Emanuele Magrini

666 citations
9 papers · 505 indexed · h-index 9
Topics
Robot Manipulation and Learning (7 papers)Teleoperation and Haptic Systems (4 papers)Muscle activation and electromyography studies (2 papers)
Partner nations
Italy

In The Last Decade

Emanuele Magrini

9 papers receiving 493 citations

Peers

Emanuele Magrini
Comparison fields: 5 of 54
  • Control and Systems Engineering 378
  • Biomedical Engineering 208
  • Mechanical Engineering 165
  • Industrial and Manufacturing Engineering 86
  • Computer Vision and Pattern Recognition 74
Replace Chiara Talignani Landi with:
Chiara Talignani Landi Italy
Ivan Lundberg Switzerland
Nicola Maria Ceriani Italy
Pietro Balatti Italy
Jun Kinugawa Japan
Mohammad Safeea Portugal
Gregory Rossano United States
Matteo Ragaglia Italy
José Saenz Germany
Aleš Vysocký Czechia
Emanuele Magrini relative to Chiara Talignani Landi Italy Chiara Talignani Landi's profile →
Citations per field
00.5×7.5×
Chiara Talignani Landi · 1×
Citations per year

Countries citing papers authored by Emanuele Magrini

Since Specialization
Citations

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

Fields of papers citing papers by Emanuele Magrini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Magrini

This figure shows the co-authorship network connecting the top 25 collaborators of Emanuele Magrini. A scholar is included among the top collaborators of Emanuele Magrini 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 Emanuele Magrini. Emanuele Magrini 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
1 124
2 35
3 71
4 12
5 17
6 12
7 24
8 119
9 91

About Emanuele Magrini

Emanuele Magrini is a scholar working on Medical Laboratory Technology, Control and Systems Engineering and Human-Computer Interaction, having authored 9 papers that have together received 505 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (7 papers), Teleoperation and Haptic Systems (4 papers) and Muscle activation and electromyography studies (2 papers). The work is most often cited by research in Control and Systems Engineering (378 citations), Industrial and Manufacturing Engineering (86 citations) and Human-Computer Interaction (39 citations). Emanuele Magrini has collaborated with scholars based in Italy. Frequent co-authors include Alessandro De Luca, Fabrizio Flacco, Claudio Gaz, Fabio Pini, Francesco Leali, Federica Ferraguti and Giuseppe Oriolo. Their work appears in journals such as Robotics and Computer-Integrated Manufacturing, Mechatronics and IFAC-PapersOnLine.

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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