Joseph Tassarotti
- Artificial Intelligence top 5%
- Computer Networks and Communications top 10%
- Computational Theory and Mathematics top 5%
- Hardware and Architecture top 10%
- Signal Processing top 10%
- Co-authors
- Jean-Baptiste TristanDerek DreyerGreg MorrisettEdward GanGang TanRobbert KrebbersViktor VafeiadisTej Chajed
- Topics
- Distributed systems and fault tolerance (10 papers)Logic, programming, and type systems (8 papers)Formal Methods in Verification (8 papers)
- Journals
- ACM SIGPLAN NoticesProceedings of the ACM on Programming LanguagesRadboud Repository (Radboud University)
- Partner nations
- United StatesDenmarkGermany
In The Last Decade
Joseph Tassarotti
21 papers receiving 303 citations
Peers
Comparison fields: 5 of 23
- Artificial Intelligence 253
- Computer Networks and Communications 149
- Computational Theory and Mathematics 86
- Hardware and Architecture 80
- Signal Processing 58
Countries citing papers authored by Joseph Tassarotti
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 8 | |
| 8 | 1 | |
| 9 | 15 | |
| 10 | 10 | |
| 11 | GoJournal: a verified, concurrent, crash-safe journaling system | 2 |
| 12 | 8 | |
| 13 | 35 | |
| 14 | 53 | |
| 15 | Efficient Training of LDA on a GPU by Mean-for-Mode Estimation | 10 |
| 16 | 6 | |
| 17 | 25 | |
| 18 | Augur: Data-Parallel Probabilistic Modeling | 11 |
| 19 | 11 | |
| 20 | 83 |
About Joseph Tassarotti
Joseph Tassarotti is a scholar working on Hardware and Architecture, Artificial Intelligence and Computational Theory and Mathematics, having authored 24 papers that have together received 308 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (10 papers), Logic, programming, and type systems (8 papers) and Formal Methods in Verification (8 papers). The work is most often cited by research in Hardware and Architecture (80 citations), Artificial Intelligence (253 citations) and Software (27 citations). Joseph Tassarotti has collaborated with scholars based in United States, Denmark and Germany. Frequent co-authors include Jean-Baptiste Tristan, Derek Dreyer, Greg Morrisett, Edward Gan, Gang Tan, Robbert Krebbers, Viktor Vafeiadis, Tej Chajed, M. Frans Kaashoek and Nickolai Zeldovich. Their work appears in journals such as ACM SIGPLAN Notices, Proceedings of the ACM on Programming Languages and Radboud Repository (Radboud University).
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.