Paolo Arcara

608 citations
9 papers · 462 indexed · h-index 7
Topics
Teleoperation and Haptic Systems (5 papers)Tactile and Sensory Interactions (3 papers)Robot Manipulation and Learning (3 papers)
Journals
IEEE Transactions on Control Systems TechnologyRobotics and Autonomous SystemsArchivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna)
Partner nations
ItalyNetherlands

In The Last Decade

Paolo Arcara

9 papers receiving 430 citations

Peers

Paolo Arcara
Comparison fields: 5 of 38
  • Mechanical Engineering 349
  • Control and Systems Engineering 249
  • Ocean Engineering 154
  • Biomedical Engineering 114
  • Surgery 55
Replace Takashi Imaida with:
Takashi Imaida Japan
D.-S. Kwon South Korea
Kouhei Ohnishi Japan
Daisuke Yashiro Japan
K. Takeo Japan
N. Diolaiti Italy
Lorenzo Moriello Italy
Saghir Munir United States
J. Heindl Germany
Sabri Tosunoglu United States
Paolo Arcara relative to Takashi Imaida Japan Takashi Imaida's profile →
Citations per field
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Citations per year

Countries citing papers authored by Paolo Arcara

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Arcara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Arcara

This figure shows the co-authorship network connecting the top 25 collaborators of Paolo Arcara. A scholar is included among the top collaborators of Paolo Arcara 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 Paolo Arcara. Paolo Arcara 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
#WorkIndexed citations
1
La mente en John Searle: intencionalidad y causalidad
2
2 7
3 2
4 329
5 18
6 9
7 6
8 8
9 81

About Paolo Arcara

Paolo Arcara is a scholar working on Control and Systems Engineering, Human-Computer Interaction and Cognitive Neuroscience, having authored 9 papers that have together received 462 indexed citations. Recurring topics across this work include Teleoperation and Haptic Systems (5 papers), Tactile and Sensory Interactions (3 papers) and Robot Manipulation and Learning (3 papers). The work is most often cited by research in Control and Systems Engineering (249 citations), Ocean Engineering (154 citations) and Mechanical Engineering (349 citations). Paolo Arcara has collaborated with scholars based in Italy and Netherlands. Frequent co-authors include Claudio Melchiorri, Marco Lovera, S. Bittanti, Gabriele Vassura, Luigi Di Stefano, Stefano Mattoccia and Stefano Stramigioli. Their work appears in journals such as IEEE Transactions on Control Systems Technology, Robotics and Autonomous Systems and Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna).

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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