Marco Piastra

699 citations
35 papers · 468 indexed · h-index 10
Topics
Behavioral Health and Interventions (4 papers)Robot Manipulation and Learning (3 papers)Point processes and geometric inequalities (3 papers)
Partner nations
ItalyJapanUnited States

In The Last Decade

Marco Piastra

32 papers receiving 457 citations

Peers

Marco Piastra
Comparison fields: 5 of 114
  • Computer Vision and Pattern Recognition 147
  • Control and Systems Engineering 97
  • Artificial Intelligence 93
  • Biomedical Engineering 87
  • Physiology 52
Replace Yifei Zhang with:
Yifei Zhang China
Yue Wen China
Francisco Luna-Perejón Spain
Julia Fink Switzerland
Jiewei Jiang China
Ahsen Tahir Pakistan
Chakarida Nukoolkit Thailand
Nick Cheney United States
Mohammad Fraiwan Jordan
Darren Dancey United Kingdom
Marco Piastra relative to Yifei Zhang China Yifei Zhang's profile →
Citations per field
00.5×5.1×
Yifei Zhang · 1×
Citations per year

Countries citing papers authored by Marco Piastra

Since Specialization
Citations

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

Fields of papers citing papers by Marco Piastra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Piastra

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Piastra. A scholar is included among the top collaborators of Marco Piastra 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 Marco Piastra. Marco Piastra 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 0
3 2
4 3
5 4
6 13
7 7
8 5
9 50
10 2
11 4
12 1
13 7
14 8
15 7
16 19
17
What's in a fuzzy set?
0
18
[Diffuse axonal lesions in childhood].
10
19 7
20 67

About Marco Piastra

Marco Piastra is a scholar working on Applied Psychology, General Decision Sciences and Computer Vision and Pattern Recognition, having authored 35 papers that have together received 468 indexed citations. Recurring topics across this work include Behavioral Health and Interventions (4 papers), Robot Manipulation and Learning (3 papers) and Point processes and geometric inequalities (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (147 citations), Applied Psychology (36 citations) and Computational Mathematics (4 citations). Marco Piastra has collaborated with scholars based in Italy, Japan and United States. Frequent co-authors include Gian Paolo Incremona, Antonella Ferrara, Patrizia Catellani, Valentina Carfora, Francesco Leporati, Emanuele Torti, Epifanio G. Virga, Danilo Pau, Francesco Ria and Achille Stabile. Their work appears in journals such as Intensive Care Medicine, Frontiers in Psychology and Soft Matter.

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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