Daniele De Gregorio

500 total citations
15 papers, 270 citations indexed

About

Daniele De Gregorio is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Cognitive Neuroscience. According to data from OpenAlex, Daniele De Gregorio has authored 15 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 6 papers in Control and Systems Engineering and 5 papers in Cognitive Neuroscience. Recurrent topics in Daniele De Gregorio's work include Robot Manipulation and Learning (5 papers), Advanced Vision and Imaging (4 papers) and Muscle activation and electromyography studies (4 papers). Daniele De Gregorio is often cited by papers focused on Robot Manipulation and Learning (5 papers), Advanced Vision and Imaging (4 papers) and Muscle activation and electromyography studies (4 papers). Daniele De Gregorio collaborates with scholars based in Italy, Saudi Arabia and United Kingdom. Daniele De Gregorio's co-authors include Claudio Melchiorri, Gianluca Palli, Salvatore Pirozzi, Roberto Meattini, Umberto Scarcia, Simone Benatti, Luca Benini, Matteo Poggi, Alessio Tonioni and Luigi Di Stefano and has published in prestigious journals such as IEEE Access, ACS Photonics and IEEE Transactions on Automation Science and Engineering.

In The Last Decade

Daniele De Gregorio

15 papers receiving 260 citations

Peers

Daniele De Gregorio
Comparison fields: 5 of 59
  • Biomedical Engineering 111
  • Control and Systems Engineering 87
  • Computer Vision and Pattern Recognition 87
  • Cognitive Neuroscience 64
  • Industrial and Manufacturing Engineering 43
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Citations per field, relative to Daniele De Gregorio
Daniele De Gregorio · 1×
Citations per year, relative to Daniele De Gregorio
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Countries citing papers authored by Daniele De Gregorio

Since Specialization
Citations

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

Fields of papers citing papers by Daniele De Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniele De Gregorio. 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 Daniele De Gregorio. The network helps show where Daniele De Gregorio may publish in the future.

Co-authorship network of co-authors of Daniele De Gregorio

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

All Works

15 of 15 papers shown
# Work Indexed citations
1 14
2 23
3 4
4 11
5 30
6 2
7 1
8 9
9 3
10 1
11 83
12 65
13 5
14 13
15 6

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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2026