Nadia Busi

2.1k citations
52 papers · 518 · h-index 14

Impact in

Papers in

Nadia Busi

47 papers receiving 464 citations

Peers

Nadia Busi
Comparison fields: 5 of 40
  • Computational Theory and Mathematics 250
  • Management Information Systems 97
  • Computer Networks and Communications 221
  • Artificial Intelligence 259
  • Information Systems 128
Replace Ivan Lanese with:
Ivan Lanese Italy
Gianluigi Zavattaro Italy
Raymond Devillers Belgium
Chiara Bodei Italy
Alain Finkel France
Jean-Pierre Banâtre France
Éric Badouel France
Rüdiger Valk Germany
Andrea Vandin Italy
Paul C. Attie United States
Nadia Busi relative to Ivan Lanese Italy Ivan Lanese's profile →
Citations per field
00.5×1.5×1.9×
Ivan Lanese · 1×
Citations per year

Countries citing papers authored by Nadia Busi

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Busi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200054
2 199843
3 200429
4 200225
5 200624
6 200920
7 200919
8 200919
9 200419
10 200119
11 200018
12 200818
13
An iterative algorithm for applying the theory of regions in process mining
200717
14 199916
15 200613
16 200312
17 200312
18 20069
19 20049
20
Axiomatising ST-Bisimulation Equivalence
19948

About Nadia Busi

Nadia Busi is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Networks and Communications, Molecular Biology and Information Systems, having authored 52 papers that have together received 518 indexed citations. Recurring topics across this work include Distributed systems and fault tolerance (21 papers), Logic, programming, and type systems (20 papers), DNA and Biological Computing (17 papers), Formal Methods in Verification (15 papers), Petri Nets in System Modeling (9 papers), Logic, Reasoning, and Knowledge (8 papers), Service-Oriented Architecture and Web Services (7 papers) and semigroups and automata theory (5 papers). The work is most often cited by research in Computational Theory and Mathematics (250 citations), Management Information Systems (97 citations), Computer Networks and Communications (221 citations), Artificial Intelligence (259 citations) and Information Systems (128 citations). Nadia Busi has collaborated with scholars based in Italy, Spain and Netherlands. Frequent co-authors include Gianluigi Zavattaro, Roberto Gorrieri, G. Pinna, Cristian Versari, Andrea Asperti, Gianluigi Zavattaro, Roberto Lucchi, Paolo Baldan, Andrea Corradini and Claudio Guidi. Their work appears in journals such as Theoretical Computer Science, Mathematical Structures in Computer Science, The Journal of Logic and Algebraic Programming, Information and Computation and Performance Evaluation.

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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