Luca Roversi

472 citations
16 papers · 143 · h-index 7

Impact in

    • Formal Methods in Verification
    • Computability, Logic, AI Algorithms
    • Advanced Algebra and Logic
    • semigroups and automata theory
    • Logic, programming, and type systems
    • Logic, Reasoning, and Knowledge
    • Quantum Computing Algorithms and Architecture

Papers in

Luca Roversi

14 papers receiving 134 citations

Peers

Luca Roversi
Comparison fields: 5 of 30
  • Computational Theory and Mathematics 111
  • Artificial Intelligence 120
  • Software 6
  • Hardware and Architecture 10
  • Computer Networks and Communications 15
Replace Paula Severi with:
Paula Severi United Kingdom
Kevin Millikin Denmark
Vasileios Koutavas Ireland
Luís Pinto Portugal
Naoki Nishida Japan
Martin Avanzini Austria
Damien Pous France
Silvia Ghilezan Serbia
Hans de Nivelle Germany
Paul Hoogendijk Netherlands
Luca Roversi relative to Paula Severi United Kingdom Paula Severi's profile →
Citations per field
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Paula Severi · 1×
Citations per year

Countries citing papers authored by Luca Roversi

Since Specialization
Citations

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

Fields of papers citing papers by Luca Roversi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Luca Roversi, 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 Luca Roversi Line = papers co-authored together Luca Roversi links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200247
2 200131
3 199713
4 201611
5 19996
6 20196
7 20186
8 20005
9 20185
10 20124
11 20144
12 20102
13
Proceedings of the 7th Italian Conference on Theoretical Computer Science
20012
14
The fixed point problem for general and for linear SRL programs is undecidable
20181
15 20150
16 20190

About Luca Roversi

Luca Roversi is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Hardware and Architecture, Computer Networks and Communications and Numerical Analysis, having authored 16 papers that have together received 143 indexed citations. Recurring topics across this work include Logic, programming, and type systems (9 papers), Computability, Logic, AI Algorithms (8 papers), Formal Methods in Verification (7 papers), Logic, Reasoning, and Knowledge (7 papers), Parallel Computing and Optimization Techniques (3 papers), Quantum Computing Algorithms and Architecture (3 papers), Numerical Methods and Algorithms (2 papers) and Advanced Optimization Algorithms Research (1 paper). The work is most often cited by research in Computational Theory and Mathematics (111 citations), Artificial Intelligence (120 citations), Software (6 citations), Hardware and Architecture (10 citations) and Computer Networks and Communications (15 citations). Luca Roversi has collaborated with scholars based in Italy, Portugal and Netherlands. Frequent co-authors include Andrea Asperti, Simona Ronchi Della Rocca, Antonio Restivo, Luca Paolini, Elaine Pimentel and Marco Pedicini. Their work appears in journals such as Theoretical Computer Science, Science of Computer Programming, Studia Logica, Mathematical Structures in Computer Science and ACM Transactions on Computational Logic.

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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