Stefano Caselli

112 papers receiving 1.5k citations

Peers

Stefano Caselli
Comparison fields: 5 of 96
  • Computer Vision and Pattern Recognition 615
  • Control and Systems Engineering 693
  • Human-Computer Interaction 147
  • Aerospace Engineering 370
  • Industrial and Manufacturing Engineering 125
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Cipriano Galindo Spain
Luis Montano Spain
Juan‐Antonio Fernández‐Madrigal Spain
Anelia Angelova United States
Pedro J. Sanz Spain
Tsutomu Hasegawa Japan
Dezhen Song United States
Torsten Kröger Germany
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Citations per year

Countries citing papers authored by Stefano Caselli

Since Specialization
Citations

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

Fields of papers citing papers by Stefano Caselli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefano Caselli, 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 Stefano Caselli Line = papers co-authored together Stefano Caselli links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200687
2 201572
3 200466
4 200661
5 201760
6 201255
7 201655
8 201642
9 201440
10 201138
11 201035
12 201133
13 200330
14 201030
15 200530
16 201428
17 201527
18 200226
19 200426
20 200226

About Stefano Caselli

Stefano Caselli is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Aerospace Engineering, Mechanical Engineering and Computer Networks and Communications, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (42 papers), Robotics and Sensor-Based Localization (41 papers), Robotic Path Planning Algorithms (24 papers), Teleoperation and Haptic Systems (18 papers), Real-Time Systems Scheduling (10 papers), Manufacturing Process and Optimization (9 papers), Robotic Mechanisms and Dynamics (8 papers) and Hand Gesture Recognition Systems (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (615 citations), Control and Systems Engineering (693 citations), Human-Computer Interaction (147 citations), Aerospace Engineering (370 citations) and Industrial and Manufacturing Engineering (125 citations). Stefano Caselli has collaborated with scholars based in Italy, Sweden and United States. Frequent co-authors include Jacopo Aleotti, Monica Reggiani, Dario Lodi Rizzini, Francesco Zanichelli, Fabio Oleari, Michele Amoretti, A. Zappettini, N. Zambelli, G. Benassi and M. Bettelli. Their work appears in journals such as Robotics and Autonomous Systems, Virtual Reality, Journal of Parallel and Distributed Computing, IEEE Robotics and Automation Letters and IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans.

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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