Thomas N. Hibbard

38 total papers · 461 total citations
22 papers, 248 citations indexed

About

Thomas N. Hibbard is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Global and Planetary Change. According to data from OpenAlex, Thomas N. Hibbard has authored 22 papers receiving a total of 248 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computational Theory and Mathematics, 9 papers in Artificial Intelligence and 7 papers in Global and Planetary Change. Recurrent topics in Thomas N. Hibbard's work include semigroups and automata theory (7 papers), Amphibian and Reptile Biology (7 papers) and Computability, Logic, AI Algorithms (6 papers). Thomas N. Hibbard is often cited by papers focused on semigroups and automata theory (7 papers), Amphibian and Reptile Biology (7 papers) and Computability, Logic, AI Algorithms (6 papers). Thomas N. Hibbard collaborates with scholars based in United States, Argentina and Germany. Thomas N. Hibbard's co-authors include Armin B. Cremers, Seymour Ginsburg, Joseph S. Ullian, Fernando Lobo, Diego Andrés Barrasso and Néstor G. Basso and has published in prestigious journals such as PLoS ONE, Communications of the ACM and IEEE Transactions on Software Engineering.

In The Last Decade

Thomas N. Hibbard

21 papers receiving 201 citations

Author Peers

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

Author Last Decade Papers Cites
Thomas N. Hibbard 153 117 56 47 33 22 248
Marcin Mucha 46 0.3× 143 1.2× 24 0.4× 86 1.8× 11 0.3× 32 285
Jean‐Louis Giavitto 37 0.2× 70 0.6× 131 2.3× 43 0.9× 11 0.3× 31 260
Beatriz Pateiro‐López 65 0.4× 27 0.2× 21 0.4× 10 0.2× 21 0.6× 24 326
Jean-Gabriel Young 56 0.4× 41 0.4× 54 1.0× 25 0.5× 10 0.3× 37 331
A. J. Field 65 0.4× 33 0.3× 24 0.4× 82 1.7× 6 0.2× 27 242
Miriam Baglioni 55 0.4× 18 0.2× 47 0.8× 30 0.6× 10 0.3× 16 239
Janne H. Korhonen 64 0.4× 76 0.6× 136 2.4× 57 1.2× 4 0.1× 20 322
Andreas Ruttor 150 1.0× 42 0.4× 95 1.7× 20 0.4× 4 0.1× 19 264
Bruno Zanuttini 106 0.7× 78 0.7× 55 1.0× 72 1.5× 8 0.2× 27 302
Thomas Hütter 75 0.5× 44 0.4× 28 0.5× 18 0.4× 3 0.1× 14 291

Countries citing papers authored by Thomas N. Hibbard

Since Specialization
Citations

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

Fields of papers citing papers by Thomas N. Hibbard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas N. Hibbard

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas N. Hibbard. A scholar is included among the top collaborators of Thomas N. Hibbard 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 N. Hibbard. Thomas N. Hibbard 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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