Levente Kovács

4.7k total citations
429 papers, 3.2k citations indexed

About

Levente Kovács is a scholar working on Endocrinology, Diabetes and Metabolism, Modeling and Simulation and Molecular Biology. According to data from OpenAlex, Levente Kovács has authored 429 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Endocrinology, Diabetes and Metabolism, 66 papers in Modeling and Simulation and 65 papers in Molecular Biology. Recurrent topics in Levente Kovács's work include Diabetes Management and Research (82 papers), Mathematical Biology Tumor Growth (64 papers) and Pancreatic function and diabetes (42 papers). Levente Kovács is often cited by papers focused on Diabetes Management and Research (82 papers), Mathematical Biology Tumor Growth (64 papers) and Pancreatic function and diabetes (42 papers). Levente Kovács collaborates with scholars based in Hungary, Romania and United States. Levente Kovács's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Levente Kovács

372 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Levente Kovács Hungary 27 640 533 462 461 442 429 3.2k
Giuseppe De Nicolao Italy 46 3.5k 5.5× 475 0.9× 789 1.7× 1.8k 3.8× 2.2k 5.0× 277 8.3k
Francesco Pappalardo Italy 30 63 0.1× 342 0.6× 1.1k 2.4× 133 0.3× 34 0.1× 128 2.6k
Guosheng Yin Hong Kong 37 123 0.2× 124 0.2× 627 1.4× 136 0.3× 26 0.1× 208 4.6k
P. Balasubramaniam India 50 3.0k 4.6× 1.2k 2.3× 461 1.0× 767 1.7× 19 0.0× 387 9.6k
Imre J. Rudas Hungary 31 1.9k 2.9× 211 0.4× 63 0.1× 239 0.5× 36 0.1× 455 4.7k
Guoqiang Han China 37 204 0.3× 343 0.6× 281 0.6× 56 0.1× 16 0.0× 172 3.9k
Xiaoning Qian United States 23 114 0.2× 99 0.2× 680 1.5× 72 0.2× 12 0.0× 186 2.4k
Andreas Weber⋆ Germany 30 446 0.7× 83 0.2× 184 0.4× 27 0.1× 43 0.1× 144 3.3k
Zhennao Cai China 34 247 0.4× 54 0.1× 195 0.4× 86 0.2× 46 0.1× 83 4.1k
Bo Liu China 30 679 1.1× 35 0.1× 172 0.4× 115 0.2× 25 0.1× 237 4.2k

Countries citing papers authored by Levente Kovács

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Levente Kovács

This figure shows the co-authorship network connecting the top 25 collaborators of Levente Kovács. A scholar is included among the top collaborators of Levente Kovács 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 Levente Kovács. Levente Kovács 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.
Kovács, Levente, et al.. (2025). Mixed-effects Model Fitting Based on in vivo Data from Animal Experiments. Acta Polytechnica Hungarica. 22(10). 47–64. 1 indexed citations
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Kovács, Levente, et al.. (2024). Enhancing Brain Tumor Diagnosis with L-Net: A Novel Deep Learning Approach for MRI Image Segmentation and Classification. Biomedicines. 12(10). 2388–2388. 1 indexed citations
4.
Kovács, Levente, et al.. (2024). Detecting critical supervision intervals during in silico chemotherapy treatments. Acta Polytechnica Hungarica. 21(9). 247–261. 3 indexed citations
5.
Drexler, Dániel András, et al.. (2024). Personalized therapy using drug delivery devices. IFAC-PapersOnLine. 58(24). 550–555. 2 indexed citations
6.
Szilágyi, László, et al.. (2024). Reinforcement Learning: A Paradigm Shift in Personalized Blood Glucose Management for Diabetes. Biomedicines. 12(9). 2143–2143. 7 indexed citations
7.
Györök, György, et al.. (2024). A Driver Fatigue Recognition System, Based on an Artificial Neural Network. Acta Polytechnica Hungarica. 21(8). 211–226. 1 indexed citations
8.
Kovács, Levente, et al.. (2024). Brain Tumor Classification Using Convolutional Neural Networks and Deep Learning. 399–404. 1 indexed citations
9.
Eigner, György, et al.. (2024). Mobile Application Development for Diabetes Patient. 22. 559–564. 1 indexed citations
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Kovács, Levente, et al.. (2024). Artificial Neural Networks Based Cell Counting Techniques Using Microscopic Images: A Review. 327–332. 4 indexed citations
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Kovács, Levente, et al.. (2023). A generalized fuzzy-possibilistic c-means clustering algorithm. SHILAP Revista de lepidopterología. 15(2). 404–431. 1 indexed citations
15.
Baji, Petra, M. Farkas, Zsombor Zrubka, et al.. (2021). Comparing the measurement properties of the ICECAP-A and ICECAP-O instruments in ages 50–70: a cross-sectional study on a representative sample of the Hungarian general population. The European Journal of Health Economics. 22(9). 1453–1466. 5 indexed citations
16.
Zrubka, Zsombor, Óscar Brito Fernandes, Petra Baji, et al.. (2020). Exploring eHealth Literacy and Patient-Reported Experiences With Outpatient Care in the Hungarian General Adult Population: Cross-Sectional Study. Journal of Medical Internet Research. 22(8). e19013–e19013. 26 indexed citations
17.
Kovács, Levente & György Eigner. (2018). Tensor Product Model Transformation-based Parallel Distributed Control of Tumor Growth. Acta Polytechnica Hungarica. 15(3). 26 indexed citations
18.
Ferenci, Tamás, et al.. (2017). Infectious Hospital Agents: A HAI Spreading Simulation Framework. Acta Polytechnica Hungarica. 14(1). 4 indexed citations
19.
Eigner, György, József K. Tar, Imre J. Rudas, & Levente Kovács. (2016). LPV-based quality interpretations on modeling and control of diabetes. Acta Polytechnica Hungarica. 13(1). 21 indexed citations
20.
Takács, Árpád, Levente Kovács, Imre J. Rudas, Radu‐Emil Precup, & Tamás Haidegger. (2015). Models for Force Control in Telesurgical Robot Systems. Acta Polytechnica Hungarica. 12(8). 65 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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