Stephen Verzi
Impact in
- Artificial Intelligence top 10%
- Neural Networks and Applications
- Fuzzy Logic and Control Systems
- Neural Networks and Reservoir Computing
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- Smoking Behavior and Cessation
Papers in
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- Neural Networks and Applications 10
- Fuzzy Logic and Control Systems 5
- Neural Networks and Reservoir Computing 4
- Machine Learning and Data Classification 4
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- Neural dynamics and brain function 6
- Co-authors
- Gregory L. Heileman (13 shared papers)Michael Georgiopoulos (8 shared papers)Eric D. Vugrin (6 shared papers)Craig M. Vineyard (11 shared papers)James B. Aimone (7 shared papers)Nancy S. Brodsky (4 shared papers)Brian L. Rostron (3 shared papers)M. J. R. Healy (6 shared papers)
- Journals
- Computational and Mathematical Organization Theory (2 papers)Prehospital and Disaster Medicine (1 paper)Neural Networks (1 paper)Journal of Simulation (1 paper)Natural Language Engineering (1 paper)
- Partner nations
- United States
In The Last Decade
Stephen Verzi
40 papers receiving 486 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 188
- Physiology 133
- Emergency Medical Services 30
- Cognitive Neuroscience 65
- Signal Processing 28
Countries citing papers authored by Stephen Verzi
This map shows the geographic impact of Stephen Verzi'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 Stephen Verzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Verzi more than expected).
Fields of papers citing papers by Stephen Verzi
This network shows the impact of papers produced by Stephen Verzi. 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 Stephen Verzi. The network helps show where Stephen Verzi may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Verzi, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 115 | |
| 2 | 2019 | 69 | |
| 3 | 2015 | 45 | |
| 4 | 2015 | 34 | |
| 5 | 2002 | 26 | |
| 6 | 2004 | 19 | |
| 7 | 2002 | 17 | |
| 8 | 2018 | 15 | |
| 9 | 2003 | 15 | |
| 10 | 2005 | 14 | |
| 11 | 2008 | 13 | |
| 12 | Complex Adaptive Systems of Systems (CASoS) Engineering: Mapping Aspirations to Problem Solutions. | 2011 | 13 |
| 13 | 2020 | 12 | |
| 14 | 2011 | 9 | |
| 15 | 2015 | 9 | |
| 16 | 2004 | 9 | |
| 17 | 2009 | 7 | |
| 18 | 2002 | 7 | |
| 19 | 2017 | 6 | |
| 20 | 2021 | 5 |
About Stephen Verzi
Stephen Verzi is a scholar working on Artificial Intelligence, Cognitive Neuroscience, Management Science and Operations Research, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering, having authored 46 papers that have together received 511 indexed citations. Recurring topics across this work include Neural Networks and Applications (10 papers), Neural dynamics and brain function (6 papers), Face and Expression Recognition (5 papers), Fuzzy Logic and Control Systems (5 papers), Complex Systems and Decision Making (5 papers), Advanced Memory and Neural Computing (4 papers), Neural Networks and Reservoir Computing (4 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Artificial Intelligence (188 citations), Physiology (133 citations), Emergency Medical Services (30 citations), Cognitive Neuroscience (65 citations) and Signal Processing (28 citations). Stephen Verzi has collaborated with scholars based in United States. Frequent co-authors include Gregory L. Heileman, Michael Georgiopoulos, Eric D. Vugrin, Craig M. Vineyard, James B. Aimone, Nancy S. Brodsky, Brian L. Rostron, M. J. R. Healy, Benjamin J. Apelberg and Antonio Paredes. Their work appears in journals such as Computational and Mathematical Organization Theory, Prehospital and Disaster Medicine, Neural Networks, Journal of Simulation and Natural Language Engineering.
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.