World's Best Scientists 2026 revealed!
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Computer Science
Italy
2025

D-Index & Metrics

Computer Science

D-Index
66
Citations
16452
World Ranking
2338
National Ranking
39

Research.com Recognitions

  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2023 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Francesco Bonchi is affiliated with the Institute for Scientific Interchange in Italy and specializes primarily in Computer Science, with a focus on Artificial Intelligence. Their research output includes 83 publications in computer science, of which 39 are in artificial intelligence. Other key subfields include Statistical and Nonlinear Physics, Molecular Biology, Computational Theory and Mathematics, and Management Science and Operations Research.

The main topics Francesco Bonchi works on include Complex Network Analysis Techniques, Opinion Dynamics and Social Influence, Advanced Graph Neural Networks, Data Management and Algorithms, Social Media and Politics, Complexity and Algorithms in Graphs, and Bioinformatics and Genomic Networks.

Frequent publication venues for their work are:

  • arXiv (Cornell University)
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Zenodo (CERN European Organization for Nuclear Research)
  • ACM Transactions on Knowledge Discovery from Data
  • Proceedings of the VLDB Endowment

Recently published papers include:

  • "The Effect of People Recommenders on Echo Chambers and Polarization" (2022), Proceedings of the International AAAI Conference on Web and Social Media
  • "Give more data, awareness and control to individual citizens, and they will help COVID-19 containment" (2021), CINECA IRIS Institutional Research Information System (University of Pisa)
  • "Fair Top-k Ranking with multiple protected groups" (2021), Information Processing & Management
  • "Rewiring What-to-Watch-Next Recommendations to Reduce Radicalization Pathways" (2022), Proceedings of the ACM Web Conference 2022
  • "Core Decomposition in Multilayer Networks" (2020), ACM Transactions on Knowledge Discovery from Data

Frequent co-authors include David García-Soriano, Tommaso Lanciano, Gianmarco De Francisci Morales, Francesco Gullo, and Corrado Monti, representing consistent collaboration within their research network.

Book publications span several titles mainly through Springer Science+Business Media and Morgan & Claypool Publishers. Notable books include multiple volumes of "Machine Learning and Knowledge Discovery in Databases" published in 2023 and "Correlation Clustering" published in 2022.

Best Publications

  • Learning influence probabilities in social networks

    Amit Goyal;Francesco Bonchi;Laks V.S. Lakshmanan

  • Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases

    O. Abul;F. Bonchi;M. Nanni

  • FA*IR: A Fair Top-k Ranking Algorithm

    Meike Zehlike;Francesco Bonchi;Carlos Castillo;Sara Hajian

  • Topic-aware social influence propagation models

    Nicola Barbieri;Francesco Bonchi;Giuseppe Manco

  • Social Network Analysis and Mining for Business Applications

    Francesco Bonchi;Carlos Castillo;Aristides Gionis;Alejandro Jaimes

  • The query-flow graph: model and applications

    Paolo Boldi;Francesco Bonchi;Carlos Castillo;Debora Donato

  • Algorithmic Bias: From Discrimination Discovery to Fairness-aware Data Mining

    Sara Hajian;Francesco Bonchi;Carlos Castillo

  • A data-based approach to social influence maximization

    Amit Goyal;Francesco Bonchi;Laks V. S. Lakshmanan

  • Fast shortest path distance estimation in large networks

    Michalis Potamias;Francesco Bonchi;Carlos Castillo;Aristides Gionis

  • Denser than the densest subgraph: extracting optimal quasi-cliques with quality guarantees

    Charalampos Tsourakakis;Francesco Bonchi;Aristides Gionis;Francesco Gullo

  • Mining Graph Evolution Rules

    Michele Berlingerio;Francesco Bonchi;Björn Bringmann;Aristides Gionis

  • Topic-Aware Social Influence Propagation Models

    Nicola Barbieri;Francesco Bonchi;Giuseppe Manco

  • k-nearest neighbors in uncertain graphs

    Michalis Potamias;Francesco Bonchi;Aristides Gionis;George Kollios

  • Discovering leaders from community actions

    Amit Goyal;Francesco Bonchi;Laks V.S. Lakshmanan

  • Anonymization of moving objects databases by clustering and perturbation

    Osman Abul;Francesco Bonchi;Mirco Nanni

  • Anonymizing moving objects: how to hide a MOB in a crowd?

    Roman Yarovoy;Francesco Bonchi;Laks V. S. Lakshmanan;Wendy Hui Wang

  • The role of information diffusion in the evolution of social networks

    Lilian Weng;Jacob Ratkiewicz;Nicola Perra;Bruno Gonçalves

  • Sparsification of influence networks

    Michael Mathioudakis;Francesco Bonchi;Carlos Castillo;Aristides Gionis

  • Who to follow and why: link prediction with explanations

    Nicola Barbieri;Francesco Bonchi;Giuseppe Manco

  • Query suggestions using query-flow graphs

    Paolo Boldi;Francesco Bonchi;Carlos Castillo;Debora Donato

  • Time-Annotated Sequences for Medical Data Mining

    M. Berlingerio;F. Bonchi;F. Giannotti;F. Turini

Frequent Co-Authors

Aristides Gionis
Aristides Gionis Royal Institute of Technology
Fosca Giannotti
Fosca Giannotti Scuola Normale Superiore di Pisa
Dino Pedreschi
Dino Pedreschi University of Pisa
Carlos Castillo
Carlos Castillo Pompeu Fabra University
Elena Ferrari
Elena Ferrari University of Insubria
Nicolas Kourtellis
Nicolas Kourtellis Telefónica (Spain)
Laks V. S. Lakshmanan
Laks V. S. Lakshmanan University of British Columbia
Bradley A. Malin
Bradley A. Malin Vanderbilt University Medical Center
Alain Barrat
Alain Barrat Centre de Physique Théorique
Paolo Boldi
Paolo Boldi University of Milan

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