Simone Faro

914 citations
76 papers · 584 · h-index 14

Impact in

Papers in

Simone Faro

70 papers receiving 566 citations

Peers

Simone Faro
Comparison fields: 5 of 42
  • Hardware and Architecture 329
  • Artificial Intelligence 530
  • Computational Theory and Mathematics 129
  • Molecular Biology 241
  • Information Systems 71
Replace Daniel M. Sunday with:
Daniel M. Sunday United States
Jeong Seop Sim South Korea
Christophe Hancart France
Ge Nong China
Jan Holub Czechia
Kimmo Fredriksson Finland
Paweł Gawrychowski Poland
Jakub Radoszewski Poland
Noa Lewenstein Israel
Djamal Belazzougui Finland
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Citations per field
00.5×10×14×
Daniel M. Sunday · 1×
Citations per year

Countries citing papers authored by Simone Faro

Since Specialization
Citations

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

Fields of papers citing papers by Simone Faro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Simone Faro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Simone Faro Line = papers co-authored together Simone Faro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013108
2 200939
3 200326
4 201220
5 201220
6 200918
7 201216
8 200916
9 200415
10 201215
11 201414
12 200514
13 201313
14
Approximate String Matching Allowing for Inversions and Translocations.
201013
15 201113
16 200911
17 201011
18 201611
19 202011
20 201211

About Simone Faro

Simone Faro is a scholar working on Artificial Intelligence, Hardware and Architecture, Molecular Biology, Computational Theory and Mathematics and Signal Processing, having authored 76 papers that have together received 584 indexed citations. Recurring topics across this work include Algorithms and Data Compression (66 papers), Network Packet Processing and Optimization (38 papers), DNA and Biological Computing (22 papers), semigroups and automata theory (20 papers), Natural Language Processing Techniques (19 papers), Genomics and Phylogenetic Studies (7 papers), Quantum Computing Algorithms and Architecture (6 papers) and RNA and protein synthesis mechanisms (4 papers). The work is most often cited by research in Hardware and Architecture (329 citations), Artificial Intelligence (530 citations), Computational Theory and Mathematics (129 citations), Molecular Biology (241 citations) and Information Systems (71 citations). Simone Faro has collaborated with scholars based in Italy, France and Türkiye. Frequent co-authors include Thierry Lecroq, Domenico Cantone, Elisa Pappalardo, Szymon Grabowski, Matteo Campanelli, Kunsoo Park, Jorma Tarhio, Geonmo Gu, Dario Catalano and Mario Di Raimondo. Their work appears in journals such as International Journal of Foundations of Computer Science, Theoretical Computer Science, Lecture notes in computer science, Discrete Applied Mathematics and The Computer Journal.

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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