Thomas G. Szymanski
- Artificial Intelligence top 1%
- Computational Theory and Mathematics top 1%
- Hardware and Architecture top 1%
- Computer Networks and Communications top 5%
- Molecular Biology
- Co-authors
- James A. StorerJeffrey D. UllmanHarry B. HuntYehoshua SagivChristopher J. Van WykDaniel J. RosenkrantzJohn H. WilliamsRobert Sedgewick
- Topics
- semigroups and automata theory (18 papers)Algorithms and Data Compression (15 papers)Natural Language Processing Techniques (11 papers)
- Partner nations
- United StatesPolandGermany
In The Last Decade
Thomas G. Szymanski
42 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 1.0k
- Computational Theory and Mathematics 504
- Hardware and Architecture 485
- Computer Networks and Communications 412
- Molecular Biology 388
Countries citing papers authored by Thomas G. Szymanski
This map shows the geographic impact of Thomas G. Szymanski'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 G. Szymanski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas G. Szymanski more than expected).
Fields of papers citing papers by Thomas G. Szymanski
This network shows the impact of papers produced by Thomas G. Szymanski. 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 G. Szymanski. The network helps show where Thomas G. Szymanski may publish in the future.
Co-authorship network of co-authors of Thomas G. Szymanski
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas G. Szymanski. A scholar is included among the top collaborators of Thomas G. Szymanski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Thomas G. Szymanski. Thomas G. Szymanski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 84 | |
| 3 | 17 | |
| 4 | 34 | |
| 5 | 370 | |
| 6 | 24 | |
| 7 | 12 | |
| 8 | 45 | |
| 9 | 21 | |
| 10 | 5 | |
| 11 | 8 | |
| 12 | 14 | |
| 13 | 6 | |
| 14 | 20 | |
| 15 | 72 | |
| 16 | 1 | |
| 17 | 4 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | Generalized bottom-up parsing. | 9 |
About Thomas G. Szymanski
Thomas G. Szymanski is a scholar working on Computational Theory and Mathematics, Hardware and Architecture and Computer Graphics and Computer-Aided Design, having authored 42 papers that have together received 1.8k indexed citations. Recurring topics across this work include semigroups and automata theory (18 papers), Algorithms and Data Compression (15 papers) and Natural Language Processing Techniques (11 papers). The work is most often cited by research in Hardware and Architecture (485 citations), Artificial Intelligence (1.0k citations) and Computational Theory and Mathematics (504 citations). Thomas G. Szymanski has collaborated with scholars based in United States, Poland and Germany. Frequent co-authors include James A. Storer, Jeffrey D. Ullman, Harry B. Hunt, Yehoshua Sagiv, Christopher J. Van Wyk, Daniel J. Rosenkrantz, John H. Williams, Robert Sedgewick, Erik M. Schmidt and Narendra Shenoy. Their work appears in journals such as Communications of the ACM, Journal of the ACM and SIAM Journal on Computing.
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.