Alessandro Farinelli

4.2k total citations
171 papers, 2.5k citations indexed

About

Alessandro Farinelli is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alessandro Farinelli has authored 171 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Artificial Intelligence, 61 papers in Computer Networks and Communications and 40 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alessandro Farinelli's work include Reinforcement Learning in Robotics (33 papers), Robotic Path Planning Algorithms (31 papers) and Optimization and Search Problems (27 papers). Alessandro Farinelli is often cited by papers focused on Reinforcement Learning in Robotics (33 papers), Robotic Path Planning Algorithms (31 papers) and Optimization and Search Problems (27 papers). Alessandro Farinelli collaborates with scholars based in Italy, United Kingdom and Spain. Alessandro Farinelli's co-authors include Nicholas R. Jennings, Luca Iocchi, Daniele Nardi, A. Rogers, Sarvapali D. Ramchurn, Enrico Marchesini, Filippo Bistaffa, Adrian Petcu, Ruben Stranders and Alberto Castellini and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Proceedings of the IEEE.

In The Last Decade

Alessandro Farinelli

165 papers receiving 2.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessandro Farinelli Italy 23 1.1k 831 587 370 314 171 2.5k
Klaus Moessner United Kingdom 34 3.2k 2.9× 607 0.7× 525 0.9× 111 0.3× 296 0.9× 278 4.9k
Chunsheng Zhu China 37 3.1k 2.8× 1.1k 1.3× 459 0.8× 77 0.2× 246 0.8× 177 4.9k
Michal Pěchouček Czechia 23 535 0.5× 705 0.8× 348 0.6× 204 0.6× 88 0.3× 157 1.9k
Fangchun Yang China 38 3.7k 3.3× 1.0k 1.2× 460 0.8× 132 0.4× 188 0.6× 264 5.4k
Zhetao Li China 35 2.2k 2.0× 1.1k 1.3× 649 1.1× 81 0.2× 168 0.5× 194 4.5k
Julie A. McCann United Kingdom 31 2.6k 2.3× 1.1k 1.3× 450 0.8× 68 0.2× 215 0.7× 183 4.6k
Jiangtian Nie Singapore 26 652 0.6× 802 1.0× 273 0.5× 132 0.4× 65 0.2× 87 2.4k
Zhiguang Cao Singapore 29 502 0.5× 607 0.7× 616 1.0× 124 0.3× 166 0.5× 93 3.1k
Alberto Colorni Italy 16 473 0.4× 1.1k 1.3× 295 0.5× 196 0.5× 119 0.4× 41 3.1k
Mohammad Shojafar United Kingdom 44 4.4k 4.0× 1.2k 1.5× 577 1.0× 97 0.3× 568 1.8× 204 6.5k

Countries citing papers authored by Alessandro Farinelli

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Farinelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessandro Farinelli

This figure shows the co-authorship network connecting the top 25 collaborators of Alessandro Farinelli. A scholar is included among the top collaborators of Alessandro Farinelli 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 Alessandro Farinelli. Alessandro Farinelli 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.
Wang, Yiming, Alberto Castellini, Alessio Del Bue, et al.. (2024). Unsupervised Active Visual Search With Monte Carlo Planning Under Uncertain Detections. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11047–11058.
2.
Farinelli, Alessandro, et al.. (2024). A Markov Decision Process Approach for Decentralized UAV Formation Path Planning. 436–441. 2 indexed citations
3.
Castellini, Alberto, et al.. (2024). Reinforcement learning applications in environmental sustainability: a review. Artificial Intelligence Review. 57(4). 18 indexed citations
4.
Cicalese, Ferdinando, et al.. (2023). The #DNN-Verification Problem: Counting Unsafe Inputs for Deep Neural Networks. 217–224. 3 indexed citations
5.
Zanella, Andréa, et al.. (2022). IoT Systems for Healthy and Safe Life Environments. Research Padua Archive (University of Padua). 31–37. 3 indexed citations
6.
Marchesini, Enrico, et al.. (2021). Genetic Soft Updates for Policy Evolution in Deep Reinforcement Learning. International Conference on Learning Representations. 10 indexed citations
7.
Castellini, Alberto, et al.. (2021). Identification of Unexpected Decisions in Partially Observable Monte-Carlo Planning: A Rule-Based Approach. Adaptive Agents and Multi-Agents Systems. 889–897. 2 indexed citations
8.
Castellini, Alberto, et al.. (2020). HMMs for Anomaly Detection in Autonomous Robots. Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano). 105–113. 8 indexed citations
9.
Castellini, Alberto, et al.. (2019). eXplainable Modeling (XM): Data Analysis for Intelligent Agents. Adaptive Agents and Multi-Agents Systems. 2342–2344. 1 indexed citations
10.
Farinelli, Alessandro, et al.. (2015). Biclustering gene expressions using factor graphs and the max-sum algorithm. International Conference on Artificial Intelligence. 925–931. 5 indexed citations
11.
Farinelli, Alessandro, et al.. (2015). A Mechanism for Smoothly Handling Human Interrupts in Team Oriented Plans. Adaptive Agents and Multi-Agents Systems. 377–385. 2 indexed citations
12.
Bistaffa, Filippo, Alessandro Farinelli, Jesús Cerquides, Juan A. Rodríguez-Aguilar, & Sarvapali D. Ramchurn. (2014). Anytime coalition structure generation on synergy graphs. Adaptive Agents and Multi-Agents Systems. 13–20. 18 indexed citations
13.
Kleiner, Alexander, et al.. (2013). RMASBench: benchmarking dynamic multi-agent coordination in urban search and rescue. Adaptive Agents and Multi-Agents Systems. 1195–1196. 13 indexed citations
14.
Farinelli, Alessandro, Manuele Bicego, Sarvapali D. Ramchurn, & Mauro Zucchelli. (2013). C-link: a hierarchical clustering approach to large-scale near-optimal coalition formation. ePrints Soton (University of Southampton). 106–112. 15 indexed citations
15.
Farinelli, Alessandro, et al.. (2013). RMASBench: a benchmarking system for multi-agent coordination in urban search and rescue. Adaptive Agents and Multi-Agents Systems. 1383–1384. 6 indexed citations
16.
Vinyals, Meritxell, Alessandro Farinelli, & Alex Rogers. (2012). Stable coalition formation among energy consumers in the smart grid. 7 indexed citations
17.
Vinyals, Meritxell, Jesús Cerquides, Alessandro Farinelli, & Juan A. Rodríguez-Aguilar. (2010). Worst-case bounds on the quality of max-product fixed-points. Neural Information Processing Systems. 23. 2325–2333. 6 indexed citations
18.
Stranders, Ruben, Alessandro Farinelli, Alex Rogers, & Nicholas R. Jennings. (2009). Decentralised coordination of mobile sensors using the max-sum algorithm. ePrints Soton (University of Southampton). 299–304. 82 indexed citations
19.
Nardi, Daniele, et al.. (2009). Solving disagreements in a multi-agent system performing Situation Assessment. IRIS Research product catalog (Sapienza University of Rome). 717–724. 3 indexed citations
20.
Farinelli, Alessandro, et al.. (2007). Dealing with perception errors in multi-robot system coordination. IRIS Research product catalog (Sapienza University of Rome). 2091–2096. 1 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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