Thomas Gatterman

13 total papers · 730 total citations
2 papers, 214 citations indexed

About

Thomas Gatterman is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering. According to data from OpenAlex, Thomas Gatterman has authored 2 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 1 paper in Computational Theory and Mathematics and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Thomas Gatterman's work include Quantum Computing Algorithms and Architecture (2 papers), Quantum Information and Cryptography (2 papers) and Quantum-Dot Cellular Automata (1 paper). Thomas Gatterman is often cited by papers focused on Quantum Computing Algorithms and Architecture (2 papers), Quantum Information and Cryptography (2 papers) and Quantum-Dot Cellular Automata (1 paper). Thomas Gatterman collaborates with scholars based in United States. Thomas Gatterman's co-authors include Dominic Lucchetti, Aaron Hankin, Brian Neyenhuis, David Hayes, Kevin Gilmore, David Francois, Justin A. Gerber, Russell Stutz, Ciarán Ryan-Anderson and Dan Gresh and has published in prestigious journals such as Physical Review X.

In The Last Decade

Thomas Gatterman

2 papers receiving 204 citations

Hit Papers

Realization of Real-Time ... 2021 2026 2022 2024 2021 50 100 150 200

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Thomas Gatterman 192 107 44 37 8 2 214
David Francois 195 1.0× 110 1.0× 44 1.0× 37 1.0× 8 1.0× 5 217
Adam Paetznick 246 1.3× 115 1.1× 99 2.3× 35 0.9× 6 0.8× 5 273
David K. Tuckett 263 1.4× 138 1.3× 86 2.0× 44 1.2× 6 0.8× 4 287
Dripto M. Debroy 265 1.4× 168 1.6× 49 1.1× 41 1.1× 7 0.9× 10 297
George S. Barron 240 1.3× 114 1.1× 58 1.3× 24 0.6× 4 0.5× 8 258
Vicente Leyton‐Ortega 187 1.0× 76 0.7× 26 0.6× 20 0.5× 16 2.0× 4 194
I. Perminov 178 0.9× 145 1.4× 18 0.4× 38 1.0× 5 0.6× 4 226
Leo Zhou 200 1.0× 79 0.7× 67 1.5× 29 0.8× 7 0.9× 9 228
Marshall Drew-Brook 207 1.1× 73 0.7× 71 1.6× 23 0.6× 7 0.9× 3 253
Dan Gresh 239 1.2× 152 1.4× 52 1.2× 44 1.2× 11 1.4× 11 295

Countries citing papers authored by Thomas Gatterman

Since Specialization
Citations

This map shows the geographic impact of Thomas Gatterman'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 Gatterman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas Gatterman more than expected).

Fields of papers citing papers by Thomas Gatterman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Thomas Gatterman. 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 Gatterman. The network helps show where Thomas Gatterman may publish in the future.

Co-authorship network of co-authors of Thomas Gatterman

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Gatterman. A scholar is included among the top collaborators of Thomas Gatterman 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 Gatterman. Thomas Gatterman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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