Adriano Peron

1.0k citations
70 papers · 375 · h-index 10

Impact in

Papers in

Adriano Peron

63 papers receiving 356 citations

Peers

Adriano Peron
Comparison fields: 5 of 67
  • Software 62
  • Computational Theory and Mathematics 195
  • Artificial Intelligence 206
  • Computer Networks and Communications 91
  • Information Systems 41
Replace Eugen Zălinescu with:
Eugen Zălinescu Switzerland
Anne Parrain France
Philippe Schnoebelen France
Roland Kaminski Germany
Yassine Lakhnech France
Vasco Manquinho Portugal
Zeynep Kiziltan Italy
Jamieson M. Cobleigh United States
Rom Langerak Netherlands
Ingrid Chieh Yu Norway
Adriano Peron relative to Eugen Zălinescu Switzerland Eugen Zălinescu's profile →
Citations per field
00.5×3.1×
Eugen Zălinescu · 1×
Citations per year

Countries citing papers authored by Adriano Peron

Since Specialization
Citations

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

Fields of papers citing papers by Adriano Peron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Adriano Peron, 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 Adriano Peron Line = papers co-authored together Adriano Peron links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201344
2 201931
3 201519
4 201018
5 201015
6 200215
7 200412
8 200011
9 200910
10 200410
11 20169
12 20039
13 20219
14 20148
15 20187
16
Model checking well-behaved fragments of HS: the (almost) final picture
20167
17 20147
18 20007
19 20187
20 20157

About Adriano Peron

Adriano Peron is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Software, Computer Networks and Communications and Information Systems, having authored 70 papers that have together received 375 indexed citations. Recurring topics across this work include Formal Methods in Verification (42 papers), Logic, programming, and type systems (24 papers), Logic, Reasoning, and Knowledge (21 papers), semigroups and automata theory (11 papers), Software Testing and Debugging Techniques (10 papers), Petri Nets in System Modeling (6 papers), Model-Driven Software Engineering Techniques (6 papers) and Geographic Information Systems Studies (5 papers). The work is most often cited by research in Software (62 citations), Computational Theory and Mathematics (195 citations), Artificial Intelligence (206 citations), Computer Networks and Communications (91 citations) and Information Systems (41 citations). Adriano Peron has collaborated with scholars based in Italy, Brazil and Spain. Frequent co-authors include Angelo Montanari, Laura Bozzelli, Massimo Benerecetti, Aniello Murano, Sergio Di Martino, Andrea Maggiolo–Schettini, Pietro Sala, Diego di Bernardo, Gennaro Gambardella and Luca Cardone. Their work appears in journals such as Theoretical Computer Science, Information and Computation, Bioinformatics, Journal of Applied Logic and Logical Methods in Computer Science.

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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