Alessandro Farinelli

4.2k citations
171 papers · 2.5k indexed · h-index 23

Alessandro Farinelli

165 papers receiving 2.4k citations

Peers

Alessandro Farinelli
Comparison fields: 5 of 117
  • Computer Networks and Communications 1.1k
  • Management Science and Operations Research 370
  • Signal Processing 314
  • Computer Vision and Pattern Recognition 587
  • Artificial Intelligence 831
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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-authorship network

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
#Work
1 202418
2 20240
3 20242
4 20233
5 20212
6 20191
7 20152
8
Biclustering gene expressions using factor graphs and the max-sum algorithm
20155
9 201212
10 201085
11
Worst-case bounds on the quality of max-product fixed-points
20106
12
Bounded Approximate Decentralised Coordination using the Max-Sum Algorithm
200912
13
Solving disagreements in a multi-agent system performing Situation Assessment
20093
14 200811
15
Maximising Sensor Network Efficiency Through Agent-Based Coordination of Sense/Sleep Schedules
200810
16 200812
17 2008210
18
Dealing with perception errors in multi-robot system coordination
20071
19
Team programming in Golog under partial observability
20076
20
Using the RoboCup-Rescue Simulator in an Italian Earthquake Scenario
20031

About Alessandro Farinelli

Alessandro Farinelli is a scholar working on Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 171 papers that have together received 2.5k indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (33 papers), Robotic Path Planning Algorithms (31 papers), Optimization and Search Problems (27 papers), Modular Robots and Swarm Intelligence (16 papers), Constraint Satisfaction and Optimization (14 papers), Robotics and Sensor-Based Localization (14 papers), Distributed Control Multi-Agent Systems (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), Management Science and Operations Research (370 citations) and Signal Processing (314 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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