Endre Kovács
Impact in
- Numerical Analysis top 5%
- Numerical methods for differential equations
- Differential Equations and Numerical Methods
- Modeling and Simulation top 5%
- Fractional Differential Equations Solutions
Papers in
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- Numerical methods for differential equations 19
- Differential Equations and Numerical Methods 15
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- Advanced Numerical Methods in Computational Mathematics 12
- Co-authors
- Ádám Nagy (13 shared papers)Gabriella Bognár (2 shared papers)Feodor V. Kusmartsev (2 shared papers)Zsolt Gulácsi (3 shared papers)Kâroly Jármai (3 shared papers)F. V. Kusmartsev (2 shared papers)Jae Dong Chung (1 shared paper)B. C. Prasannakumara (1 shared paper)
In The Last Decade
Endre Kovács
52 papers receiving 315 citations
Peers
Comparison fields: 5 of 67
- Numerical Analysis 113
- Modeling and Simulation 41
- Building and Construction 66
- Environmental Engineering 55
- Computational Mechanics 72
Countries citing papers authored by Endre Kovács
This map shows the geographic impact of Endre 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 Endre Kovács with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Endre Kovács more than expected).
Fields of papers citing papers by Endre Kovács
This network shows the impact of papers produced by Endre 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 Endre Kovács. The network helps show where Endre Kovács may publish in the future.
Co-authors
The 19 scholars most cited alongside Endre 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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 25 | |
| 2 | 2021 | 20 | |
| 3 | 2021 | 18 | |
| 4 | 2023 | 18 | |
| 5 | 2021 | 17 | |
| 6 | 2022 | 15 | |
| 7 | 2020 | 14 | |
| 8 | 2021 | 12 | |
| 9 | 2022 | 10 | |
| 10 | 2023 | 10 | |
| 11 | 2022 | 10 | |
| 12 | 2020 | 9 | |
| 13 | 2023 | 8 | |
| 14 | 2024 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2022 | 6 | |
| 18 | 2006 | 6 | |
| 19 | 2022 | 6 | |
| 20 | 2022 | 6 |
About Endre Kovács
Endre Kovács is a scholar working on Numerical Analysis, Computational Mechanics, Computational Theory and Mathematics, Building and Construction and Mechanical Engineering, having authored 62 papers that have together received 324 indexed citations. Recurring topics across this work include Numerical methods for differential equations (19 papers), Differential Equations and Numerical Methods (15 papers), Advanced Numerical Methods in Computational Mathematics (12 papers), Building Energy and Comfort Optimization (10 papers), Numerical methods in inverse problems (7 papers), Electromagnetic Simulation and Numerical Methods (6 papers), Heat Transfer and Optimization (6 papers) and Advanced Mathematical Modeling in Engineering (5 papers). The work is most often cited by research in Numerical Analysis (113 citations), Modeling and Simulation (41 citations), Building and Construction (66 citations), Environmental Engineering (55 citations) and Computational Mechanics (72 citations). Endre Kovács has collaborated with scholars based in Hungary, Iraq and Syria. Frequent co-authors include Ádám Nagy, Gabriella Bognár, Feodor V. Kusmartsev, Zsolt Gulácsi, Kâroly Jármai, F. V. Kusmartsev, Jae Dong Chung, B. C. Prasannakumara, K. E. Kürten and K. Tőkési. Their work appears in journals such as Buildings, Advanced Theory and Simulations, Results in Engineering, Numerical Methods for Partial Differential Equations and International Journal of Thermofluids.
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.