Riccardo March

1.3k total citations
44 papers, 815 citations indexed

About

Riccardo March is a scholar working on Computer Vision and Pattern Recognition, Mathematical Physics and Computational Mechanics. According to data from OpenAlex, Riccardo March has authored 44 papers receiving a total of 815 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Vision and Pattern Recognition, 10 papers in Mathematical Physics and 10 papers in Computational Mechanics. Recurrent topics in Riccardo March's work include Medical Image Segmentation Techniques (11 papers), Numerical methods in inverse problems (10 papers) and Advanced Numerical Analysis Techniques (8 papers). Riccardo March is often cited by papers focused on Medical Image Segmentation Techniques (11 papers), Numerical methods in inverse problems (10 papers) and Advanced Numerical Analysis Techniques (8 papers). Riccardo March collaborates with scholars based in Italy, United States and Portugal. Riccardo March's co-authors include Gianpietro Del Piero, Giovanni Lancioni, Sung Ha Kang, Italo Capuzzo Dolcetta, Piero Barone, Selim Esedoḡlu, Giovanni Bellettini, S. Dell’Agnello, Pierpaolo Loreti and Jorge Páramos and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and Physics Letters B.

In The Last Decade

Riccardo March

43 papers receiving 754 citations

Peers

Riccardo March
Comparison fields: 5 of 70
  • Computer Vision and Pattern Recognition 320
  • Computational Mechanics 199
  • Mechanics of Materials 145
  • Computational Theory and Mathematics 142
  • Materials Chemistry 119
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Citations per field, relative to Riccardo March
Riccardo March · 1×
Citations per year, relative to Riccardo March
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Countries citing papers authored by Riccardo March

Since Specialization
Citations

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

Fields of papers citing papers by Riccardo March

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Riccardo March

This figure shows the co-authorship network connecting the top 25 collaborators of Riccardo March. A scholar is included among the top collaborators of Riccardo March 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 Riccardo March. Riccardo March 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
# Work Indexed citations
1 5
2 1
3 1
4 1
5 16
6 5
7 5
8 19
9 2
10 52
11 11
12 46
13 75
14 4
15 43
16 13
17 6
18 16
19
On the super-resolution properties of Prony's method
3
20 32

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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