Cosimo Distante

4.6k total citations · 1 hit paper
159 papers, 2.9k citations indexed

About

Cosimo Distante is a scholar working on Computer Vision and Pattern Recognition, Biomedical Engineering and Artificial Intelligence. According to data from OpenAlex, Cosimo Distante has authored 159 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Vision and Pattern Recognition, 26 papers in Biomedical Engineering and 22 papers in Artificial Intelligence. Recurrent topics in Cosimo Distante's work include Video Surveillance and Tracking Methods (25 papers), Advanced Chemical Sensor Technologies (19 papers) and Digital Holography and Microscopy (16 papers). Cosimo Distante is often cited by papers focused on Video Surveillance and Tracking Methods (25 papers), Advanced Chemical Sensor Technologies (19 papers) and Digital Holography and Microscopy (16 papers). Cosimo Distante collaborates with scholars based in Italy, France and Brazil. Cosimo Distante's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Optics Letters.

In The Last Decade

Cosimo Distante

145 papers receiving 2.7k citations

Hit Papers

Deep learning techniques for hyperspectral image analysis... 2024 2026 2025 2024 20 40 60

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Cosimo Distante Italy 28 962 732 443 410 339 159 2.9k
Marco Leo Italy 29 1.5k 1.5× 394 0.5× 184 0.4× 248 0.6× 317 0.9× 133 3.1k
Jie Qin China 30 2.0k 2.1× 398 0.5× 268 0.6× 255 0.6× 1.2k 3.7× 184 3.5k
Raimondo Schettini Italy 33 3.7k 3.9× 343 0.5× 921 2.1× 1.0k 2.5× 507 1.5× 275 5.1k
Farid Boussaïd Australia 30 1.5k 1.6× 946 1.3× 138 0.3× 258 0.6× 742 2.2× 151 3.4k
Xin Tong China 53 5.5k 5.7× 542 0.7× 261 0.6× 561 1.4× 351 1.0× 302 8.6k
Francisco del Pozo Spain 36 467 0.5× 323 0.4× 192 0.4× 354 0.9× 271 0.8× 164 4.8k
Nicolai Petkov Netherlands 31 2.2k 2.2× 203 0.3× 188 0.4× 403 1.0× 749 2.2× 137 4.2k
Xin Liu China 29 1.1k 1.2× 525 0.7× 40 0.1× 223 0.5× 324 1.0× 172 2.5k
Xu Li China 30 2.4k 2.5× 391 0.5× 144 0.3× 859 2.1× 477 1.4× 173 4.5k
Norimichi Tsumura Japan 21 728 0.8× 469 0.6× 571 1.3× 193 0.5× 46 0.1× 276 2.0k

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-authorship network of co-authors of Cosimo Distante

This figure shows the co-authorship network connecting the top 25 collaborators of Cosimo Distante. A scholar is included among the top collaborators of Cosimo Distante 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 Cosimo Distante. Cosimo Distante 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
1.
Ouafi, Abdelkrim, et al.. (2025). LoLA-SpecViT: Local attention SwiGLU vision transformer with LoRA for hyperspectral imaging. International Journal of Applied Earth Observation and Geoinformation. 144. 104924–104924.
3.
Clua, Esteban, et al.. (2025). AI‐Based Autonomous Sailboat Navigation: A Review. Journal of Field Robotics. 42(8). 4157–4180.
4.
Bougourzi, Fares, Cosimo Distante, Fadi Dornaika, et al.. (2024). COVID-19 Infection Percentage Estimation from Computed Tomography Scans: Results and Insights from the International Per-COVID-19 Challenge. Sensors. 24(5). 1557–1557. 1 indexed citations
5.
Bougourzi, Fares, Fadi Dornaika, Cosimo Distante, & Abdelmalik Taleb‐Ahmed. (2024). D-TrAttUnet: Toward hybrid CNN-transformer architecture for generic and subtle segmentation in medical images. Computers in Biology and Medicine. 176. 108590–108590. 9 indexed citations
6.
Bougourzi, Fares, Fadi Dornaika, Amir Nakib, Cosimo Distante, & Abdelmalik Taleb‐Ahmed. (2023). Deep-Covid-SEV: an Ensemble 2D and 3D CNN-Based Approach for Covid-19 Severity Prediction from 3D CT-SCANS. SPIRE - Sciences Po Institutional REpository. 1–5.
7.
8.
Distante, Cosimo, et al.. (2023). Complete holography‐based system for the identification of microparticles in water samples. Journal of Microscopy. 293(1). 38–58. 2 indexed citations
9.
Carcagnì, Pierluigi, et al.. (2023). An Investigation about Modern Deep Learning Strategies for Colon Carcinoma Grading. Sensors. 23(9). 4556–4556. 3 indexed citations
10.
Sergi, Ilaria, et al.. (2023). SpO2 Estimation Using Deep Neural Networks: A Comparative Study. 1–6. 2 indexed citations
11.
Distante, Cosimo, et al.. (2022). HF-SCA: Hands-Free Strong Customer Authentication Based on a Memory-Guided Attention Mechanisms. Journal of risk and financial management. 15(8). 342–342. 6 indexed citations
12.
Bougourzi, Fares, Cosimo Distante, Abdelkrim Ouafi, et al.. (2021). Per-COVID-19: A Benchmark Dataset for COVID-19 Percentage Estimation from CT-Scans. Journal of Imaging. 7(9). 189–189. 12 indexed citations
13.
Santos, Davi Henrique dos, Prisco Piscitelli, Alessandro Miani, et al.. (2021). Multivariate data driven prediction of COVID-19 dynamics: Towards new results with temperature, humidity and air quality data. Environmental Research. 204. 112348–112348. 13 indexed citations
14.
Bougourzi, Fares, et al.. (2021). Two Ensemble-CNN Approaches for Colorectal Cancer Tissue Type Classification. Journal of Imaging. 7(3). 51–51. 41 indexed citations
15.
Bougourzi, Fares, et al.. (2021). COVID-19 Recognition Using Ensemble-CNNs in Two New Chest X-ray Databases. Sensors. 21(5). 1742–1742. 37 indexed citations
16.
Lecciso, Flavia, Annalisa Levante, Rosa Angela Fabio, et al.. (2021). Emotional Expression in Children With ASD: A Pre-Study on a Two-Group Pre-Post-Test Design Comparing Robot-Based and Computer-Based Training. Frontiers in Psychology. 12. 678052–678052. 25 indexed citations
17.
Carcagnì, Pierluigi, Marco Del Coco, Marco Leo, & Cosimo Distante. (2015). Facial expression recognition and histograms of oriented gradients: a comprehensive study. SpringerPlus. 4(1). 645–645. 126 indexed citations
18.
Spagnolo, Paolo, Pier Luigi Mazzeo, & Cosimo Distante. (2014). Human Behavior Understanding in Networked Sensing: Theory and Applications of Networks of Sensors. CERN Bulletin. 2 indexed citations
19.
Cazzato, Dario, Marco Leo, & Cosimo Distante. (2014). A Statistical Approach to Automatically Detect How Many Persons Appear in a Video. 2014(1). 11–23. 1 indexed citations
20.
Distante, Cosimo. (2011). Wavelet Transform for Electronic Nose Signal Analysis. BiblioBoard Library Catalog (Open Research Library). 4 indexed citations

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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