Gianluca Torta

415 total citations
43 papers, 177 citations indexed

About

Gianluca Torta is a scholar working on Artificial Intelligence, Computer Networks and Communications and Mechanical Engineering. According to data from OpenAlex, Gianluca Torta has authored 43 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 16 papers in Computer Networks and Communications and 12 papers in Mechanical Engineering. Recurrent topics in Gianluca Torta's work include AI-based Problem Solving and Planning (16 papers), Modular Robots and Swarm Intelligence (12 papers) and Distributed systems and fault tolerance (8 papers). Gianluca Torta is often cited by papers focused on AI-based Problem Solving and Planning (16 papers), Modular Robots and Swarm Intelligence (12 papers) and Distributed systems and fault tolerance (8 papers). Gianluca Torta collaborates with scholars based in Italy, Australia and South Korea. Gianluca Torta's co-authors include Pietro Torasso, Roberto Micalizio, Giorgio Audrito, P. Torasso, Ferruccio Damiani, Roberto Casadei, Mirko Viroli, Alban Grastien, Volker Stolz and Liliana Ardissono and has published in prestigious journals such as Knowledge-Based Systems, Computers & Geosciences and Future Generation Computer Systems.

In The Last Decade

Gianluca Torta

42 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gianluca Torta Italy 7 87 70 37 36 28 43 177
Noury Bouraqadi France 7 65 0.7× 82 1.2× 5 0.1× 28 0.8× 26 0.9× 31 156
Keijiro Araki Japan 6 60 0.7× 26 0.4× 44 1.2× 8 0.2× 41 1.5× 35 142
Michael Cashmore United Kingdom 11 193 2.2× 46 0.7× 31 0.8× 12 0.3× 22 0.8× 21 279
Fernando Gustavo Tinetti Argentina 7 51 0.6× 122 1.7× 13 0.4× 6 0.2× 18 0.6× 78 240
Allan Tomlinson United Kingdom 8 66 0.8× 110 1.6× 6 0.2× 36 1.0× 7 0.3× 25 180
Hongyao Tang China 7 113 1.3× 34 0.5× 24 0.6× 4 0.1× 5 0.2× 18 211
Phan Công Vinh Vietnam 8 64 0.7× 93 1.3× 16 0.4× 11 0.3× 4 0.1× 57 182
Matthieu Roy France 7 42 0.5× 72 1.0× 25 0.7× 7 0.2× 13 0.5× 26 156
Matthew Bradbury United Kingdom 12 72 0.8× 268 3.8× 8 0.2× 5 0.1× 10 0.4× 38 350
Michael Fenton Ireland 9 105 1.2× 29 0.4× 29 0.8× 19 0.5× 13 0.5× 15 194

Countries citing papers authored by Gianluca Torta

Since Specialization
Citations

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

Fields of papers citing papers by Gianluca Torta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gianluca Torta

This figure shows the co-authorship network connecting the top 25 collaborators of Gianluca Torta. A scholar is included among the top collaborators of Gianluca Torta 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 Gianluca Torta. Gianluca Torta 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.
Casadei, Roberto, Giorgio Audrito, Ferruccio Damiani, et al.. (2025). Software Engineering for Collective Cyber-Physical Ecosystems. ACM Transactions on Software Engineering and Methodology. 34(5). 1–40. 1 indexed citations
2.
Audrito, Giorgio, Roberto Casadei, & Gianluca Torta. (2024). A general framework and decentralised algorithms for collective computational processes. Future Generation Computer Systems. 158. 11–27. 3 indexed citations
3.
Audrito, Giorgio, Ferruccio Damiani, & Gianluca Torta. (2024). Real-Time Guarantees for SLCS Monitors in XC. 32–37. 1 indexed citations
4.
Mauro, Noemi, et al.. (2023). An Intelligent Support System to Help Teachers Plan Field Trips. International Journal of Artificial Intelligence in Education. 34(3). 793–824. 2 indexed citations
5.
Audrito, Giorgio, et al.. (2022). A field-based computing approach to sensing-driven clustering in robot swarms. Swarm Intelligence. 17(1-2). 27–62. 5 indexed citations
6.
Audrito, Giorgio, Roberto Casadei, & Gianluca Torta. (2021). Fostering resilient execution of multi-agent plans through self-organisation. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 11533. 81–86. 5 indexed citations
7.
Audrito, Giorgio, Roberto Casadei, & Gianluca Torta. (2021). Towards Integration of Multi-Agent Planning with Self-Organising Collective Processes. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 3464. 297–298. 4 indexed citations
8.
Torta, Gianluca, et al.. (2019). Explaining Failures Propagations in the Execution of Multi-Agent Temporal Plans. Institutional Research Information System University of Turin (University of Turin). 2232–2234. 1 indexed citations
9.
Torta, Gianluca & Roberto Micalizio. (2018). SMT-Based Diagnosis of Multi-Agent Temporal Plans. 3. 2097–2099. 1 indexed citations
10.
Torta, Gianluca & Pietro Torasso. (2013). Automatic component abstraction for Model-Based Diagnosis on relational models. AI Communications. 26(2). 179–209. 1 indexed citations
11.
Grastien, Alban & Gianluca Torta. (2011). A Theory of Abstraction for Diagnosis of Discrete-Event Systems. 50–57. 2 indexed citations
12.
Grastien, Alban & Gianluca Torta. (2011). Reformulation for the Diagnosis of Discrete-Event Systems.. ANU Open Research (Australian National University). 2 indexed citations
13.
Grastien, Alban & Gianluca Torta. (2010). Reformulation for the Diagnosis of Discrete-Event Systems. Annual Conference of the PHM Society. 2(2). 1 indexed citations
14.
Torta, Gianluca & Pietro Torasso. (2007). An on-line approach to the computation and presentation of preferred diagnoses for dynamic systems. AI Communications. 20(2). 93–116. 3 indexed citations
15.
Micalizio, Roberto, Pietro Torasso, & Gianluca Torta. (2006). On-line monitoring and diagnosis of a team of service robots: A model-based approach. AI Communications. 19(4). 313–340. 16 indexed citations
16.
Micalizio, Roberto, Pietro Torasso, & Gianluca Torta. (2006). Synthesizing diagnostic explanations from monitoring data in multi-robot systems. 279–286. 1 indexed citations
17.
Micalizio, Roberto, P. Torasso, & Gianluca Torta. (2004). Monitoring and Diagnosing Multi-Agent Systems: the RoboCare proposal. 535–541. 3 indexed citations
18.
Micalizio, Roberto, P. Torasso, & Gianluca Torta. (2004). On-line monitoring and diagnosis of multi-agent systems: a model based approach. European Conference on Artificial Intelligence. 848–852. 23 indexed citations
19.
Torta, Gianluca & Pietro Torasso. (2003). Automatic abstraction in component-based diagnosis driven by system observability. International Joint Conference on Artificial Intelligence. 394–400. 10 indexed citations
20.
Torasso, Pietro & Gianluca Torta. (2002). Merging Indiscriminable Diagnoses: An Approach Based on Automatic Domains Abstraction. Defense Technical Information Center (DTIC). 43–50. 7 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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