Teague Tomesh

46 total papers · 599 total citations
17 papers, 213 citations indexed

About

Teague Tomesh is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Teague Tomesh has authored 17 papers receiving a total of 213 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Computational Theory and Mathematics and 3 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Teague Tomesh's work include Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (13 papers) and Quantum-Dot Cellular Automata (4 papers). Teague Tomesh is often cited by papers focused on Quantum Computing Algorithms and Architecture (15 papers), Quantum Information and Cryptography (13 papers) and Quantum-Dot Cellular Automata (4 papers). Teague Tomesh collaborates with scholars based in United States, Canada and Philippines. Teague Tomesh's co-authors include Margaret Martonosi, Pranav Gokhale, Martin Suchara, Frederic T. Chong, Yongshan Ding, Zain H. Saleem, Xin-Chuan Wu, Gokul Subramanian Ravi, Nikos Hardavellas and Kaitlin N. Smith and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Micro and Nature Cancer.

In The Last Decade

Teague Tomesh

13 papers receiving 204 citations

Author Peers

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

Author Last Decade Papers Cites
Teague Tomesh 194 80 45 28 21 17 213
Aniruddha Bapat 233 1.2× 132 1.6× 64 1.4× 11 0.4× 12 0.6× 11 274
Leo Zhou 200 1.0× 79 1.0× 67 1.5× 29 1.0× 7 0.3× 9 228
Ophelia Crawford 202 1.0× 135 1.7× 59 1.3× 29 1.0× 6 0.3× 11 256
Sofiène Jerbi 238 1.2× 65 0.8× 34 0.8× 34 1.2× 6 0.3× 11 277
F. A. Calderon-Vargas 235 1.2× 161 2.0× 41 0.9× 53 1.9× 6 0.3× 16 276
Shumpei Uno 208 1.1× 80 1.0× 46 1.0× 22 0.8× 6 0.3× 20 269
Changpeng Shao 201 1.0× 71 0.9× 59 1.3× 20 0.7× 8 0.4× 23 240
Yunong Shi 148 0.8× 60 0.8× 30 0.7× 38 1.4× 21 1.0× 18 181
George S. Barron 240 1.2× 114 1.4× 58 1.3× 24 0.9× 4 0.2× 8 258
Kostas Blekos 130 0.7× 74 0.9× 28 0.6× 26 0.9× 5 0.2× 16 206

Countries citing papers authored by Teague Tomesh

Since Specialization
Citations

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

Fields of papers citing papers by Teague Tomesh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Teague Tomesh

This figure shows the co-authorship network connecting the top 25 collaborators of Teague Tomesh. A scholar is included among the top collaborators of Teague Tomesh 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 Teague Tomesh. Teague Tomesh 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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