Levente Kovács
Impact in
- Modeling and Simulation top 0.5%
- Mathematical Biology Tumor Growth
- Computational Mathematics top 2%
Papers in
-
- Diabetes Management and Research 78
-
- Mathematical Biology Tumor Growth 64
- Co-authors
- Dániel András Drexler (82 shared papers)Zoltán Benyó (38 shared papers)Johanna Sápi (35 shared papers)Tamás Haidegger (32 shared papers)Balázs Benyó (36 shared papers)György Eigner (78 shared papers)Tamás Ferenci (33 shared papers)Imre J. Rudas (33 shared papers)
- Journals
- Acta Polytechnica Hungarica (20 papers)Complexity (5 papers)PLoS ONE (4 papers)Sensors (4 papers)Computer Methods and Programs in Biomedicine (3 papers)
- Partner nations
- HungaryRomaniaUnited States
In The Last Decade
Levente Kovács
375 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 180
- Modeling and Simulation 535
- Computational Mathematics 58
- Endocrinology, Diabetes and Metabolism 431
- Control and Systems Engineering 644
- Neurology 101
Countries citing papers authored by Levente Kovács
This map shows the geographic impact of Levente Kovács'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 Levente Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Levente Kovács more than expected).
Fields of papers citing papers by Levente Kovács
This network shows the impact of papers produced by Levente Kovács. 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 Levente Kovács. The network helps show where Levente Kovács may publish in the future.
Co-authors
The 25 scholars most cited alongside Levente Kovács, 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 436 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 119 | |
| 2 | Controller Design Solutions for Long Distance Telesurgical Applications | 2011 | 93 |
| 3 | 2011 | 89 | |
| 4 | 1994 | 84 | |
| 5 | 2017 | 73 | |
| 6 | 2012 | 68 | |
| 7 | 2015 | 65 | |
| 8 | 2021 | 60 | |
| 9 | 2010 | 52 | |
| 10 | 2007 | 44 | |
| 11 | 2017 | 44 | |
| 12 | 2009 | 44 | |
| 13 | 2019 | 42 | |
| 14 | 2014 | 42 | |
| 15 | 2016 | 42 | |
| 16 | 2014 | 38 | |
| 17 | 2020 | 38 | |
| 18 | 2011 | 38 | |
| 19 | 1995 | 31 | |
| 20 | 2019 | 30 |
About Levente Kovács
Levente Kovács is a scholar working on Endocrinology, Diabetes and Metabolism, Modeling and Simulation, Control and Systems Engineering, Molecular Biology and Surgery, having authored 436 papers that have together received 3.2k indexed citations. Recurring topics across this work include Diabetes Management and Research (78 papers), Mathematical Biology Tumor Growth (64 papers), Pancreatic function and diabetes (41 papers), Diabetes and associated disorders (28 papers), Angiogenesis and VEGF in Cancer (26 papers), Cancer, Hypoxia, and Metabolism (24 papers), Advanced Control Systems Optimization (22 papers) and Brain Tumor Detection and Classification (20 papers). The work is most often cited by research in Modeling and Simulation (535 citations), Computational Mathematics (58 citations), Endocrinology, Diabetes and Metabolism (431 citations), Control and Systems Engineering (644 citations) and Neurology (101 citations). Levente Kovács has collaborated with scholars based in Hungary, Romania and United States. Frequent co-authors include Dániel András Drexler, Zoltán Benyó, Johanna Sápi, Tamás Haidegger, Balázs Benyó, György Eigner, Tamás Ferenci, Imre J. Rudas, Radu‐Emil Precup and Ștefan Preitl. Their work appears in journals such as Acta Polytechnica Hungarica, Complexity, PLoS ONE, Sensors and Computer Methods and Programs in Biomedicine.
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.