Francesco Rovida

445 total citations
12 papers, 221 citations indexed

About

Francesco Rovida is a scholar working on Control and Systems Engineering, Artificial Intelligence and Industrial and Manufacturing Engineering. According to data from OpenAlex, Francesco Rovida has authored 12 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Control and Systems Engineering, 7 papers in Artificial Intelligence and 6 papers in Industrial and Manufacturing Engineering. Recurrent topics in Francesco Rovida's work include Robot Manipulation and Learning (9 papers), AI-based Problem Solving and Planning (7 papers) and Robotic Path Planning Algorithms (4 papers). Francesco Rovida is often cited by papers focused on Robot Manipulation and Learning (9 papers), AI-based Problem Solving and Planning (7 papers) and Robotic Path Planning Algorithms (4 papers). Francesco Rovida collaborates with scholars based in Denmark, Sweden and Germany. Francesco Rovida's co-authors include Volker Krüger, Volker Krueger, Ronald P. A. Petrick, Matthew Crosby, César Toscano, Germano Veiga, Mikkel Rath Pedersen, Matteo Fumagalli, Sven Behnke and Lazaros Nalpantidis and has published in prestigious journals such as Proceedings of the IEEE, Robotics and Computer-Integrated Manufacturing and Robotica.

In The Last Decade

Francesco Rovida

12 papers receiving 213 citations

Peers

Francesco Rovida
Comparison fields: 5 of 38
  • Control and Systems Engineering 95
  • Artificial Intelligence 88
  • Industrial and Manufacturing Engineering 87
  • Computer Vision and Pattern Recognition 49
  • Mechanical Engineering 30
Replace Jonathan Styrud with:
Jonathan Styrud Sweden
Matteo Iovino Sweden
Tim Niemueller Germany
Daniel Beßler Germany
Ishika Singh United States
Mihai Pomarlan Germany
Damien Pellier France
Humbert Fiorino France
Saddek Bensalem France
Nils T. Siebel Germany
Jonathan Styrud Sweden View profile →
Citations per field, relative to Francesco Rovida
Francesco Rovida · 1×
Citations per year, relative to Francesco Rovida
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Countries citing papers authored by Francesco Rovida

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Rovida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Rovida

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 9
2 6
3 28
4 24
5 58
6
Integrating mission, logistics, and task planning for skills-based robot control in industrial kitting applications
5
7 16
8 37
9
Planning for Robots with Skills
4
10 13
11 7
12 14

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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