Matteo Iovino

413 total citations · 1 hit paper
9 papers, 211 citations indexed

About

Matteo Iovino is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Matteo Iovino has authored 9 papers receiving a total of 211 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 2 papers in Control and Systems Engineering and 2 papers in Mechanical Engineering. Recurrent topics in Matteo Iovino's work include Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (6 papers) and AI-based Problem Solving and Planning (2 papers). Matteo Iovino is often cited by papers focused on Reinforcement Learning in Robotics (7 papers), Evolutionary Algorithms and Applications (6 papers) and AI-based Problem Solving and Planning (2 papers). Matteo Iovino collaborates with scholars based in Sweden, Australia and Italy. Matteo Iovino's co-authors include Christian Smith, Jonathan Styrud, Petter Ögren, Mikael Norrlöf, Mårten Björkman, Pietro Falco, Jen Jen Chung, Roland Siegwart and Iolanda Leite and has published in prestigious journals such as Robotics and Autonomous Systems, IEEE Transactions on Automation Science and Engineering and Research Padua Archive (University of Padua).

In The Last Decade

Matteo Iovino

7 papers receiving 204 citations

Hit Papers

A survey of Behavior Trees in robotics and AI 2022 2026 2023 2024 2022 40 80 120

Peers

Matteo Iovino
Comparison fields: 5 of 35
  • Artificial Intelligence 138
  • Control and Systems Engineering 68
  • Computer Vision and Pattern Recognition 42
  • Mechanical Engineering 21
  • Computational Theory and Mathematics 18
Replace Jonathan Styrud with:
Jonathan Styrud Sweden
Tim Niemueller Germany
Humbert Fiorino France
Damien Pellier France
Ishika Singh United States
J. A. Becerra Spain
Francesco Rovida Denmark
Daniel Beßler Germany
Asil Kaan Bozcuoğlu Germany
Mihai Pomarlan Germany
Jonathan Styrud Sweden View profile →
Citations per field, relative to Matteo Iovino
Matteo Iovino · 1×
Citations per year, relative to Matteo Iovino
Matteo Iovino · 1×

Countries citing papers authored by Matteo Iovino

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Iovino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Iovino

This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Iovino. A scholar is included among the top collaborators of Matteo Iovino 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 Matteo Iovino. Matteo Iovino is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
# Work Indexed citations
1 0
2 0
3 2
4 15
5 5
6
A survey of Behavior Trees in robotics and AI breakdown →
132
7 17
8 30
9 10

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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