Salvatore D’Avella

584 citations
31 papers · 366 indexed · h-index 11
Topics
Robot Manipulation and Learning (14 papers)Soft Robotics and Applications (8 papers)Robotics and Sensor-Based Localization (7 papers)
Partner nations
ItalyGermanyChina

In The Last Decade

Salvatore D’Avella

30 papers receiving 351 citations

Peers

Salvatore D’Avella
Comparison fields: 5 of 52
  • Control and Systems Engineering 124
  • Industrial and Manufacturing Engineering 97
  • Biomedical Engineering 85
  • Mechanical Engineering 83
  • Aerospace Engineering 80
Replace Kyoung-Taik Park with:
Kyoung-Taik Park South Korea
Yun-Hui Liu Hong Kong
Hairol Nizam Mohd Shah Malaysia
Adrián Peidró Spain
Olivier Kermorgant France
Jeff Wiegley United States
Ömür Aydoğmuş Türkiye
S. Hirai Japan
Scott Nokleby Canada
Salvatore D’Avella relative to Kyoung-Taik Park South Korea Kyoung-Taik Park's profile →
Citations per field
00.5×10×16.4×
Kyoung-Taik Park · 1×
Citations per year

Countries citing papers authored by Salvatore D’Avella

Since Specialization
Citations

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

Fields of papers citing papers by Salvatore D’Avella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Salvatore D’Avella. 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 Salvatore D’Avella. The network helps show where Salvatore D’Avella may publish in the future.

Co-authorship network of co-authors of Salvatore D’Avella

This figure shows the co-authorship network connecting the top 25 collaborators of Salvatore D’Avella. A scholar is included among the top collaborators of Salvatore D’Avella 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 Salvatore D’Avella. Salvatore D’Avella 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 11
2 15
3 0
4 3
5 4
6 4
7 2
8 1
9 7
10 6
11 14
12 7
13 4
14 3
15 4
16 7
17 20
18 45
19 7
20 61

About Salvatore D’Avella

Salvatore D’Avella is a scholar working on Industrial and Manufacturing Engineering, Media Technology and Control and Systems Engineering, having authored 31 papers that have together received 366 indexed citations. Recurring topics across this work include Robot Manipulation and Learning (14 papers), Soft Robotics and Applications (8 papers) and Robotics and Sensor-Based Localization (7 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (97 citations), Media Technology (57 citations) and Control and Systems Engineering (124 citations). Salvatore D’Avella has collaborated with scholars based in Italy, Germany and China. Frequent co-authors include Paolo Tripicchio, Carlo Alberto Avizzano, Paolo Nepa, Andrea Motroni, Alice Buffi, Fabio Bernardini, Máximo A. Roa, Werner Friedl, Philippe Velha and Xinghua Yu. Their work appears in journals such as Expert Systems with Applications, IEEE Access and Neurocomputing.

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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