JEFFREY SHALLIT

13 papers and 200 indexed citations i.

About

JEFFREY SHALLIT is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Mathematical Physics. According to data from OpenAlex, JEFFREY SHALLIT has authored 13 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computational Theory and Mathematics, 10 papers in Artificial Intelligence and 3 papers in Mathematical Physics. Recurrent topics in JEFFREY SHALLIT’s work include semigroups and automata theory (11 papers), Algorithms and Data Compression (7 papers) and Computability, Logic, AI Algorithms (4 papers). JEFFREY SHALLIT is often cited by papers focused on semigroups and automata theory (11 papers), Algorithms and Data Compression (7 papers) and Computability, Logic, AI Algorithms (4 papers). JEFFREY SHALLIT collaborates with scholars based in Canada, France and Italy. JEFFREY SHALLIT's co-authors include Giovanni Pighizzini, Narad Rampersad, Émilie Charlier, Paweł Gawrychowski, Jean‐Paul Allouche, Luke Schaeffer, John Lawrence, Janusz Brzozowski, Jason P. Bell and Michael Domaratzki and has published in prestigious journals such as Information and Computation, Acta Mathematica Academiae Scientiarum Hungaricae and The Ramanujan Journal.

In The Last Decade

Co-authorship network of co-authors of JEFFREY SHALLIT i

Fields of papers citing papers by JEFFREY SHALLIT

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by JEFFREY SHALLIT

Since Specialization
Citations

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

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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2025