Elio Tuci
-
- Distributed Control Multi-Agent Systems 18
- Artificial Intelligence top 5%
- Reinforcement Learning in Robotics 15
- Evolutionary Algorithms and Applications 6
- Mechanical Engineering top 5%
- Modular Robots and Swarm Intelligence 26
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function 13
- Cultural Studies top 2%
-
- Evolutionary Game Theory and Cooperation 8
-
- Robot Manipulation and Learning 5
-
- Micro and Nano Robotics 5
- Co-authors
- Muhanad AlkilabiMarco DorigoVito TrianniOtar AkanyetiInman HarveyMatt QuinnEzequiel A. Di PaoloRachel Wood
- Partner nations
- BelgiumUnited KingdomItaly
In The Last Decade
Elio Tuci
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 93
- Computer Networks and Communications 333
- Artificial Intelligence 343
- Mechanical Engineering 397
- Cognitive Neuroscience 205
- Cultural Studies 85
Countries citing papers authored by Elio Tuci
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
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
The 25 scholars most cited alongside Elio Tuci, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 2 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2022 | 5 | |
| 9 | 2018 | 161 | |
| 10 | 2017 | 9 | |
| 11 | 2017 | 42 | |
| 12 | 2015 | 4 | |
| 13 | 2013 | 1 | |
| 14 | An Experiment on the Evolution of Compositional Semantics and Behaviour Generalisation in Artificial Agents | 2011 | 10 |
| 15 | The Evolution of Behavioural and Linguistic Skills to Execute and Generate Two-word Instructions in Agents Controlled by Dynamical Neural Networks | 2010 | 1 |
| 16 | Self-Assembly in Physical Autonomous Robots: the Evolutionary Robotics Approach | 2008 | 6 |
| 17 | 2008 | 9 | |
| 18 | Evolution of Social and Individual Learning in Autonomous Robots | 2007 | 2 |
| 19 | Operational aspects of the evolved signalling behaviour in a group of cooperating and communicating robots | 2006 | 1 |
| 20 | 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 | 2006 | 3 |
About Elio Tuci
Elio Tuci is a scholar working on Computer Networks and Communications, Artificial Intelligence and Cognitive Neuroscience, having authored 71 papers that have together received 1.1k indexed citations. Recurring topics across this work include Modular Robots and Swarm Intelligence (26 papers), Distributed Control Multi-Agent Systems (18 papers), Reinforcement Learning in Robotics (15 papers), Neural dynamics and brain function (13 papers), Evolutionary Game Theory and Cooperation (8 papers), Evolutionary Algorithms and Applications (6 papers), Robot Manipulation and Learning (5 papers) and Micro and Nano Robotics (5 papers). The work is most often cited by research in Computer Networks and Communications (333 citations), Artificial Intelligence (343 citations) and Mechanical Engineering (397 citations). Elio Tuci has collaborated with scholars based in Belgium, United Kingdom and Italy. Frequent 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.
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.