D-Index & Metrics Best Publications

D-Index & Metrics

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 102 Citations 130,488 408 World Ranking 133 National Ranking 1

Research.com Recognitions

Awards & Achievements

2016 - Evolutionary Computation Pioneer Award, IEEE Computational Intelligence Society

2015 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) For seminal contributions to the foundations of swarm intelligence, including ant colony optimization and swarm robotics

2015 - IEEE Frank Rosenblatt Award

2010 - Member of Academia Europaea

2006 - IEEE Fellow For contributions to ant colony optimization and swarm intelligence.


What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Programming language
  • Algorithm

The scientist’s investigation covers issues in Artificial intelligence, Ant colony optimization algorithms, Metaheuristic, Mathematical optimization and Swarm intelligence. His study in Robot, Swarm robotics, Robotics, Mobile robot and Ant robotics is done as part of Artificial intelligence. The various areas that Marco Dorigo examines in his Ant colony optimization algorithms study include Artificial life, Travelling salesman problem and Extremal optimization.

His Metaheuristic research is multidisciplinary, relying on both Optimization problem, Combinatorial optimization and Artificial Ants. His work on Local search, Tabu search, Simulated annealing and Meta-optimization as part of his general Mathematical optimization study is frequently connected to Simple, thereby bridging the divide between different branches of science. Marco Dorigo has researched Swarm intelligence in several fields, including Evolutionary algorithm, Path and Continuous optimization.

His most cited work include:

  • Ant system: optimization by a colony of cooperating agents (8983 citations)
  • Ant Colony Optimization (6551 citations)
  • Ant colony system: a cooperative learning approach to the traveling salesman problem (6282 citations)

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

Marco Dorigo spends much of his time researching Artificial intelligence, Robot, Swarm robotics, Particle physics and Swarm behaviour. His Artificial intelligence study combines topics from a wide range of disciplines, such as Swarm intelligence and Machine learning. His studies in Robot integrate themes in fields like Distributed computing, Evolutionary algorithm, Task and Human–computer interaction.

His research in Swarm robotics intersects with topics in Evolutionary robotics and Simulation. His Ant colony optimization algorithms research is multidisciplinary, incorporating elements of Parallel metaheuristic, Local search, Combinatorial optimization and Travelling salesman problem. His work in Ant colony tackles topics such as Metaheuristic which are related to areas like Optimization problem and Tabu search.

He most often published in these fields:

  • Artificial intelligence (39.27%)
  • Robot (33.10%)
  • Swarm robotics (22.16%)

What were the highlights of his more recent work (between 2014-2021)?

  • Particle physics (17.67%)
  • Nuclear physics (15.71%)
  • Branching fraction (8.98%)

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

His primary areas of study are Particle physics, Nuclear physics, Branching fraction, Robot and Meson. His CP violation, Large Hadron Collider, Luminosity and Muon study in the realm of Particle physics connects with subjects such as Luminosity. Marco Dorigo interconnects Dalitz plot, Standard Model, Cabibbo–Kobayashi–Maskawa matrix and Asymmetry in the investigation of issues within CP violation.

His Robot study which covers Swarm behaviour that intersects with State. His Swarm robotics study is focused on Artificial intelligence in general. His study ties his expertise on Swarm intelligence together with the subject of Artificial intelligence.

Between 2014 and 2021, his most popular works were:

  • Observation of J/psi p Resonances Consistent with Pentaquark States in Lambda(0)(b) -> J/psi K(-)p Decays (658 citations)
  • LHCb detector performance (546 citations)
  • Observation of the rare Bs0 →µ+µ− decay from the combined analysis of CMS and LHCb data (372 citations)

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

  • Artificial intelligence
  • Programming language
  • Particle physics

Marco Dorigo mostly deals with Particle physics, Nuclear physics, Luminosity, Branching fraction and Large Hadron Collider. His Particle physics study frequently intersects with other fields, such as State. His Branching fraction research includes themes of Nuclear magnetic resonance, Invariant mass and Lepton.

His Large Hadron Collider study combines topics in areas such as Range, Detector and Higgs boson. In Hadron, he works on issues like Monte Carlo method, which are connected to Swarm robotics. The concepts of his Swarm robotics study are interwoven with issues in Design pattern, Software design pattern and Management science.

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

Ant system: optimization by a colony of cooperating agents

M. Dorigo;V. Maniezzo;A. Colorni.
systems man and cybernetics (1996)

15070 Citations

Ant Colony Optimization

M. Dorigo;M. Birattari;T. Stutzle.

13231 Citations

Ant colony optimization: artificial ants as a computational intelligence technique

Marco Dorigo;Mauro Birattari;Thomas Stützle.
IEEE Computational Intelligence Magazine (2006)

13227 Citations

Ant Colony Optimization.

Marco Dorigo;Mauro Birattari.
Encyclopedia of Machine Learning (2010)

11495 Citations

Ant colony system: a cooperative learning approach to the traveling salesman problem

M. Dorigo;L.M. Gambardella.
IEEE Transactions on Evolutionary Computation (1997)

10474 Citations

Swarm intelligence: from natural to artificial systems

Eric Bonabeau;Marco Dorigo;Guy Theraulaz.

9852 Citations

Optimization, Learning and Natural Algorithms

M. Dorigo.
Ph.D. Thesis, Politecnico di Milano, Italy (1992)

4953 Citations

Distributed Optimization by Ant Colonies

Alberto Colorni;Marco Dorigo;Vittorio Maniezzo;Francisco Varela.
european conference on artificial life (1992)

4777 Citations

Ant algorithms for discrete optimization

Marco Dorigo;Gianni Di Caro;Luca M. Gambardella.
Artificial Life (1999)

3937 Citations

Ant colony optimization: a new meta-heuristic

M. Dorigo;G. Di Caro.
congress on evolutionary computation (1999)

3896 Citations

Editorial Boards

Swarm Intelligence
(Impact Factor: 3.727)

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Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking d-index is inferred from publications deemed to belong to the considered discipline.

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