Elio Tuci

2.6k total citations
71 papers, 1.1k citations indexed

About

Elio Tuci is a scholar working on Mechanical Engineering, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Elio Tuci has authored 71 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Mechanical Engineering, 24 papers in Artificial Intelligence and 22 papers in Computer Networks and Communications. Recurrent topics in Elio Tuci's work include Modular Robots and Swarm Intelligence (26 papers), Distributed Control Multi-Agent Systems (18 papers) and Reinforcement Learning in Robotics (15 papers). Elio Tuci is often cited by papers focused on Modular Robots and Swarm Intelligence (26 papers), Distributed Control Multi-Agent Systems (18 papers) and Reinforcement Learning in Robotics (15 papers). Elio Tuci collaborates with scholars based in Belgium, United Kingdom and Italy. Elio Tuci's co-authors include Muhanad Alkilabi, Marco Dorigo, Vito Trianni, Otar Akanyeti, Inman Harvey, Matt Quinn, Ezequiel A. Di Paolo, Rachel Wood, Francesco Mondada and Michaël Bonani and has published in prestigious journals such as IEEE Transactions on Evolutionary Computation, Neurocomputing and Ecological Modelling.

In The Last Decade

Elio Tuci

64 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elio Tuci Belgium 17 397 343 333 205 200 71 1.1k
Erol Şahi̇n Türkiye 22 660 1.7× 611 1.8× 736 2.2× 166 0.8× 476 2.4× 70 2.0k
Owen Holland United Kingdom 20 286 0.7× 417 1.2× 682 2.0× 239 1.2× 172 0.9× 77 2.0k
Jean-Arcady Meyer France 24 259 0.7× 728 2.1× 189 0.6× 336 1.6× 815 4.1× 138 2.3k
Inman Harvey United Kingdom 19 205 0.5× 687 2.0× 91 0.3× 333 1.6× 74 0.4× 70 1.4k
Orazio Miglino Italy 16 213 0.5× 511 1.5× 67 0.2× 173 0.8× 143 0.7× 63 1.1k
Nicolas Bredèche France 16 311 0.8× 451 1.3× 104 0.3× 68 0.3× 58 0.3× 59 934
Jean-Baptiste Mouret France 21 492 1.2× 1.1k 3.2× 114 0.3× 251 1.2× 193 1.0× 78 2.2k
Roderich Groß United Kingdom 20 728 1.8× 267 0.8× 640 1.9× 31 0.2× 197 1.0× 59 1.3k
Manuele Brambilla Belgium 12 900 2.3× 451 1.3× 974 2.9× 43 0.2× 366 1.8× 15 1.8k
Péter Köröndi Hungary 22 428 1.1× 332 1.0× 94 0.3× 86 0.4× 323 1.6× 196 1.8k

Countries citing papers authored by Elio Tuci

Since Specialization
Citations

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

Fields of papers citing papers by Elio Tuci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elio Tuci

This figure shows the co-authorship network connecting the top 25 collaborators of Elio Tuci. A scholar is included among the top collaborators of Elio Tuci 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 Elio Tuci. Elio Tuci 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.
Alkilabi, Muhanad, et al.. (2024). Review of Collective Decision Making in Swarm Robotics. Journal of Al-Qadisiyah for Computer Science and Mathematics. 16(1). 72–80. 1 indexed citations
2.
3.
Tuci, Elio, et al.. (2024). On the design of deep learning-based control algorithms for visually guided UAVs engaged in power tower inspection tasks. Frontiers in Robotics and AI. 11. 1378149–1378149. 3 indexed citations
4.
Carletti, Timotéo, et al.. (2023). The role of the environment in collective perception: A generic complexity measure. Repository of the University of Namur.
5.
Alkilabi, Muhanad, et al.. (2023). On the evolution of mechanisms for three-option collective decision-making in a swarm of simulated robots. Proceedings of the Genetic and Evolutionary Computation Conference. 4–12. 2 indexed citations
6.
Trianni, Vito, et al.. (2023). Aggregation Through Adaptive Random Walks in a Minimalist Robot Swarm. Proceedings of the Genetic and Evolutionary Computation Conference. 21–29.
7.
Alkilabi, Muhanad, et al.. (2023). On the evolution of adaptable and scalable mechanisms for collective decision-making in a swarm of robots. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
8.
Alkilabi, Muhanad, et al.. (2022). A Comparative Study on Decision Making Mechanisms in a Simulated Swarm of Robots. 1–8. 5 indexed citations
9.
Tuci, Elio, Muhanad Alkilabi, & Otar Akanyeti. (2018). Cooperative Object Transport in Multi-Robot Systems: A Review of the State-of-the-Art. Frontiers in Robotics and AI. 5. 59–59. 161 indexed citations
10.
Tuci, Elio, et al.. (2017). A dynamic colour perception system for autonomous robot navigation on unmarked roads. Neurocomputing. 275. 2251–2263. 9 indexed citations
11.
Alkilabi, Muhanad, et al.. (2017). Cooperative object transport with a swarm of e-puck robots: robustness and scalability of evolved collective strategies. Swarm Intelligence. 11(3-4). 185–209. 42 indexed citations
12.
Alkilabi, Muhanad, Chuan Lü, & Elio Tuci. (2015). Cooperative Object Transport Using Evolutionary Swarm Robotics Methods. Middlesex University Research Repository (Middlesex University Of London). 464–471. 4 indexed citations
13.
14.
Tuci, Elio, et al.. (2011). An Experiment on the Evolution of Compositional Semantics and Behaviour Generalisation in Artificial Agents. University of Southern Denmark Research Portal (University of Southern Denmark). 3(2). 1–14. 10 indexed citations
15.
Tuci, Elio, et al.. (2010). The Evolution of Behavioural and Linguistic Skills to Execute and Generate Two-word Instructions in Agents Controlled by Dynamical Neural Networks. Artificial Life. 591–598. 1 indexed citations
16.
Tuci, Elio, Christos Ampatzis, Vito Trianni, Anders Lyhne Christensen, & Marco Dorigo. (2008). Self-Assembly in Physical Autonomous Robots: the Evolutionary Robotics Approach. Artificial Life. 616–623. 6 indexed citations
17.
Pini, Giovanni & Elio Tuci. (2008). On the design of neuro-controllers for individual and social learning behaviour in autonomous robots: an evolutionary approach. Connection Science. 20(2-3). 211–230. 9 indexed citations
18.
Pini, Giovanni, Elio Tuci, & Marco Dorigo. (2007). Evolution of Social and Individual Learning in Autonomous Robots. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 2 indexed citations
19.
Tuci, Elio, Christos Ampatzis, Federico Vicentini, & Marco Dorigo. (2006). Operational aspects of the evolved signalling behaviour in a group of cooperating and communicating robots. Lecture notes in computer science. 113–127. 1 indexed citations
20.
Vogt, Paul, et al.. (2006). Symbol grounding and beyond : Third International Workshop on the Emergence and Evolution of Linguistic Communication, EELC 2006, Rome, Italy, September 30-October 1, 2006 : proceedings. Springer eBooks. 3 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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