H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 57 Citations 12,144 184 World Ranking 1901 National Ranking 36

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • The Internet
  • Machine learning

Francesco Bonchi spends much of his time researching Data mining, Artificial intelligence, Social network, Machine learning and Social graph. His Data mining research incorporates themes from Set, Monotone polygon and Pruning. His work deals with themes such as Network science, Dynamic network analysis and Viral marketing, which intersect with Artificial intelligence.

His research integrates issues of Link, Key and Set in his study of Social network. His research investigates the link between Machine learning and topics such as Topic model that cross with problems in Reduction. His Social graph study incorporates themes from Scalability and Interpersonal ties.

His most cited work include:

  • Learning influence probabilities in social networks (829 citations)
  • Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases (386 citations)
  • A data-based approach to social influence maximization (319 citations)

What are the main themes of his work throughout his whole career to date?

His scientific interests lie mostly in Data mining, Theoretical computer science, Graph, Social network and Artificial intelligence. His biological study deals with issues like Pruning, which deal with fields such as Monotone polygon. His research investigates the connection between Theoretical computer science and topics such as Set that intersect with problems in Approximation algorithm, Mathematical optimization and Greedy algorithm.

His Graph research is multidisciplinary, relying on both Betweenness centrality and Scalability. His studies deal with areas such as Key, Data science and Set as well as Social network. His Artificial intelligence research includes elements of Machine learning and Pattern recognition.

He most often published in these fields:

  • Data mining (23.72%)
  • Theoretical computer science (18.61%)
  • Graph (17.52%)

What were the highlights of his more recent work (between 2018-2021)?

  • Theoretical computer science (18.61%)
  • Graph (17.52%)
  • Vertex (6.57%)

In recent papers he was focusing on the following fields of study:

Francesco Bonchi mainly investigates Theoretical computer science, Graph, Vertex, Graph and Set. His Theoretical computer science research includes themes of Centrality, Graph drawing and Social network. Many of his research projects under Social network are closely connected to Matrix decomposition with Matrix decomposition, tying the diverse disciplines of science together.

He interconnects Contrast, Soundness, Task, Artificial intelligence and Online algorithm in the investigation of issues within Graph. His study in the fields of Sentence under the domain of Artificial intelligence overlaps with other disciplines such as Predictability. His Set research integrates issues from Algorithm, Approximation algorithm and Quadratic equation.

Between 2018 and 2021, his most popular works were:

  • Discovering Polarized Communities in Signed Networks (16 citations)
  • FaiRecSys: mitigating algorithmic bias in recommender systems (14 citations)
  • Temporal betweenness centrality in dynamic graphs (13 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • The Internet
  • Database

His primary areas of investigation include Graph, Theoretical computer science, Scalability, Centrality and Data collection. He has researched Graph in several fields, including Social media and Computational sociology. His work deals with themes such as Ranging, Graph, restrict and Viral marketing, which intersect with Theoretical computer science.

His Scalability research is multidisciplinary, incorporating perspectives in Graph summarization, Online algorithm and Cluster analysis. His study in Centrality is interdisciplinary in nature, drawing from both Variety, Duration, Relevance and Identification. His Vertex study combines topics from a wide range of disciplines, such as Upper and lower bounds, Computation and Partition.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Learning influence probabilities in social networks

Amit Goyal;Francesco Bonchi;Laks V.S. Lakshmanan.
web search and data mining (2010)

1264 Citations

Never Walk Alone: Uncertainty for Anonymity in Moving Objects Databases

O. Abul;F. Bonchi;M. Nanni.
international conference on data engineering (2008)

595 Citations

The query-flow graph: model and applications

Paolo Boldi;Francesco Bonchi;Carlos Castillo;Debora Donato.
conference on information and knowledge management (2008)

403 Citations

Topic-aware social influence propagation models

Nicola Barbieri;Francesco Bonchi;Giuseppe Manco.
Knowledge and Information Systems (2013)

387 Citations

Social Network Analysis and Mining for Business Applications

Francesco Bonchi;Carlos Castillo;Aristides Gionis;Alejandro Jaimes.
ACM Transactions on Intelligent Systems and Technology (2011)

370 Citations

Fast shortest path distance estimation in large networks

Michalis Potamias;Francesco Bonchi;Carlos Castillo;Aristides Gionis.
conference on information and knowledge management (2009)

336 Citations

A data-based approach to social influence maximization

Amit Goyal;Francesco Bonchi;Laks V. S. Lakshmanan.
very large data bases (2011)

319 Citations

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

Sara Hajian;Francesco Bonchi;Carlos Castillo.
knowledge discovery and data mining (2016)

253 Citations

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

Charalampos Tsourakakis;Francesco Bonchi;Aristides Gionis;Francesco Gullo.
knowledge discovery and data mining (2013)

249 Citations

Mining Graph Evolution Rules

Michele Berlingerio;Francesco Bonchi;Björn Bringmann;Aristides Gionis.
european conference on machine learning (2009)

225 Citations

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Best Scientists Citing Francesco Bonchi

Dino Pedreschi

Dino Pedreschi

University of Pisa

Publications: 55

Philip S. Yu

Philip S. Yu

University of Illinois at Chicago

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Fosca Giannotti

Fosca Giannotti

Consiglio Nazionale delle Ricerche - CNR

Publications: 48

Aristides Gionis

Aristides Gionis

Royal Institute of Technology

Publications: 44

Jie Tang

Jie Tang

Tsinghua University

Publications: 32

Jeffrey Xu Yu

Jeffrey Xu Yu

Chinese University of Hong Kong

Publications: 30

Enhong Chen

Enhong Chen

University of Science and Technology of China

Publications: 30

Laks V. S. Lakshmanan

Laks V. S. Lakshmanan

University of British Columbia

Publications: 26

Christos Faloutsos

Christos Faloutsos

Carnegie Mellon University

Publications: 26

Xueqi Cheng

Xueqi Cheng

Chinese Academy of Sciences

Publications: 26

Charu C. Aggarwal

Charu C. Aggarwal

IBM (United States)

Publications: 25

Weili Wu

Weili Wu

The University of Texas at Dallas

Publications: 24

Xuemin Lin

Xuemin Lin

UNSW Sydney

Publications: 23

Reynold Cheng

Reynold Cheng

University of Hong Kong

Publications: 22

Jean-François Boulicaut

Jean-François Boulicaut

Institut National des Sciences Appliquées de Lyon

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Carson Kai-Sang Leung

Carson Kai-Sang Leung

University of Manitoba

Publications: 22

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