Thomas E. Potok
Impact in
- Artificial Intelligence top 2%
- Metaheuristic Optimization Algorithms Research
- Advanced Clustering Algorithms Research
- Neural Networks and Reservoir Computing
- Quantum Computing Algorithms and Architecture
- Text and Document Classification Technologies
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
-
- Neural Networks and Reservoir Computing 16
- Advanced Clustering Algorithms Research 10
- Metaheuristic Optimization Algorithms Research 8
- Semantic Web and Ontologies 8
- Co-authors
- Xiaohui Cui (26 shared papers)Robert M. Patton (55 shared papers)Catherine D. Schuman (33 shared papers)J. Parker Mitchell (10 shared papers)Prasanna Date (15 shared papers)Jinzhu Gao (1 shared paper)Steven R. Young (15 shared papers)Ali R. Hurson (6 shared papers)
- Journals
- D-Lib Magazine (2 papers)Scientific Reports (2 papers)IBM Systems Journal (1 paper)IEEE Internet Computing (1 paper)Software Practice and Experience (1 paper)
- Partner nations
- United StatesCanadaChile
In The Last Decade
Thomas E. Potok
119 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 117
- Artificial Intelligence 924
- Signal Processing 146
- Information Systems 294
- Computer Vision and Pattern Recognition 264
- Computer Networks and Communications 245
Countries citing papers authored by Thomas E. Potok
This map shows the geographic impact of Thomas E. Potok'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 Thomas E. Potok with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas E. Potok more than expected).
Fields of papers citing papers by Thomas E. Potok
This network shows the impact of papers produced by Thomas E. Potok. 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 Thomas E. Potok. The network helps show where Thomas E. Potok may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas E. Potok, 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 271 | |
| 2 | 2006 | 111 | |
| 3 | 2006 | 89 | |
| 4 | 2020 | 74 | |
| 5 | 2019 | 53 | |
| 6 | 2018 | 52 | |
| 7 | 2015 | 48 | |
| 8 | 2020 | 40 | |
| 9 | 2017 | 37 | |
| 10 | 2006 | 35 | |
| 11 | 2020 | 27 | |
| 12 | 2018 | 23 | |
| 13 | 2020 | 23 | |
| 14 | 2010 | 23 | |
| 15 | 2007 | 23 | |
| 16 | 1999 | 21 | |
| 17 | 2021 | 21 | |
| 18 | 2010 | 21 | |
| 19 | 2018 | 20 | |
| 20 | 2005 | 20 |
About Thomas E. Potok
Thomas E. Potok is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications, having authored 126 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (27 papers), Ferroelectric and Negative Capacitance Devices (25 papers), Neural Networks and Reservoir Computing (16 papers), Data Management and Algorithms (10 papers), Advanced Clustering Algorithms Research (10 papers), Complex Network Analysis Techniques (9 papers), Metaheuristic Optimization Algorithms Research (8 papers) and Semantic Web and Ontologies (8 papers). The work is most often cited by research in Artificial Intelligence (924 citations), Signal Processing (146 citations), Information Systems (294 citations), Computer Vision and Pattern Recognition (264 citations) and Computer Networks and Communications (245 citations). Thomas E. Potok has collaborated with scholars based in United States, Canada and Chile. Frequent co-authors include Xiaohui Cui, Robert M. Patton, Catherine D. Schuman, J. Parker Mitchell, Prasanna Date, Jinzhu Gao, Steven R. Young, Ali R. Hurson, Yu Jiao and Frank Mueller. Their work appears in journals such as D-Lib Magazine, Scientific Reports, IBM Systems Journal, IEEE Internet Computing and Software Practice and Experience.
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.