Imre Felde
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Mechanical Engineering top 5%
- Microstructure and Mechanical Properties of Steels
- Additive Manufacturing Materials and Processes
- High Entropy Alloys Studies
- Welding Techniques and Residual Stresses
Papers in ⓘ
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- Heat Transfer and Optimization 19
- Microstructure and Mechanical Properties of Steels 13
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- Metallurgy and Material Forming 12
- Co-authors
- Amir Mosavi (14 shared papers)Gergő Pintér (11 shared papers)Tamás Réti (15 shared papers)Sándor Szénási (24 shared papers)Richard Gloaguen (2 shared papers)Pedram Ghamisi (2 shared papers)Z. Fried (9 shared papers)László Nádai (14 shared papers)
In The Last Decade
Imre Felde
87 papers receiving 886 citations
Peers
Comparison fields: 5 of 116
- Modeling and Simulation 101
- Mechanical Engineering 388
- Health Informatics 10
- Health Information Management 33
- Transportation 45
Countries citing papers authored by Imre Felde
This map shows the geographic impact of Imre Felde'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 Imre Felde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Imre Felde more than expected).
Fields of papers citing papers by Imre Felde
This network shows the impact of papers produced by Imre Felde. 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 Imre Felde. The network helps show where Imre Felde may publish in the future.
Co-authors
The 25 scholars most cited alongside Imre Felde, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 169 | |
| 2 | 2001 | 65 | |
| 3 | 2003 | 52 | |
| 4 | 2020 | 50 | |
| 5 | 2009 | 40 | |
| 6 | 2021 | 29 | |
| 7 | 2013 | 28 | |
| 8 | 2020 | 26 | |
| 9 | 2020 | 26 | |
| 10 | 2022 | 25 | |
| 11 | 2020 | 24 | |
| 12 | 1999 | 23 | |
| 13 | 1997 | 23 | |
| 14 | 2020 | 20 | |
| 15 | 2020 | 19 | |
| 16 | 2005 | 18 | |
| 17 | 2018 | 14 | |
| 18 | 1999 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2022 | 13 |
About Imre Felde
Imre Felde is a scholar working on Mechanical Engineering, Mechanics of Materials, Computational Mechanics, Artificial Intelligence and Transportation, having authored 100 papers that have together received 936 indexed citations. Recurring topics across this work include Heat Transfer and Optimization (19 papers), Microstructure and Mechanical Properties of Steels (13 papers), Metallurgy and Material Forming (12 papers), Human Mobility and Location-Based Analysis (10 papers), Metal Alloys Wear and Properties (9 papers), Traffic Prediction and Management Techniques (8 papers), Laser and Thermal Forming Techniques (8 papers) and Advanced Multi-Objective Optimization Algorithms (7 papers). The work is most often cited by research in Modeling and Simulation (101 citations), Mechanical Engineering (388 citations), Health Informatics (10 citations), Health Information Management (33 citations) and Transportation (45 citations). Imre Felde has collaborated with scholars based in Hungary, Iran and Slovakia. Frequent co-authors include Amir Mosavi, Gergő Pintér, Tamás Réti, Sándor Szénási, Richard Gloaguen, Pedram Ghamisi, Z. Fried, László Nádai, Sina Ardabili and R. Vilar. Their work appears in journals such as Acta Polytechnica Hungarica, Computational Materials Science, Electronics, Metals and Defect and diffusion forum/Diffusion and defect data, solid state data. Part A, Defect and diffusion forum.
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.