Carlo Pinciroli

3.2k total citations · 1 hit paper
58 papers, 1.5k citations indexed

About

Carlo Pinciroli is a scholar working on Computer Networks and Communications, Mechanical Engineering and Artificial Intelligence. According to data from OpenAlex, Carlo Pinciroli has authored 58 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Computer Networks and Communications, 34 papers in Mechanical Engineering and 10 papers in Artificial Intelligence. Recurrent topics in Carlo Pinciroli's work include Modular Robots and Swarm Intelligence (33 papers), Distributed Control Multi-Agent Systems (26 papers) and Robotic Path Planning Algorithms (7 papers). Carlo Pinciroli is often cited by papers focused on Modular Robots and Swarm Intelligence (33 papers), Distributed Control Multi-Agent Systems (26 papers) and Robotic Path Planning Algorithms (7 papers). Carlo Pinciroli collaborates with scholars based in Belgium, United States and Italy. Carlo Pinciroli's co-authors include Marco Dorigo, Giovanni Beltrame, Mauro Birattari, Luca Maria Gambardella, Eliseo Ferrante, Gianni A. Di, Frederick Ducatelle, Arne Brutschy, Giovanni Pini and Manuele Brambilla and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Computer.

In The Last Decade

Carlo Pinciroli

58 papers receiving 1.5k citations

Hit Papers

ARGoS: a modular, parallel, multi-engine simulator for mu... 2012 2026 2016 2021 2012 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Carlo Pinciroli Belgium 22 875 714 356 317 177 58 1.5k
Manuele Brambilla Belgium 12 974 1.1× 900 1.3× 451 1.3× 366 1.2× 182 1.0× 15 1.8k
Roderich Groß United Kingdom 20 640 0.7× 728 1.0× 267 0.8× 197 0.6× 79 0.4× 59 1.3k
Michaël Bonani Switzerland 17 699 0.8× 933 1.3× 264 0.7× 299 0.9× 120 0.7× 27 1.6k
Eliseo Ferrante Netherlands 19 1.3k 1.5× 1.1k 1.5× 497 1.4× 403 1.3× 281 1.6× 66 2.5k
Vito Trianni Italy 31 1.3k 1.5× 1.3k 1.8× 703 2.0× 442 1.4× 247 1.4× 85 2.7k
Heiko Hamann Germany 18 522 0.6× 545 0.8× 293 0.8× 127 0.4× 63 0.4× 120 1.3k
Arne Brutschy Belgium 14 478 0.5× 440 0.6× 247 0.7× 176 0.6× 70 0.4× 21 854
Luiz Chaimowicz Brazil 19 689 0.8× 418 0.6× 353 1.0× 558 1.8× 267 1.5× 106 1.4k
Ali Emre Turgut Türkiye 21 590 0.7× 490 0.7× 117 0.3× 235 0.7× 137 0.8× 45 1.1k
Nilanjan Chakraborty United States 19 528 0.6× 270 0.4× 240 0.7× 363 1.1× 180 1.0× 82 1.4k

Countries citing papers authored by Carlo Pinciroli

Since Specialization
Citations

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

Fields of papers citing papers by Carlo Pinciroli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carlo Pinciroli

This figure shows the co-authorship network connecting the top 25 collaborators of Carlo Pinciroli. A scholar is included among the top collaborators of Carlo Pinciroli 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 Carlo Pinciroli. Carlo Pinciroli 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.
Reina, Andreagiovanni, et al.. (2023). Coherent movement of error-prone individuals through mechanical coupling. Nature Communications. 14(1). 4063–4063. 6 indexed citations
2.
Khaluf, Yara, et al.. (2023). Minimalistic Collective Perception with Imperfect Sensors. Socio-Environmental Systems Modeling. 8862–8868. 3 indexed citations
3.
Pinciroli, Carlo, et al.. (2023). Heterogeneous Coalition Formation and Scheduling with Multi-Skilled Robots. 5402–5409. 2 indexed citations
4.
Pinciroli, Carlo, et al.. (2022). On multi-human multi-robot remote interaction: a study of transparency, inter-human communication, and information loss in remote interaction. Swarm Intelligence. 16(2). 107–142. 5 indexed citations
5.
Merlo, Ettore, Carlo Pinciroli, Jacopo Panerati, Michalis Famelis, & Giovanni Beltrame. (2022). Automated extraction and checking of property models from source code for robot swarms. PolyPublie (École Polytechnique de Montréal). 47–54. 1 indexed citations
6.
Hamann, Heiko, Carlo Pinciroli, & Sebastian von Mammen. (2018). A Gamification Concept for Teaching Swarm Robotics. 6. 83–88. 3 indexed citations
7.
Pinciroli, Carlo & Giovanni Beltrame. (2016). Buzz: A Programming Language for Robot Swarms. IEEE Software. 33(4). 97–100. 29 indexed citations
8.
Pinciroli, Carlo & Giovanni Beltrame. (2016). Swarm-Oriented Programming of Distributed Robot Networks. Computer. 49(12). 32–41. 26 indexed citations
9.
Pinciroli, Carlo, et al.. (2015). A Tuple Space for Data Sharing in Robot Swarms.. 287–294. 10 indexed citations
10.
Pinciroli, Carlo, et al.. (2014). SRoCS: Leveraging stigmergy on a multi-robot construction platform for unknown environments. Lecture notes in computer science. 8667. 158–169. 2 indexed citations
11.
Brambilla, Manuele, Carlo Pinciroli, Mauro Birattari, & Marco Dorigo. (2012). Property-driven design for swarm robotics. Adaptive Agents and Multi-Agents Systems. 139–146. 23 indexed citations
12.
Ferrante, Eliseo, Ali Emre Turgut, Cristián Huepe, et al.. (2012). Self-organized flocking with a mobile robot swarm: a novel motion control method. Adaptive Behavior. 20(6). 460–477. 113 indexed citations
13.
Roli, Andrea, et al.. (2011). Robustness, evolvability and complexity in Boolean network robots. Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna). 2 indexed citations
14.
Reina, Andreagiovanni, Carlo Pinciroli, Eliseo Ferrante, et al.. (2011). Closed-Loop Aerial Robot-Assisted Navigation of a Cohesive Ground-Based Robot Swarm. 1 indexed citations
15.
Pinciroli, Carlo, Vito Trianni, Giovanni Pini, et al.. (2011). ARGoS: A modular, multi-engine simulator for heterogeneous swarm robotics. 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems. 12 indexed citations
16.
Christensen, Anders Lyhne, et al.. (2010). Robots autonomously self-assemble into dedicated morphologies to solve different tasks. Adaptive Agents and Multi-Agents Systems. 1517–1518. 11 indexed citations
17.
Brambilla, Manuele, Carlo Pinciroli, Mauro Birattari, & Marco Dorigo. (2009). A reliable distributed algorithm for group size estimation with minimal communication requirements. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 1–6. 5 indexed citations
18.
Peña, Jorge, et al.. (2009). Heterogeneous Particle Swarm Optimizers. IEEE Transactions on Evolutionary Computation. 698–705. 17 indexed citations
19.
Pinciroli, Carlo, Rehan O’Grady, Anders Lyhne Christensen, & Marco Dorigo. (2009). Self-organised recruitment in a heteregeneous swarm. 1–8. 8 indexed citations
20.
O’Grady, Rehan, Carlo Pinciroli, Anders Lyhne Christensen, & Marco Dorigo. (2009). Supervised Group Size Regulation in a Heterogeneous Robotic Swarm. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 113–119. 8 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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