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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- Network Security and Intrusion Detection
- Energy Efficient Wireless Sensor Networks
Papers in ⓘ
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- Neural Networks and Applications 23
- Fuzzy Logic and Control Systems 13
- 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)Paulo de Souza (2 shared papers)Greg Timms (2 shared papers)Michael Negnevitsky (4 shared papers)Justin Cappos (2 shared papers)
- Journals
- Measurement (2 papers)IEEE Sensors Journal (2 papers)Engineering Applications of Artificial Intelligence (1 paper)Applied Sciences (1 paper)IEEE Transactions on Fuzzy Systems (1 paper)
- Partner nations
- United StatesAustraliaRussia
In The Last Decade
Leon Reznik
94 papers receiving 654 citations
Peers
Comparison fields: 5 of 91
- Artificial Intelligence 305
- Computer Networks and Communications 174
- Control and Systems Engineering 176
- Signal Processing 78
- Computer Science Applications 26
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 99 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 124 | |
| 2 | Gaussian membership functions are most adequate in representing uncertainty in measurements | 1992 | 45 |
| 3 | 2006 | 34 | |
| 4 | 2010 | 29 | |
| 5 | 2006 | 22 | |
| 6 | 2011 | 20 | |
| 7 | 2018 | 18 | |
| 8 | 2003 | 18 | |
| 9 | 2017 | 17 | |
| 10 | 2018 | 17 | |
| 11 | 1985 | 16 | |
| 12 | 2018 | 15 | |
| 13 | Fuzzy Controllers: How to Design Them, how They Work | 1997 | 13 |
| 14 | 2008 | 13 | |
| 15 | 2005 | 12 | |
| 16 | What non-linearity to choose? Mathematical foundations of fuzzy control | 1992 | 10 |
| 17 | 2020 | 10 | |
| 18 | 2008 | 10 | |
| 19 | 2005 | 9 | |
| 20 | 2023 | 8 |
About Leon Reznik
Leon Reznik is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Science Applications, Signal Processing and Management Science and Operations Research, having authored 99 papers that have together received 707 indexed citations. Recurring topics across this work include Neural Networks and Applications (23 papers), Fuzzy Logic and Control Systems (13 papers), Network Security and Intrusion Detection (11 papers), Advanced Malware Detection Techniques (8 papers), Data Quality and Management (8 papers), Energy Efficient Wireless Sensor Networks (8 papers), Anomaly Detection Techniques and Applications (8 papers) and Fault Detection and Control Systems (7 papers). The work is most often cited by research in Artificial Intelligence (305 citations), Computer Networks and Communications (174 citations), Control and Systems Engineering (176 citations), Signal Processing (78 citations) and Computer Science Applications (26 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, Paulo de Souza, Greg Timms, Michael Negnevitsky, Justin Cappos, Daniel Smith and Sergey Edward Lyshevski. Their work appears in journals such as Measurement, IEEE Sensors Journal, Engineering Applications of Artificial Intelligence, Applied Sciences and IEEE Transactions on Fuzzy Systems.
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.