Ivan Lanese

3.0k total citations
52 papers, 488 citations indexed

About

Ivan Lanese is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics. According to data from OpenAlex, Ivan Lanese has authored 52 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 31 papers in Computer Networks and Communications and 23 papers in Computational Theory and Mathematics. Recurrent topics in Ivan Lanese's work include Distributed systems and fault tolerance (24 papers), Logic, programming, and type systems (19 papers) and Formal Methods in Verification (14 papers). Ivan Lanese is often cited by papers focused on Distributed systems and fault tolerance (24 papers), Logic, programming, and type systems (19 papers) and Formal Methods in Verification (14 papers). Ivan Lanese collaborates with scholars based in Italy, France and Denmark. Ivan Lanese's co-authors include Davide Sangiorgi, Fabrizio Montesi, Gianluigi Zavattaro, Ugo Montanari, Claudio Guidi, Vasco T. Vasconcelos, António Ravara, Emilio Tuosto, Claudio Antares Mezzina and Roberto Bruni and has published in prestigious journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Theoretical Computer Science.

In The Last Decade

Ivan Lanese

47 papers receiving 469 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ivan Lanese Italy 12 355 228 223 135 58 52 488
Mario Bravetti Italy 14 341 1.0× 303 1.3× 174 0.8× 115 0.9× 50 0.9× 63 529
Luı́s Caires Portugal 13 518 1.5× 344 1.5× 221 1.0× 92 0.7× 48 0.8× 34 603
Rob van Glabbeek Australia 14 428 1.2× 444 1.9× 120 0.5× 60 0.4× 31 0.5× 50 582
Paul C. Attie United States 13 175 0.5× 220 1.0× 280 1.3× 133 1.0× 90 1.6× 40 508
Alain Finkel France 8 229 0.6× 442 1.9× 104 0.5× 55 0.4× 66 1.1× 30 553
Chiara Bodei Italy 11 205 0.6× 88 0.4× 251 1.1× 186 1.4× 19 0.3× 59 418
Pascal Fradet France 14 480 1.4× 148 0.6× 233 1.0× 327 2.4× 83 1.4× 44 662
Carsten Sinz Germany 15 312 0.9× 242 1.1× 207 0.9× 168 1.2× 57 1.0× 52 567
Raymond Devillers Belgium 12 132 0.4× 438 1.9× 182 0.8× 64 0.5× 146 2.5× 75 582
Olaf Owe Norway 11 315 0.9× 158 0.7× 217 1.0× 98 0.7× 109 1.9× 73 450

Countries citing papers authored by Ivan Lanese

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Lanese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivan Lanese

This figure shows the co-authorship network connecting the top 25 collaborators of Ivan Lanese. A scholar is included among the top collaborators of Ivan Lanese based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ivan Lanese. Ivan Lanese is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lanese, Ivan, Daniel Balouek‐Thomert, Justus Bogner, et al.. (2025). AI Techniques in the Microservices Life-Cycle: a Systematic Mapping Study. Computing. 107(4). 2 indexed citations
2.
Bocchi, Laura, Ivan Lanese, Claudio Antares Mezzina, & Shoji Yuen. (2024). revTPL: The Reversible Temporal Process Language. Logical Methods in Computer Science. Volume 20, Issue 1.
3.
Lanese, Ivan, et al.. (2024). Reversible debugging of concurrent Erlang programs: Supporting imperative primitives. Journal of Logical and Algebraic Methods in Programming. 138. 100944–100944.
4.
Lanese, Ivan, Iain Phillips, & Irek Ulidowski. (2024). An Axiomatic Theory for Reversible Computation. ACM Transactions on Computational Logic. 25(2). 1–40. 1 indexed citations
5.
Barbanera, Franco, Ivan Lanese, & Emilio Tuosto. (2023). Composition of synchronous communicating systems. Journal of Logical and Algebraic Methods in Programming. 135. 100890–100890.
6.
Barbanera, Franco, Ivan Lanese, & Emilio Tuosto. (2023). A Theory of Formal Choreographic Languages. Logical Methods in Computer Science. Volume 19, Issue 3. 1 indexed citations
7.
Lanese, Ivan, et al.. (2021). Causal-Consistent Replay Reversible Semantics for Message Passing Concurrent Programs. Fundamenta Informaticae. 178(3). 229–266. 4 indexed citations
8.
Barbanera, Franco, Mariangiola Dezani-Ciancaglini, Ivan Lanese, & Emilio Tuosto. (2020). Composition and decomposition of multiparty sessions. Journal of Logical and Algebraic Methods in Programming. 119. 100620–100620. 14 indexed citations
9.
Barbanera, Franco, Ivan Lanese, & Ugo de’Liguoro. (2018). A theory of retractable and speculative contracts. Science of Computer Programming. 167. 25–50. 1 indexed citations
10.
Lanese, Ivan, et al.. (2018). A theory of reversibility for Erlang. Journal of Logical and Algebraic Methods in Programming. 100. 71–97. 18 indexed citations
11.
Gabbrielli, Maurizio, et al.. (2018). A Language-based Approach for Interoperability of IoT Platforms. Proceedings of the ... Annual Hawaii International Conference on System Sciences. 5 indexed citations
12.
Preda, Mila Dalla, Maurizio Gabbrielli, Saverio Giallorenzo, Ivan Lanese, & Jacopo Mauro. (2017). Dynamic Choreographies: Theory And Implementation. SHILAP Revista de lepidopterología. 11 indexed citations
13.
Giachino, Elena, Ivan Lanese, Claudio Antares Mezzina, & Francesco Tiezzi. (2016). Causal-consistent rollback in a tuple-based language. Journal of Logical and Algebraic Methods in Programming. 88. 99–120. 9 indexed citations
14.
Lanese, Ivan, Claudio Antares Mezzina, & Jean-Bernard Stefani. (2016). Reversibility in the higher-order π-calculus. Theoretical Computer Science. 625. 25–84. 19 indexed citations
15.
Lanese, Ivan, Alberto Lluch Lafuente, Ana Sokolova, & Hugo Torres Vieira. (2014). Proceedings 7th Interaction and Concurrency Experience. Electronic Proceedings in Theoretical Computer Science. 166. 2 indexed citations
16.
Preda, Mila Dalla, Maurizio Gabbrielli, Saverio Giallorenzo, Ivan Lanese, & Jacopo Mauro. (2013). Developing correct, distributed, adaptive software. Science of Computer Programming. 97. 41–46. 5 indexed citations
17.
Lanese, Ivan, Jorge A. Pérez, Davide Sangiorgi, & Alan Schmitt. (2010). On the expressiveness and decidability of higher-order process calculi. Information and Computation. 209(2). 198–226. 20 indexed citations
18.
Lanese, Ivan & Davide Sangiorgi. (2010). An operational semantics for a calculus for wireless systems. Theoretical Computer Science. 411(19). 1928–1948. 29 indexed citations
19.
Bruni, Roberto, Ivan Lanese, & Ugo Montanari. (2006). A basic algebra of stateless connectors. Theoretical Computer Science. 366(1-2). 98–120. 24 indexed citations
20.
Bruni, Roberto & Ivan Lanese. (2005). On Graph(ic) Encodings. CINECA IRIS Institutial research information system (University of Pisa). 4241. 23–39. 2 indexed citations

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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