Alessandro Farinelli

4.3k citations
174 papers · 2.6k · h-index 24

Impact in

Papers in

Alessandro Farinelli

166 papers receiving 2.5k citations

Peers

Alessandro Farinelli
Comparison fields: 5 of 116
  • Computer Networks and Communications 1.1k
  • Signal Processing 323
  • Management Science and Operations Research 367
  • Computer Vision and Pattern Recognition 597
  • Artificial Intelligence 849
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside Alessandro Farinelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alessandro Farinelli Line = papers co-authored together Alessandro Farinelli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 174 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004227
2 2008213
3 2010107
4 201097
5 200595
6 201688
7 201085
8
Decentralised coordination of mobile sensors using the max-sum algorithm
200983
9 201669
10 201364
11 201961
12 200758
13 202052
14 201839
15 201738
16 200533
17 201733
18 201732
19 200931
20 201530

About Alessandro Farinelli

Alessandro Farinelli is a scholar working on Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Signal Processing and Management Science and Operations Research, having authored 174 papers that have together received 2.6k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (34 papers), Robotic Path Planning Algorithms (31 papers), Optimization and Search Problems (27 papers), Modular Robots and Swarm Intelligence (16 papers), Distributed Control Multi-Agent Systems (14 papers), Constraint Satisfaction and Optimization (14 papers), Robotics and Sensor-Based Localization (14 papers) and Auction Theory and Applications (13 papers). The work is most often cited by research in Computer Networks and Communications (1.1k citations), Signal Processing (323 citations), Management Science and Operations Research (367 citations), Computer Vision and Pattern Recognition (597 citations) and Artificial Intelligence (849 citations). Alessandro Farinelli has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent 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. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Robotics and Autonomous Systems, Artificial Intelligence, Pattern Recognition and The Computer Journal.

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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