Michele Volpi

3.4k total citations · 1 hit paper
61 papers, 2.4k citations indexed

About

Michele Volpi is a scholar working on Media Technology, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michele Volpi has authored 61 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Media Technology, 25 papers in Atmospheric Science and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michele Volpi's work include Remote-Sensing Image Classification (28 papers), Remote Sensing and Land Use (15 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Michele Volpi is often cited by papers focused on Remote-Sensing Image Classification (28 papers), Remote Sensing and Land Use (15 papers) and Advanced Image and Video Retrieval Techniques (12 papers). Michele Volpi collaborates with scholars based in Switzerland, United Kingdom and Spain. Michele Volpi's co-authors include Devis Tuia, Mikhaïl Kanevski, Jordi Muñoz-Marı́, Lorenzo Bruzzone, Benjamin Kellenberger, Gustau Camps‐Valls, Vittorio Ferrari, Diego Marcos, Francesca Bovolo and Giona Matasci and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Michele Volpi

59 papers receiving 2.3k citations

Hit Papers

A Survey of Active Learning Algorithms for Supervised Rem... 2011 2026 2016 2021 2011 100 200 300 400

Peers

Michele Volpi
Comparison fields: 5 of 109
  • Media Technology 1.4k
  • Computer Vision and Pattern Recognition 766
  • Atmospheric Science 712
  • Ecology 606
  • Artificial Intelligence 520
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Zhiyong Lv China
Κωνσταντίνος Καράντζαλος Greece
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Jefersson A. dos Santos Brazil View profile →
Citations per field, relative to Michele Volpi
Michele Volpi · 1×
Citations per year, relative to Michele Volpi
Michele Volpi · 1×

Countries citing papers authored by Michele Volpi

Since Specialization
Citations

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

Fields of papers citing papers by Michele Volpi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Volpi

This figure shows the co-authorship network connecting the top 25 collaborators of Michele Volpi. A scholar is included among the top collaborators of Michele Volpi 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 Michele Volpi. Michele Volpi 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 3
2 2
3 2
4 0
5 0
6 1
7 5
8 3
9 2
10 2
11 25
12 4
13 24
14 75
15 70
16 55
17
Investigating the feature extraction framework for domain adaptation in remote sensing image classification
1
18 40
19
Supervised Change Detection in VHR Images Using Support Vector Machines and Contextual Information
2
20 1

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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