D-Index & Metrics Best Publications
Computer Science
Italy
2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 46 Citations 11,781 295 World Ranking 4336 National Ranking 92

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Italy Leader Award

2004 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to graph based learning and matching techniques, and for service to IAPR.

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Machine learning
  • Computer vision

His primary areas of study are Artificial intelligence, Pattern recognition, Computer vision, Pattern recognition and Theoretical computer science. The concepts of his Pattern recognition study are interwoven with issues in Application domain, Graph edit distance, Graph and Clustering coefficient. His studies in Computer vision integrate themes in fields like Tree, False positive paradox and Robustness.

He interconnects Feature, Data mining, Field, Staining and Computer-aided diagnosis in the investigation of issues within Pattern recognition. The Theoretical computer science study combines topics in areas such as Induced subgraph isomorphism problem, Graph isomorphism, 3-dimensional matching and Matching, Algorithm. His work deals with themes such as Indifference graph and Cograph, Pathwidth, which intersect with Induced subgraph isomorphism problem.

His most cited work include:

  • THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION (1147 citations)
  • A (sub)graph isomorphism algorithm for matching large graphs (946 citations)
  • Trainable COSFIRE filters for vessel delineation with application to retinal images (379 citations)

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

Mario Vento mostly deals with Artificial intelligence, Computer vision, Pattern recognition, Pattern recognition and Machine learning. His Artificial intelligence study frequently draws connections to adjacent fields such as Data mining. His Computer vision research includes elements of Process and Set.

His study looks at the relationship between Pattern recognition and fields such as Graph, as well as how they intersect with chemical problems. His Theoretical computer science study combines topics in areas such as Graph isomorphism, Algorithm and Induced subgraph isomorphism problem. His Pattern recognition research integrates issues from Field, Staining and Natural language processing.

He most often published in these fields:

  • Artificial intelligence (68.49%)
  • Computer vision (27.40%)
  • Pattern recognition (23.97%)

What were the highlights of his more recent work (between 2017-2021)?

  • Artificial intelligence (68.49%)
  • Deep learning (5.48%)
  • Convolutional neural network (3.08%)

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

Mario Vento mainly focuses on Artificial intelligence, Deep learning, Convolutional neural network, Subgraph isomorphism problem and Pattern recognition. His Artificial intelligence research incorporates elements of Machine learning and Computer vision. His Deep learning study also includes

  • Spectrogram, which have a strong connection to Frame rate and Representation,
  • Network architecture which is related to area like Humanoid robot and Artificial neural network.

His study in Convolutional neural network is interdisciplinary in nature, drawing from both Event, Field and Benchmark. His Subgraph isomorphism problem study combines topics from a wide range of disciplines, such as Algorithm, Parallel algorithm and Parallelism. His work on Pattern recognition as part of general Pattern recognition study is frequently connected to Audio analyzer, therefore bridging the gap between diverse disciplines of science and establishing a new relationship between them.

Between 2017 and 2021, his most popular works were:

  • Challenging the Time Complexity of Exact Subgraph Isomorphism for Huge and Dense Graphs with VF3 (47 citations)
  • Trends in IoT based solutions for health care: Moving AI to the edge (20 citations)
  • Fusion of Domain-Specific and Trainable Features for Gender Recognition From Face Images (19 citations)

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

  • Artificial intelligence
  • Machine learning
  • Computer vision

The scientist’s investigation covers issues in Artificial intelligence, Subgraph isomorphism problem, Video tracking, Face and Host. As a part of the same scientific family, Mario Vento mostly works in the field of Artificial intelligence, focusing on Pattern recognition and, on occasion, Robustness. The study incorporates disciplines such as Matching, Algorithm, Graph database and Theoretical computer science in addition to Subgraph isomorphism problem.

His studies deal with areas such as Parallel algorithm, Parallelism and Induced subgraph isomorphism problem as well as Theoretical computer science. His work carried out in the field of Video tracking brings together such families of science as Object detection, Perspective and Smart system. His Face research focuses on State and how it relates to Exploit.

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

THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION

Donatello Conte;Pasquale Foggia;Carlo Sansone;Mario Vento.
International Journal of Pattern Recognition and Artificial Intelligence (2004)

1808 Citations

A (sub)graph isomorphism algorithm for matching large graphs

L.P. Cordella;P. Foggia;C. Sansone;M. Vento.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2004)

1529 Citations

Trainable COSFIRE filters for vessel delineation with application to retinal images

George Azzopardi;Nicola Strisciuglio;Mario Vento;Nicolai Petkov.
Medical Image Analysis (2015)

627 Citations

An Improved Algorithm for Matching Large Graphs

L. P. Cordella;P. Foggia;C. Sansone;M. Vento.
(2001)

560 Citations

GRAPH MATCHING AND LEARNING IN PATTERN RECOGNITION IN THE LAST 10 YEARS

Pasquale Foggia;Gennaro Percannella;Mario Vento.
International Journal of Pattern Recognition and Artificial Intelligence (2014)

357 Citations

Performance evaluation of the VF graph matching algorithm

L.P. Cordella;P. Foggia;C. Sansone;M. Vento.
international conference on image analysis and processing (1999)

296 Citations

Benchmarking HEp-2 Cells Classification Methods

Pasquale Foggia;Gennaro Percannella;Paolo Soda;Mario Vento.
IEEE Transactions on Medical Imaging (2013)

266 Citations

A Performance Comparison of Five Algorithms for Graph Isomorphism

P. Foggia;C.Sansone;M. Vento.
(2001)

260 Citations

To reject or not to reject: that is the question-an answer in case of neural classifiers

C. De Stefano;C. Sansone;M. Vento.
systems man and cybernetics (2000)

252 Citations

Real-Time Fire Detection for Video-Surveillance Applications Using a Combination of Experts Based on Color, Shape, and Motion

Pasquale Foggia;Alessia Saggese;Mario Vento.
IEEE Transactions on Circuits and Systems for Video Technology (2015)

235 Citations

If you think any of the details on this page are incorrect, let us know.

Contact us

Best Scientists Citing Mario Vento

Horst Bunke

Horst Bunke

University of Bern

Publications: 87

Carey E. Priebe

Carey E. Priebe

Johns Hopkins University

Publications: 37

Josep Lladós

Josep Lladós

Autonomous University of Barcelona

Publications: 30

Hong Qiao

Hong Qiao

Chinese Academy of Sciences

Publications: 24

Dennis Shasha

Dennis Shasha

New York University

Publications: 21

Xuemin Lin

Xuemin Lin

University of New South Wales

Publications: 17

Carlo Sansone

Carlo Sansone

University of Naples Federico II

Publications: 16

Jiang Liu

Jiang Liu

Southern University of Science and Technology

Publications: 16

Edwin R. Hancock

Edwin R. Hancock

University of York

Publications: 16

Wenfei Fan

Wenfei Fan

University of Edinburgh

Publications: 16

Dongyan Zhao

Dongyan Zhao

Peking University

Publications: 14

Peter F. Stadler

Peter F. Stadler

Leipzig University

Publications: 14

Joshua T. Vogelstein

Joshua T. Vogelstein

Johns Hopkins University

Publications: 13

Junchi Yan

Junchi Yan

Shanghai Jiao Tong University

Publications: 13

Linlin Shen

Linlin Shen

Shenzhen University

Publications: 13

Bin Luo

Bin Luo

Anhui University

Publications: 13

Trending Scientists

Yifeng Wu

Yifeng Wu

Transphorm Inc.

Robert Bau

Robert Bau

University of Southern California

Hua-Jin Zhai

Hua-Jin Zhai

Shanxi University

Milton T.W. Hearn

Milton T.W. Hearn

Monash University

Kun Wang

Kun Wang

Jiangsu University

Eduard Llobet

Eduard Llobet

Rovira i Virgili University

Guido Volckaert

Guido Volckaert

KU Leuven

Stuart A. Ludsin

Stuart A. Ludsin

The Ohio State University

Zvi Selinger

Zvi Selinger

Hebrew University of Jerusalem

Sandrine Humbert

Sandrine Humbert

Grenoble Alpes University

Nalin Rastogi

Nalin Rastogi

Institut Pasteur

Philippe Claeys

Philippe Claeys

Vrije Universiteit Brussel

Enrico Dinelli

Enrico Dinelli

University of Bologna

Stefan R. M. Ligtenberg

Stefan R. M. Ligtenberg

Utrecht University

Thomas D. Parsons

Thomas D. Parsons

University of North Texas

Robert Teasell

Robert Teasell

University of Western Ontario

Something went wrong. Please try again later.