Leon Reznik
Impact in
- Artificial Intelligence top 5%
- Fuzzy Logic and Control Systems
- Neural Networks and Applications
- Anomaly Detection Techniques and Applications
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- Advanced Control Systems Design
- Advanced Control Systems Optimization
Papers in
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- Neural Networks and Applications 24
- Fuzzy Logic and Control Systems 18
- Anomaly Detection Techniques and Applications 8
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- Network Security and Intrusion Detection 11
- Energy Efficient Wireless Sensor Networks 8
- Co-authors
- Владик Крейнович (8 shared papers)Roman V. Yampolskiy (3 shared papers)Chris Quintana (2 shared papers)K.P. Dabke (1 shared paper)Greg Timms (2 shared papers)Paulo de Souza (2 shared papers)Michael Negnevitsky (4 shared papers)Justin Cappos (2 shared papers)
- Journals
- Measurement (2 papers)IEEE Sensors Journal (2 papers)IEEE Systems Journal (1 paper)Engineering Applications of Artificial Intelligence (1 paper)Applied Sciences (1 paper)
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
Leon Reznik
98 papers receiving 742 citations
Peers
Comparison fields: 5 of 98
- Artificial Intelligence 350
- Control and Systems Engineering 196
- Signal Processing 93
- Computer Networks and Communications 193
- Management Science and Operations Research 67
Countries citing papers authored by Leon Reznik
This map shows the geographic impact of Leon Reznik'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 Leon Reznik with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leon Reznik more than expected).
Fields of papers citing papers by Leon Reznik
This network shows the impact of papers produced by Leon Reznik. 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 Leon Reznik. The network helps show where Leon Reznik may publish in the future.
Co-authors
The 25 scholars most cited alongside Leon Reznik, 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 105 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 136 | |
| 2 | Gaussian membership functions are most adequate in representing uncertainty in measurements | 1992 | 52 |
| 3 | 2006 | 42 | |
| 4 | 2010 | 34 | |
| 5 | 2006 | 25 | |
| 6 | 2018 | 24 | |
| 7 | 2011 | 21 | |
| 8 | 1985 | 19 | |
| 9 | 2003 | 18 | |
| 10 | 2017 | 17 | |
| 11 | 2018 | 17 | |
| 12 | 2003 | 17 | |
| 13 | Fuzzy Controllers: How to Design Them, how They Work | 1997 | 15 |
| 14 | What non-linearity to choose? Mathematical foundations of fuzzy control | 1992 | 15 |
| 15 | 2018 | 15 | |
| 16 | 2005 | 14 | |
| 17 | 2008 | 13 | |
| 18 | 2008 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2005 | 11 |
About Leon Reznik
Leon Reznik is a scholar working on Artificial Intelligence, Computer Networks and Communications, Control and Systems Engineering, Electrical and Electronic Engineering and Signal Processing, having authored 105 papers that have together received 803 indexed citations. Recurring topics across this work include Neural Networks and Applications (24 papers), Fuzzy Logic and Control Systems (18 papers), Network Security and Intrusion Detection (11 papers), Energy Efficient Wireless Sensor Networks (8 papers), Anomaly Detection Techniques and Applications (8 papers), Data Quality and Management (8 papers), Advanced Malware Detection Techniques (8 papers) and Fault Detection and Control Systems (7 papers). The work is most often cited by research in Artificial Intelligence (350 citations), Control and Systems Engineering (196 citations), Signal Processing (93 citations), Computer Networks and Communications (193 citations) and Management Science and Operations Research (67 citations). Leon Reznik has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Владик Крейнович, Roman V. Yampolskiy, Chris Quintana, K.P. Dabke, Greg Timms, Paulo de Souza, Michael Negnevitsky, Justin Cappos, Sergey Edward Lyshevski and Daniel Smith. Their work appears in journals such as Measurement, IEEE Sensors Journal, IEEE Systems Journal, Engineering Applications of Artificial Intelligence and Applied Sciences.
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.