Ugo Pattacini

1.7k citations
45 papers · 1.0k indexed · h-index 18
Topics
Robot Manipulation and Learning (27 papers)Robotic Locomotion and Control (13 papers)Social Robot Interaction and HRI (10 papers)

In The Last Decade

Ugo Pattacini

45 papers receiving 1.0k citations

Peers

Ugo Pattacini
Comparison fields: 5 of 87
  • Control and Systems Engineering 510
  • Social Psychology 334
  • Biomedical Engineering 259
  • Artificial Intelligence 254
  • Computer Vision and Pattern Recognition 248
Replace Vadim Tikhanoff with:
Vadim Tikhanoff Italy
Tetsunari Inamura Japan
Paul Fitzpatrick United States
Aaron Edsinger United States
Matej Hoffmann Czechia
Alexander Stoytchev United States
F. Guenter Switzerland
Eris Chinellato Spain
Tevfik Metin Sezgin Türkiye
Mehmet R. Doğar United Kingdom
Ugo Pattacini relative to Vadim Tikhanoff Italy Vadim Tikhanoff's profile →
Citations per field
00.5×1.5×1.9×
Vadim Tikhanoff · 1×
Citations per year

Countries citing papers authored by Ugo Pattacini

Since Specialization
Citations

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

Fields of papers citing papers by Ugo Pattacini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ugo Pattacini

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 9
3 4
4 68
5 7
6 13
7 11
8 3
9 52
10 37
11 39
12 14
13 11
14 31
15 22
16 11
17 21
18 27
19 99
20 7

About Ugo Pattacini

Ugo Pattacini is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Social Psychology, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Robot Manipulation and Learning (27 papers), Robotic Locomotion and Control (13 papers) and Social Robot Interaction and HRI (10 papers). The work is most often cited by research in Control and Systems Engineering (510 citations), Human-Computer Interaction (118 citations) and Social Psychology (334 citations). Ugo Pattacini has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giorgio Metta, Lorenzo Natale, Francesco Nori, Vadim Tikhanoff, Giulio Sandini, Alessandro Roncone, Matej Hoffmann, Peter Ford Dominey, Ilaria Gori and Jocelyne Ventre‐Dominey. Their work appears in journals such as PLoS ONE, IEEE Transactions on Robotics and IEEE Robotics and Automation Letters.

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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