Thomas E. Potok

2.5k citations
120 papers · 1.6k · h-index 20

Impact in

    • Metaheuristic Optimization Algorithms Research
    • Advanced Clustering Algorithms Research
    • Neural Networks and Reservoir Computing
    • Quantum Computing Algorithms and Architecture
    • Text and Document Classification Technologies
    • Data Management and Algorithms

Papers in

    • Neural Networks and Reservoir Computing 15
    • Advanced Clustering Algorithms Research 10
    • Metaheuristic Optimization Algorithms Research 8
    • Semantic Web and Ontologies 7

Thomas E. Potok

114 papers receiving 1.4k citations

Peers

Thomas E. Potok
Comparison fields: 5 of 117
  • Artificial Intelligence 892
  • Signal Processing 150
  • Information Systems 299
  • Computer Vision and Pattern Recognition 258
  • Computer Networks and Communications 248
Replace Hanjun Dai with:
Hanjun Dai United States
Agostino Forestiero Italy
Frank Jiang Australia
Tao B. Schardl United States
Rodolfo Zunino Italy
Muhammad Asim Saudi Arabia
Lihua Yue China
Gregory L. Heileman United States
Luiza de Macedo Mourelle Brazil
Theodore L. Willke United States
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Citations per field
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Hanjun Dai · 1×
Citations per year

Countries citing papers authored by Thomas E. Potok

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Thomas E. Potok Line = papers co-authored together Thomas E. Potok links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 120 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005276
2 2006112
3 200690
4 202067
5 201850
6 201550
7 201949
8 202035
9 200635
10 201734
11 202025
12 200724
13 202022
14 201022
15 199921
16 201821
17
GPU-Accelerated Text Mining
200921
18 201021
19 202120
20 200520

About Thomas E. Potok

Thomas E. Potok is a scholar working on Artificial Intelligence, Information Systems, Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 120 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (24 papers), Ferroelectric and Negative Capacitance Devices (22 papers), Neural Networks and Reservoir Computing (15 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 (7 papers). The work is most often cited by research in Artificial Intelligence (892 citations), Signal Processing (150 citations), Information Systems (299 citations), Computer Vision and Pattern Recognition (258 citations) and Computer Networks and Communications (248 citations). Thomas E. Potok has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Xiaohui Cui, Robert M. Patton, Catherine D. Schuman, J. Parker Mitchell, Jinzhu Gao, Prasanna Date, Yu Jiao, Ali R. Hurson, Steven R. Young and Frederick T. Sheldon. Their work appears in journals such as D-Lib Magazine, ACM Journal on Emerging Technologies in Computing Systems, Journal of Systems Architecture, Photogrammetric Engineering & Remote Sensing and Scientific Reports.

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.

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