Alessio Benavoli

2.0k total citations
72 papers, 754 citations indexed

About

Alessio Benavoli is a scholar working on Artificial Intelligence, Statistics and Probability and Control and Systems Engineering. According to data from OpenAlex, Alessio Benavoli has authored 72 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Artificial Intelligence, 19 papers in Statistics and Probability and 15 papers in Control and Systems Engineering. Recurrent topics in Alessio Benavoli's work include Target Tracking and Data Fusion in Sensor Networks (26 papers), Bayesian Modeling and Causal Inference (21 papers) and Bayesian Methods and Mixture Models (10 papers). Alessio Benavoli is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (26 papers), Bayesian Modeling and Causal Inference (21 papers) and Bayesian Methods and Mixture Models (10 papers). Alessio Benavoli collaborates with scholars based in Switzerland, Italy and Ireland. Alessio Benavoli's co-authors include Luigi Chisci, Alfonso Farina, Marco Zaffalon, Giorgio Battistelli, Giorgio Corani, Branko Ristić, Francesca Mangili, Alessandro Antonucci, Enrique Miranda and Fabrizio Ruggeri and has published in prestigious journals such as IEEE Transactions on Automatic Control, Automatica and IEEE Transactions on Signal Processing.

In The Last Decade

Alessio Benavoli

69 papers receiving 727 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alessio Benavoli Switzerland 15 491 157 156 113 78 72 754
Vladislav B. Tadić United Kingdom 12 484 1.0× 287 1.8× 108 0.7× 37 0.3× 109 1.4× 43 784
I. R. Goodman United States 10 606 1.2× 73 0.5× 157 1.0× 73 0.6× 120 1.5× 47 791
E. Alper Yıldırım Türkiye 13 193 0.4× 166 1.1× 69 0.4× 65 0.6× 35 0.4× 43 925
K. Mehrotra United States 15 585 1.2× 113 0.7× 178 1.1× 26 0.2× 115 1.5× 41 1.0k
Zongben Xu China 7 199 0.4× 48 0.3× 68 0.4× 38 0.3× 31 0.4× 14 732
Zhuoran Yang United States 15 461 0.9× 127 0.8× 231 1.5× 32 0.3× 57 0.7× 79 843
Jun’ichi Takeuchi Japan 13 855 1.7× 105 0.7× 430 2.8× 27 0.2× 99 1.3× 65 1.3k
Pham Dinh Tao France 5 106 0.2× 74 0.5× 85 0.5× 34 0.3× 47 0.6× 7 600
Robert R. Tenney United States 10 703 1.4× 237 1.5× 662 4.2× 95 0.8× 67 0.9× 24 992
Jochen Gorski Germany 6 136 0.3× 75 0.5× 102 0.7× 33 0.3× 24 0.3× 11 596

Countries citing papers authored by Alessio Benavoli

Since Specialization
Citations

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

Fields of papers citing papers by Alessio Benavoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alessio Benavoli

This figure shows the co-authorship network connecting the top 25 collaborators of Alessio Benavoli. A scholar is included among the top collaborators of Alessio Benavoli 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 Alessio Benavoli. Alessio Benavoli 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.
Benavoli, Alessio, et al.. (2022). A Reinforcement Learning System for Generating Instantaneous Quality Random Sequences. IEEE Transactions on Artificial Intelligence. 4(3). 402–415. 3 indexed citations
2.
Benavoli, Alessio, Alessandro Facchini, & Marco Zaffalon. (2022). Quantum indistinguishability through exchangeability. International Journal of Approximate Reasoning. 151. 389–412. 1 indexed citations
3.
Benavoli, Alessio, Alessandro Facchini, & Marco Zaffalon. (2019). Bernstein's Socks, Polynomial-Time Provable Coherence and Entanglement.. 23–31. 2 indexed citations
4.
Piga, Dario & Alessio Benavoli. (2019). Semialgebraic Outer Approximations for Set-Valued Nonlinear Filtering. 400–405. 1 indexed citations
5.
Benavoli, Alessio, Alessandro Facchini, & Marco Zaffalon. (2016). Quantum mechanics: The Bayesian theory generalized to the space of Hermitian matrices. Physical review. A. 94(4). 9 indexed citations
6.
Benavoli, Alessio, Giorgio Corani, Francesca Mangili, & Marco Zaffalon. (2015). A Bayesian nonparametric procedure for comparing algorithms. International Conference on Machine Learning. 1264–1272. 4 indexed citations
7.
Benavoli, Alessio & Francesca Mangili. (2015). Gaussian Processes for Bayesian hypothesis tests on regression functions. International Conference on Artificial Intelligence and Statistics. 74–82. 7 indexed citations
8.
Benavoli, Alessio, Giorgio Corani, Francesca Mangili, Marco Zaffalon, & Fabrizio Ruggeri. (2014). A Bayesian Wilcoxon signed-rank test based on the Dirichlet process. 1026–1034. 48 indexed citations
9.
Mangili, Francesca & Alessio Benavoli. (2014). New prior near-ignorance models on the simplex. International Journal of Approximate Reasoning. 56. 278–306. 4 indexed citations
10.
Benavoli, Alessio. (2013). Imprecise Hierarchical Dirichlet model with applications. SUPSI ARIS. 1918–1925. 1 indexed citations
11.
Benavoli, Alessio. (2013). Belief function and multivalued mapping robustness in statistical estimation. International Journal of Approximate Reasoning. 55(1). 311–329. 4 indexed citations
12.
Benavoli, Alessio & Benjamin Noack. (2012). Pushing Kalman’s Idea to the Extremes. Repository KITopen (Karlsruhe Institute of Technology). 1202–1209. 3 indexed citations
13.
Ristić, Branko & Alessio Benavoli. (2012). Evidential networks for decision support in surveillance systems. RMIT Research Repository (RMIT University Library). 1 indexed citations
14.
Benavoli, Alessio & Branko Ristić. (2011). Classification with imprecise likelihoods: A comparison of TBM, random set and imprecise probability approach. RMIT Research Repository (RMIT University Library). 1–8. 8 indexed citations
15.
Benavoli, Alessio, et al.. (2011). Inference with multinomial data: why to weaken the prior strength. International Joint Conference on Artificial Intelligence. 2107–2112. 10 indexed citations
16.
Battistelli, Giorgio, Luigi Chisci, Francesco Papi, et al.. (2011). Optimal Flow Models for Multiscan Data Association. IEEE Transactions on Aerospace and Electronic Systems. 47(4). 2405–2422. 10 indexed citations
17.
Benavoli, Alessio, Marco Zaffalon, & Enrique Miranda. (2009). Reliable hidden Markov model filtering through coherent lower previsions. Consultation of the Doctoral Thesis Database (TESEO) (Ministerio de Educación, Cultura y Deporte). 1743–1750. 9 indexed citations
18.
Antonucci, Alessandro, et al.. (2009). Multiple model tracking by imprecise markov trees. Ghent University Academic Bibliography (Ghent University). 1767–1774. 7 indexed citations
19.
Battistelli, Giorgio, Luigi Chisci, Francesco Papi, et al.. (2008). Traffic intensity estimation via PHD filtering. Florence Research (University of Florence). 340–343. 20 indexed citations
20.
Benavoli, Alessio, et al.. (2008). Why should we use particle filtering in FM band passive radars. European Radar Conference. 344–347. 3 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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