Francesco Trovò

884 total citations
49 papers, 246 citations indexed

About

Francesco Trovò is a scholar working on Management Science and Operations Research, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Francesco Trovò has authored 49 papers receiving a total of 246 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Management Science and Operations Research, 19 papers in Artificial Intelligence and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Francesco Trovò's work include Advanced Bandit Algorithms Research (16 papers), Smart Grid Energy Management (7 papers) and Reinforcement Learning in Robotics (6 papers). Francesco Trovò is often cited by papers focused on Advanced Bandit Algorithms Research (16 papers), Smart Grid Energy Management (7 papers) and Reinforcement Learning in Robotics (6 papers). Francesco Trovò collaborates with scholars based in Italy, Chile and Canada. Francesco Trovò's co-authors include Marcello Restelli, Nicola Gatti, Manuel Roveri, Cesare Alippi, L. Pellegrino, Donatella Sciuto, Matteo Ferroni, Marco D. Santambrogio, Filippo Maggi and Joseba Quevedo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Annals of Oncology and Expert Systems with Applications.

In The Last Decade

Francesco Trovò

40 papers receiving 233 citations

Peers

Francesco Trovò
Comparison fields: 5 of 70
  • Management Science and Operations Research 91
  • Artificial Intelligence 70
  • Electrical and Electronic Engineering 69
  • Computer Networks and Communications 51
  • Control and Systems Engineering 36
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Citations per field, relative to Francesco Trovò
Francesco Trovò · 1×
Citations per year, relative to Francesco Trovò
Francesco Trovò · 1×

Countries citing papers authored by Francesco Trovò

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Trovò

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Trovò

This figure shows the co-authorship network connecting the top 25 collaborators of Francesco Trovò. A scholar is included among the top collaborators of Francesco Trovò 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 Francesco Trovò. Francesco Trovò 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
# Work Indexed citations
1 0
2 1
3 1
4 0
5 7
6 2
7 2
8 0
9 2
10 1
11 0
12
Exploiting Opponents Under Utility Constraints in Sequential Games
2
13 1
14 0
15 6
16
When Gaussian Processes Meet Combinatorial Bandits: GCB
2
17 14
18 28
19
Regret minimization algorithms for the follower's behavior identification in leadership games
1
20 19

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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