Marco Bressan

116 total papers · 1.3k total citations
46 papers, 535 citations indexed

About

Marco Bressan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Marco Bressan has authored 46 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 10 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Marco Bressan's work include ECG Monitoring and Analysis (9 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Complexity and Algorithms in Graphs (7 papers). Marco Bressan is often cited by papers focused on ECG Monitoring and Analysis (9 papers), Cardiac electrophysiology and arrhythmias (8 papers) and Complexity and Algorithms in Graphs (7 papers). Marco Bressan collaborates with scholars based in Italy, Spain and France. Marco Bressan's co-authors include Jordi Vitrià, Stefano Leucci, Alessandro Panconesi, D. Guillamet, Jiang Duan, Guoping Qiu, Ravi Kumar, Flavio Chierichetti, Enoch Peserico and G. Bortolan and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Pattern Recognition.

In The Last Decade

Marco Bressan

42 papers receiving 501 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marco Bressan 262 157 89 81 66 46 535
Zhengming Ma 289 1.1× 219 1.4× 79 0.9× 75 0.9× 80 1.2× 60 509
Neveen I. Ghali 283 1.1× 228 1.5× 36 0.4× 45 0.6× 38 0.6× 56 587
Barry Drake 131 0.5× 172 1.1× 58 0.7× 108 1.3× 23 0.3× 26 575
J. Martín 51 0.2× 156 1.0× 80 0.9× 45 0.6× 47 0.7× 51 592
Yasuo Matsuyama 202 0.8× 207 1.3× 40 0.4× 277 3.4× 12 0.2× 62 592
Chao Huang 159 0.6× 263 1.7× 35 0.4× 29 0.4× 78 1.2× 31 482
Ghufran Ahmad Khan 246 0.9× 278 1.8× 14 0.2× 44 0.5× 34 0.5× 25 571
Rajib Kumar Jha 403 1.5× 153 1.0× 55 0.6× 25 0.3× 70 1.1× 46 563
Jie Zhou 239 0.9× 224 1.4× 39 0.4× 60 0.7× 30 0.5× 27 500
René Alquézar 286 1.1× 223 1.4× 11 0.1× 58 0.7× 19 0.3× 46 482

Countries citing papers authored by Marco Bressan

Since Specialization
Citations

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

Fields of papers citing papers by Marco Bressan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Bressan

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Bressan. A scholar is included among the top collaborators of Marco Bressan 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 Marco Bressan. Marco Bressan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026