István Dénes
- Statistics and Probability top 5%
- Signal Processing top 10%
- Artificial Intelligence top 10%
- Fuzzy Logic and Control Systems 2
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- Dielectric materials and actuators 5
- Advanced Sensor and Energy Harvesting Materials 5
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- Advanced DC-DC Converters 3
- Multilevel Inverters and Converters 2
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- Sensor Technology and Measurement Systems 3
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- Adaptive Control of Nonlinear Systems 2
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- Tactile and Sensory Interactions 2
- Co-authors
- Jan BeirlantLászló GyörfiMichael R. BuchmeiserI. NagyYao XueReimund GerhardIstván NagyB. Buti
- Journals
- Macromolecular Chemistry and Physics (2 papers)Macromolecular Materials and Engineering (1 paper)IET Science Measurement & Technology (1 paper)
- Partner nations
- GermanyHungaryNetherlands
In The Last Decade
István Dénes
12 papers receiving 421 citations
Peers
Comparison fields: 5 of 79
- Statistics and Probability 74
- Signal Processing 57
- Statistical and Nonlinear Physics 63
- Computer Vision and Pattern Recognition 99
- Artificial Intelligence 148
Countries citing papers authored by István Dénes
This map shows the geographic impact of István Dénes'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 Dénes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites István Dénes more than expected).
Fields of papers citing papers by István Dénes
This network shows the impact of papers produced by István Dénes. 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 Dénes. The network helps show where István Dénes may publish in the future.
Co-authorship network
The 10 scholars most cited alongside István Dénes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 3 | |
| 2 | 2018 | 2 | |
| 3 | 2016 | 11 | |
| 4 | 2016 | 6 | |
| 5 | 2016 | 5 | |
| 6 | 2015 | 12 | |
| 7 | 2012 | 2 | |
| 8 | Two models for the dynamic behaviour of a dual channel buck and boost DC-DC converter | 2003 | 11 |
| 9 | 2003 | 4 | |
| 10 | 2002 | 2 | |
| 11 | 2002 | 1 | |
| 12 | Nonparametric entropy estimation. An overview | 1997 | 395 |
About István Dénes
István Dénes is a scholar working on Biomedical Engineering, Computer Networks and Communications, Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering, having authored 12 papers that have together received 454 indexed citations. Recurring topics across this work include Dielectric materials and actuators (5 papers), Advanced Sensor and Energy Harvesting Materials (5 papers), Advanced DC-DC Converters (3 papers), Sensor Technology and Measurement Systems (3 papers), Fuzzy Logic and Control Systems (2 papers), Adaptive Control of Nonlinear Systems (2 papers), Multilevel Inverters and Converters (2 papers) and Tactile and Sensory Interactions (2 papers). The work is most often cited by research in Statistics and Probability (74 citations), Signal Processing (57 citations), Statistical and Nonlinear Physics (63 citations), Computer Vision and Pattern Recognition (99 citations) and Artificial Intelligence (148 citations). István Dénes has collaborated with scholars based in Germany, Hungary and Netherlands. Frequent co-authors include Jan Beirlant, László Györfi, Michael R. Buchmeiser, I. Nagy, Yao Xue, Reimund Gerhard, István Nagy, B. Buti, E. Masada and Péter Tamás Szemes. Their work appears in journals such as Macromolecular Chemistry and Physics, Macromolecular Materials and Engineering, IET Science Measurement & Technology, Engineering Research Express and Zenodo (CERN European Organization for Nuclear 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.