Antonio Sgorbissa

2.6k citations
137 papers · 1.6k · h-index 22

Impact in

Papers in

Antonio Sgorbissa

128 papers receiving 1.5k citations

Peers

Antonio Sgorbissa
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 805
  • Control and Systems Engineering 352
  • Aerospace Engineering 362
  • Social Psychology 259
  • Artificial Intelligence 417
Replace Ross A. Knepper with:
Ross A. Knepper United States
Nak Young Chong Japan
Thomas Kollar United States
Miguel Á. Salichs Spain
David Portugal Portugal
Hema Swetha Koppula United States
Paul E. Rybski United States
Marc Hanheide United Kingdom
Cipriano Galindo Spain
Renato Zaccaria Italy
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Citations per year

Countries citing papers authored by Antonio Sgorbissa

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Sgorbissa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Antonio Sgorbissa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Antonio Sgorbissa Line = papers co-authored together Antonio Sgorbissa links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201387
2 201279
3 202165
4 201163
5 201852
6 201750
7 200349
8 201947
9 201439
10 201137
11 202235
12 202035
13 200532
14 201530
15 201128
16 201827
17
A distributed architecture for symbolic data fusion
200726
18 200325
19 201724
20 201224

About Antonio Sgorbissa

Antonio Sgorbissa is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Control and Systems Engineering and Social Psychology, having authored 137 papers that have together received 1.6k indexed citations. Recurring topics across this work include Robotic Path Planning Algorithms (46 papers), Robotics and Sensor-Based Localization (42 papers), Social Robot Interaction and HRI (29 papers), Robotics and Automated Systems (25 papers), Context-Aware Activity Recognition Systems (20 papers), Modular Robots and Swarm Intelligence (17 papers), AI in Service Interactions (15 papers) and Distributed Control Multi-Agent Systems (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (805 citations), Control and Systems Engineering (352 citations), Aerospace Engineering (362 citations), Social Psychology (259 citations) and Artificial Intelligence (417 citations). Antonio Sgorbissa has collaborated with scholars based in Italy, United Kingdom and Sweden. Frequent co-authors include Renato Zaccaria, Carmine Tommaso Recchiuto, Fulvio Mastrogiovanni, Barbara Bruno, Maurizio Piaggio, Tullio Vernazza, Angelo Morro, Giorgio Cannata, Linda Battistuzzi and Luca Iocchi. Their work appears in journals such as International Journal of Social Robotics, Robotics and Autonomous Systems, IEEE Transactions on Robotics, Journal of Intelligent & Robotic Systems and Robotica.

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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