Joel Seiferas

39 papers and 665 indexed citations i.

About

Joel Seiferas is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Joel Seiferas has authored 39 papers receiving a total of 665 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computational Theory and Mathematics, 20 papers in Artificial Intelligence and 7 papers in Molecular Biology. Recurrent topics in Joel Seiferas’s work include semigroups and automata theory (17 papers), Algorithms and Data Compression (16 papers) and Computability, Logic, AI Algorithms (15 papers). Joel Seiferas is often cited by papers focused on semigroups and automata theory (17 papers), Algorithms and Data Compression (16 papers) and Computability, Logic, AI Algorithms (15 papers). Joel Seiferas collaborates with scholars based in United States, Israel and The Netherlands. Joel Seiferas's co-authors include Zvi Galil, Ming Zhong, Kai Shen, Albert R. Meyer, Michael J. Fischer, Anselm Blumer, Andrzej Ehrenfeucht, David Haussler, Janoš Šimon and Wolfgang J. Paul and has published in prestigious journals such as Journal of the ACM, IEEE Transactions on Computers and SIAM Journal on Computing.

In The Last Decade

Co-authorship network of co-authors of Joel Seiferas i

Fields of papers citing papers by Joel Seiferas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Joel Seiferas

Since Specialization
Citations

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