Roberto Grossi
Impact in
- Hardware and Architecture top 1%
- Network Packet Processing and Optimization
- Artificial Intelligence top 1%
- Algorithms and Data Compression
- Natural Language Processing Techniques
Papers in
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- Algorithms and Data Compression 66
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- DNA and Biological Computing 33
- Co-authors
- Jeffrey Scott Vitter (10 shared papers)Paolo Ferragina (11 shared papers)Ankur Gupta (6 shared papers)Kunihiko Sadakane (4 shared papers)Giuseppe F. Italiano (5 shared papers)Andrea Marino (12 shared papers)Nadia Pisanti (17 shared papers)Raffaele Giancarlo (3 shared papers)
- Journals
- Theoretical Computer Science (10 papers)Information and Computation (5 papers)Discrete Applied Mathematics (4 papers)ACM Transactions on Algorithms (4 papers)SIAM Journal on Computing (4 papers)
- Partner nations
- ItalyFranceUnited States
In The Last Decade
Roberto Grossi
92 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 72
- Hardware and Architecture 469
- Artificial Intelligence 1.4k
- Computational Theory and Mathematics 397
- Signal Processing 255
- Computer Networks and Communications 388
Countries citing papers authored by Roberto Grossi
This map shows the geographic impact of Roberto Grossi'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 Roberto Grossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Grossi more than expected).
Fields of papers citing papers by Roberto Grossi
This network shows the impact of papers produced by Roberto Grossi. 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 Roberto Grossi. The network helps show where Roberto Grossi may publish in the future.
Co-authors
The 25 scholars most cited alongside Roberto Grossi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 303 | |
| 2 | 2005 | 227 | |
| 3 | 1999 | 167 | |
| 4 | 2000 | 87 | |
| 5 | 2005 | 62 | |
| 6 | 2006 | 43 | |
| 7 | 1997 | 43 | |
| 8 | 2004 | 38 | |
| 9 | 2006 | 36 | |
| 10 | 2005 | 33 | |
| 11 | 1989 | 32 | |
| 12 | 2012 | 32 | |
| 13 | 2006 | 26 | |
| 14 | 1993 | 25 | |
| 15 | 1995 | 23 | |
| 16 | 2016 | 22 | |
| 17 | 2014 | 22 | |
| 18 | 1996 | 20 | |
| 19 | 1999 | 20 | |
| 20 | 1996 | 19 |
About Roberto Grossi
Roberto Grossi is a scholar working on Artificial Intelligence, Molecular Biology, Computational Theory and Mathematics, Hardware and Architecture and Computer Networks and Communications, having authored 98 papers that have together received 1.7k indexed citations. Recurring topics across this work include Algorithms and Data Compression (66 papers), DNA and Biological Computing (33 papers), Network Packet Processing and Optimization (25 papers), semigroups and automata theory (12 papers), Cellular Automata and Applications (10 papers), Advanced Graph Theory Research (10 papers), Data Management and Algorithms (7 papers) and Graph Theory and Algorithms (7 papers). The work is most often cited by research in Hardware and Architecture (469 citations), Artificial Intelligence (1.4k citations), Computational Theory and Mathematics (397 citations), Signal Processing (255 citations) and Computer Networks and Communications (388 citations). Roberto Grossi has collaborated with scholars based in Italy, France and United States. Frequent co-authors include Jeffrey Scott Vitter, Paolo Ferragina, Ankur Gupta, Kunihiko Sadakane, Giuseppe F. Italiano, Andrea Marino, Nadia Pisanti, Raffaele Giancarlo, Alessio Conte and Giuseppe Ottaviano. Their work appears in journals such as Theoretical Computer Science, Information and Computation, Discrete Applied Mathematics, ACM Transactions on Algorithms and SIAM Journal on Computing.
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.