoltán Benyó, Péter Várlaki, Gergely Márton and Richárd Fiáth. Their work appears in journals such as Fuzzy Sets and Systems, Acta Polytechnica Hungarica, Robotics and Autonomous Systems, Journal of Optimization Theory and Applications and Journal of Artificial Intelligence and Soft Computing Research.

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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