Matteo Tomasi

43 total papers · 610 total citations
30 papers, 436 citations indexed

About

Matteo Tomasi is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Matteo Tomasi has authored 30 papers receiving a total of 436 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 5 papers in Cognitive Neuroscience and 5 papers in Media Technology. Recurrent topics in Matteo Tomasi's work include Advanced Vision and Imaging (10 papers), Image Processing Techniques and Applications (5 papers) and Advanced Image Processing Techniques (4 papers). Matteo Tomasi is often cited by papers focused on Advanced Vision and Imaging (10 papers), Image Processing Techniques and Applications (5 papers) and Advanced Image Processing Techniques (4 papers). Matteo Tomasi collaborates with scholars based in United States, Spain and Italy. Matteo Tomasi's co-authors include Eduardo Ros, Javier Díaz, Gang Luo, Shrinivas Pundlik, Mauricio Vanegas, Francisco Barranco, Karl Pauwels, Marc M. Van Hulle, Alex R. Bowers and Kevin Houston and has published in prestigious journals such as AIAA Journal, Computer Physics Communications and Investigative Ophthalmology & Visual Science.

In The Last Decade

Matteo Tomasi

27 papers receiving 423 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Tomasi 243 83 75 64 57 30 436
Mauricio Vanegas 172 0.7× 66 0.8× 53 0.7× 90 1.4× 24 0.4× 17 369
Thomas J. Olson 168 0.7× 82 1.0× 57 0.8× 79 1.2× 37 0.6× 33 462
Yunyi Li 94 0.4× 57 0.7× 28 0.4× 46 0.7× 41 0.7× 40 430
Zhuming Ai 226 0.9× 15 0.2× 32 0.4× 38 0.6× 64 1.1× 34 460
Jeffrey B. Mulligan 143 0.6× 22 0.3× 29 0.4× 224 3.5× 14 0.2× 44 484
R. Safaee‐Rad 257 1.1× 17 0.2× 43 0.6× 22 0.3× 138 2.4× 27 413
Zhi Lu 174 0.7× 36 0.4× 30 0.4× 21 0.3× 23 0.4× 27 410
Quan Zhou 138 0.6× 106 1.3× 52 0.7× 16 0.3× 25 0.4× 55 398
Nabil Ouerhani 346 1.4× 58 0.7× 33 0.4× 148 2.3× 40 0.7× 24 482
Haibin Cai 211 0.9× 22 0.3× 18 0.2× 77 1.2× 11 0.2× 36 417

Countries citing papers authored by Matteo Tomasi

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Tomasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Tomasi

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026