Joseph Tassarotti

51 total papers · 625 total citations
23 papers, 307 citations indexed

About

Joseph Tassarotti is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Joseph Tassarotti has authored 23 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 9 papers in Computational Theory and Mathematics. Recurrent topics in Joseph Tassarotti's work include Distributed systems and fault tolerance (10 papers), Formal Methods in Verification (8 papers) and Logic, programming, and type systems (8 papers). Joseph Tassarotti is often cited by papers focused on Distributed systems and fault tolerance (10 papers), Formal Methods in Verification (8 papers) and Logic, programming, and type systems (8 papers). Joseph Tassarotti collaborates with scholars based in United States, Denmark and Germany. Joseph Tassarotti's co-authors include Jean-Baptiste Tristan, Derek Dreyer, Edward Gan, Greg Morrisett, Gang Tan, Robbert Krebbers, Viktor Vafeiadis, Tej Chajed, M. Frans Kaashoek and Nickolai Zeldovich and has published in prestigious journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages and Clark Digital Commons (Clark University).

In The Last Decade

Joseph Tassarotti

21 papers receiving 302 citations

Author Peers

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

Author						Papers	Cites
Joseph Tassarotti	252	148	86	80	58	23	307
John D. Ramsdell	265 1.1×	107 0.7×	85 1.0×	64 0.8×	86 1.5×	20	346
Ramana Kumar	272 1.1×	66 0.4×	152 1.8×	81 1.0×	37 0.6×	18	302
Vilhelm Sjöberg	284 1.1×	103 0.7×	103 1.2×	75 0.9×	76 1.3×	23	315
Tej Chajed	190 0.8×	236 1.6×	43 0.5×	97 1.2×	43 0.7×	19	328
Gordon Stewart	189 0.8×	72 0.5×	93 1.1×	59 0.7×	34 0.6×	24	223
Juan Chen	237 0.9×	69 0.5×	88 1.0×	46 0.6×	53 0.9×	22	260
Sandrine Blazy	276 1.1×	68 0.5×	152 1.8×	91 1.1×	57 1.0×	24	334
Amin Timany	304 1.2×	155 1.0×	160 1.9×	59 0.7×	31 0.5×	26	344
Jérémie Koenig	222 0.9×	138 0.9×	69 0.8×	75 0.9×	39 0.7×	14	259
Gregory Malecha	238 0.9×	84 0.6×	128 1.5×	68 0.8×	46 0.8×	23	295

Countries citing papers authored by Joseph Tassarotti

Since Specialization

Citations

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

Fields of papers citing papers by Joseph Tassarotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joseph Tassarotti

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