Elio Tuci

55 papers and 846 indexed citations
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About

Elio Tuci is a scholar working on Artificial Intelligence, Mechanical Engineering and Computer Networks and Communications. According to data from OpenAlex, Elio Tuci has authored 55 papers receiving a total of 846 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 19 papers in Mechanical Engineering and 15 papers in Computer Networks and Communications. Recurrent topics in Elio Tuci’s work include Modular Robots and Swarm Intelligence (19 papers), Reinforcement Learning in Robotics (13 papers) and Neural dynamics and brain function (11 papers). Elio Tuci is often cited by papers focused on Modular Robots and Swarm Intelligence (19 papers), Reinforcement Learning in Robotics (13 papers) and Neural dynamics and brain function (11 papers). Elio Tuci collaborates with scholars based in Belgium, United Kingdom and Italy. Elio Tuci's co-authors include Muhanad Alkilabi, Vito Trianni, Marco Dorigo, Otar Akanyeti, Inman Harvey, Matt Quinn, Ezequiel A. Di Paolo, Rachel Wood, Christos Ampatzis and Roderich Groß and has published in prestigious journals such as Ecological Modelling, IEEE Transactions on Evolutionary Computation and Neurocomputing.

In The Last Decade

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.

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.

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).

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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2026