Sheila A. Greibach

90 total papers · 3.7k total citations
73 papers, 2.3k citations indexed

About

Sheila A. Greibach is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Sheila A. Greibach has authored 73 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computational Theory and Mathematics, 54 papers in Artificial Intelligence and 27 papers in Molecular Biology. Recurrent topics in Sheila A. Greibach's work include semigroups and automata theory (67 papers), DNA and Biological Computing (24 papers) and Logic, programming, and type systems (23 papers). Sheila A. Greibach is often cited by papers focused on semigroups and automata theory (67 papers), DNA and Biological Computing (24 papers) and Logic, programming, and type systems (23 papers). Sheila A. Greibach collaborates with scholars based in United States, Israel and Denmark. Sheila A. Greibach's co-authors include Seymour Ginsburg, Michael A. Harrison, Ronald V. Book, John E. Hopcroft, Emily P. Friedman, Ben Wegbreit, Shimon Even, Celia Wrathall, Jonathan Goldstine and Óscar H. Ibarra and has published in prestigious journals such as Communications of the ACM, Journal of the ACM and IEEE Transactions on Computers.

In The Last Decade

Sheila A. Greibach

70 papers receiving 1.9k citations

Author Peers

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

Author Last Decade Papers Cites
Sheila A. Greibach 2.1k 1.7k 788 77 62 73 2.3k
Karel Čulík 1.6k 0.7× 883 0.5× 745 0.9× 147 1.9× 27 0.4× 142 1.9k
Maurice Nivat 1.8k 0.8× 1.6k 0.9× 220 0.3× 127 1.6× 76 1.2× 101 2.3k
Ronald V. Book 1.9k 0.9× 1.3k 0.8× 330 0.4× 144 1.9× 30 0.5× 101 2.1k
Jean Berstel 1.4k 0.7× 1.1k 0.6× 427 0.5× 67 0.9× 22 0.4× 57 1.7k
Joost Engelfriet 1.9k 0.9× 1.6k 0.9× 398 0.5× 220 2.9× 233 3.8× 111 2.3k
Robert McNaughton 1.5k 0.7× 1.3k 0.7× 324 0.4× 456 5.9× 85 1.4× 51 2.4k
J. C. Shepherdson 1.1k 0.5× 1.0k 0.6× 108 0.1× 114 1.5× 66 1.1× 56 1.6k
Richard Beigel 1.3k 0.6× 1.0k 0.6× 142 0.2× 284 3.7× 9 0.1× 97 1.7k
Jesse B. Wright 1.2k 0.6× 1.2k 0.7× 111 0.1× 155 2.0× 121 2.0× 32 1.5k
Janusz Brzozowski 1.5k 0.7× 1.1k 0.7× 347 0.4× 155 2.0× 124 2.0× 120 1.9k

Countries citing papers authored by Sheila A. Greibach

Since Specialization
Citations

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

Fields of papers citing papers by Sheila A. Greibach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sheila A. Greibach. 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 Sheila A. Greibach. The network helps show where Sheila A. Greibach may publish in the future.

Co-authorship network of co-authors of Sheila A. Greibach

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