Janet Incerpi

6 papers and 125 indexed citations i.

About

Janet Incerpi is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Janet Incerpi has authored 6 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Networks and Communications and 2 papers in Computational Theory and Mathematics. Recurrent topics in Janet Incerpi’s work include Distributed and Parallel Computing Systems (2 papers), Logic, programming, and type systems (2 papers) and Algorithms and Data Compression (2 papers). Janet Incerpi is often cited by papers focused on Distributed and Parallel Computing Systems (2 papers), Logic, programming, and type systems (2 papers) and Algorithms and Data Compression (2 papers). Janet Incerpi collaborates with scholars based in France and United States. Janet Incerpi's co-authors include Bernard Chazelle, Robert Sedgewick, Valérie Pascual, Dominique Clément, Bernard Lang, Patrick Borras and Gilles Kahn and has published in prestigious journals such as ACM Transactions on Graphics, Journal of Computer and System Sciences and ACM SIGPLAN Notices.

In The Last Decade

Co-authorship network of co-authors of Janet Incerpi i

Fields of papers citing papers by Janet Incerpi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Janet Incerpi

Since Specialization
Citations

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