Donatello Conte

2.9k total citations · 1 hit paper
48 papers, 1.5k citations indexed

About

Donatello Conte is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Donatello Conte has authored 48 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 8 papers in Biomedical Engineering. Recurrent topics in Donatello Conte's work include Video Surveillance and Tracking Methods (14 papers), Graph Theory and Algorithms (12 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Donatello Conte is often cited by papers focused on Video Surveillance and Tracking Methods (14 papers), Graph Theory and Algorithms (12 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Donatello Conte collaborates with scholars based in France, Italy and Vietnam. Donatello Conte's co-authors include Pasquale Foggia, Mario Vento, Carlo Sansone, Gennaro Percannella, Romain Raveaux, Gilles Venturini, Chloé Martineau, Ingrid Arnault, M. Vento and Vittorio Cuculo and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and Pattern Recognition.

In The Last Decade

Donatello Conte

43 papers receiving 1.5k citations

Hit Papers

THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION 2004 2026 2011 2018 2004 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Donatello Conte France 15 888 529 248 143 142 48 1.5k
Mineichi Kudo Japan 18 611 0.7× 734 1.4× 238 1.0× 109 0.8× 160 1.1× 111 1.7k
Prabir Kumar Biswas India 23 1.5k 1.7× 316 0.6× 107 0.4× 115 0.8× 108 0.8× 155 2.3k
Yi Liu China 21 539 0.6× 492 0.9× 104 0.4× 178 1.2× 113 0.8× 172 1.9k
Shuang Xu China 27 1.4k 1.5× 575 1.1× 156 0.6× 59 0.4× 391 2.8× 149 2.7k
Xin Jin China 23 1.1k 1.3× 345 0.7× 89 0.4× 161 1.1× 70 0.5× 166 1.7k
Driss Aboutajdine Morocco 19 797 0.9× 381 0.7× 318 1.3× 588 4.1× 110 0.8× 293 2.1k
Yong Song China 22 569 0.6× 428 0.8× 46 0.2× 216 1.5× 102 0.7× 108 2.0k
Gang Qian United States 18 749 0.8× 273 0.5× 123 0.5× 90 0.6× 103 0.7× 76 1.4k
Sheng-Jun Huang China 22 975 1.1× 2.0k 3.8× 211 0.9× 103 0.7× 78 0.5× 83 2.6k
Jinye Peng China 28 1.1k 1.2× 1000 1.9× 181 0.7× 66 0.5× 251 1.8× 237 2.9k

Countries citing papers authored by Donatello Conte

Since Specialization
Citations

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

Fields of papers citing papers by Donatello Conte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Donatello Conte

This figure shows the co-authorship network connecting the top 25 collaborators of Donatello Conte. A scholar is included among the top collaborators of Donatello Conte 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 Donatello Conte. Donatello Conte 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.
Boccignone, Giuseppe, Donatello Conte, Vittorio Cuculo, et al.. (2024). Enhancing rPPG pulse-signal recovery by facial sampling and PSD Clustering. Biomedical Signal Processing and Control. 101. 107158–107158. 3 indexed citations
2.
Vento, Mario, Pasquale Foggia, Donatello Conte, & Vincenzo Carletti. (2023). Proceedings of the 13th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition. SPIRE - Sciences Po Institutional REpository.
3.
Conte, Donatello, Giuliano Grossi, Raffaella Lanzarotti, Jianyi Lin, & Alessandro Petrini. (2021). Analysis of a parallel MCMC algorithm for graph coloring with nearly uniform balancing. Pattern Recognition Letters. 149. 30–36. 3 indexed citations
4.
Campetella, Marco, Claudia Fasolato, Donatello Conte, et al.. (2020). Physical-chemical studies on putrescine (butane-1,4-diamine) and its solutions: Experimental and computational investigations. Journal of Molecular Liquids. 322. 114568–114568. 3 indexed citations
5.
Conte, Donatello & Francesc Serratosa. (2020). Interactive online learning for graph matching using active strategies. Knowledge-Based Systems. 205. 106275–106275. 7 indexed citations
6.
Cortés, Xavier, Donatello Conte, & Hubert Cardot. (2019). Learning edit cost estimation models for graph edit distance. Pattern Recognition Letters. 125. 256–263. 9 indexed citations
7.
Raveaux, Romain, et al.. (2018). Learning error-correcting graph matching with a multiclass neural network. Pattern Recognition Letters. 134. 68–76. 11 indexed citations
8.
Alaei, Alireza, Donatello Conte, Chloé Martineau, & Romain Raveaux. (2018). Blind document image quality prediction based on modification of quality aware clustering method integrating a patch selection strategy. Expert Systems with Applications. 108. 183–192. 6 indexed citations
9.
Conte, Donatello, et al.. (2018). A local branching heuristic for solving a Graph Edit Distance Problem. Computers & Operations Research. 106. 225–235. 3 indexed citations
10.
Hafiane, Adel, et al.. (2016). Computer-aided detection system for nerve identification using ultrasound images: A comparative study. Informatics in Medicine Unlocked. 3. 29–43. 33 indexed citations
11.
Martineau, Chloé, et al.. (2016). A survey on image-based insect classification. Pattern Recognition. 65. 273–284. 152 indexed citations
12.
Hafiane, Adel, et al.. (2016). On-line learning dynamic models for nerve detection in ultrasound videos. HAL (Le Centre pour la Communication Scientifique Directe). 131–135. 4 indexed citations
13.
Conte, Donatello, et al.. (2013). A comparison of explicit and implicit graph embedding methods for pattern recognition. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
14.
Conte, Donatello, Pasquale Foggia, Gennaro Percannella, & Mario Vento. (2010). Performance Evaluation of a People Tracking System on PETS2009 Database. 119–126. 21 indexed citations
15.
Conte, Donatello, et al.. (2010). Counting Moving People in Videos by Salient Points Detection. 1743–1746. 26 indexed citations
16.
Conte, Donatello, et al.. (2009). EVALUATION AND IMPROVEMENTS OF THE LEVEL SET METHOD FOR RM IMAGES SEGMENTATION. 210–215. 1 indexed citations
17.
Conte, Donatello, et al.. (2009). An Algorithm for Detection of Partially Camouflaged People. 340–345. 9 indexed citations
18.
Conte, Donatello, Pasquale Foggia, & M. Vento. (2007). Challenging Complexity of Maximum Common Subgraph Detection Algorithms: A Performance Analysis of Three Algorithms on a Wide Database of Graphs. Journal of Graph Algorithms and Applications. 11(1). 99–143. 58 indexed citations
19.
Conte, Donatello, Pasquale Foggia, Jean-Michel Jolion, & Mario Vento. (2005). A graph-based, multi-resolution algorithm for tracking objects in presence of occlusions. Pattern Recognition. 39(4). 562–572. 11 indexed citations
20.
Conte, Donatello, Pasquale Foggia, Carlo Sansone, & Mario Vento. (2004). THIRTY YEARS OF GRAPH MATCHING IN PATTERN RECOGNITION. International Journal of Pattern Recognition and Artificial Intelligence. 18(3). 265–298. 763 indexed citations breakdown →

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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