Cosimo Distante

4.6k citations
159 papers · 2.9k indexed · 1 hit paper · h-index 28

Impact in

Papers in

Cosimo Distante

145 papers receiving 2.7k citations

Hit Papers

Deep learning techniques for hyperspectral image analysis in agriculture: A review 2024 · 69 citations
69202420262025204060

Peers

Cosimo Distante
Comparison fields: 5 of 166
  • Computer Vision and Pattern Recognition 962
  • Media Technology 410
  • Human-Computer Interaction 192
  • Acoustics and Ultrasonics 26
  • Bioengineering 123
Replace Francisco Falcone with:
Francisco Falcone Spain
Farid Boussaïd Australia
Jiaying Liu China
Xu Li China
Marco Leo Italy
Carlos Marques Portugal
Luciano Tarricone Italy
Francisco del Pozo Spain
Pei Zhang China
Amy Loutfi Sweden
Cosimo Distante relative to Francisco Falcone Spain Francisco Falcone's profile →
Citations per field
00.5×5.1×
Francisco Falcone · 1×
Citations per year

Countries citing papers authored by Cosimo Distante

Since Specialization
Citations

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

Fields of papers citing papers by Cosimo Distante

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Cosimo Distante, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cosimo Distante Line = papers co-authored together Cosimo Distante links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 159 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018196
2 2011159
3 2002149
4 2006128
5 2019128
6 2015126
7 2002103
8 202378
9 202070
10
Deep learning techniques for hyperspectral image analysis in agriculture: A review
Hit paper breakdown →
202469
11 202058
12 201153
13 201551
14 201849
15 202048
16 201446
17 202141
18 200541
19 200341
20 202040

About Cosimo Distante

Cosimo Distante is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction, Bioengineering and Health Informatics, having authored 159 papers that have together received 2.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (25 papers), Advanced Chemical Sensor Technologies (19 papers), Digital Holography and Microscopy (16 papers), Advanced Vision and Imaging (12 papers), Gaze Tracking and Assistive Technology (12 papers), Image Processing Techniques and Applications (12 papers), Anomaly Detection Techniques and Applications (12 papers) and COVID-19 diagnosis using AI (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (962 citations), Media Technology (410 citations), Human-Computer Interaction (192 citations), Acoustics and Ultrasonics (26 citations) and Bioengineering (123 citations). Cosimo Distante has collaborated with scholars based in Italy, France and Brazil. Frequent co-authors include Marco Leo, Pietro Siciliano, Pierluigi Carcagnì, Alessandro Leone, Pietro Ferraro, Pasquale Memmolo, Melania Paturzo, Dario Cazzato, Marco Del Coco and Krishna Persaud. Their work appears in journals such as Sensors, Sensors and Actuators B Chemical, Optics and Lasers in Engineering, International Journal of Environmental Research and Public Health and Pattern Recognition Letters.

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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