Rodrigo Veras

145 total papers · 1.5k total citations
85 papers, 961 citations indexed

About

Rodrigo Veras is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Rodrigo Veras has authored 85 papers receiving a total of 961 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Computer Vision and Pattern Recognition, 31 papers in Artificial Intelligence and 31 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Rodrigo Veras's work include Digital Imaging for Blood Diseases (29 papers), AI in cancer detection (23 papers) and Retinal Imaging and Analysis (18 papers). Rodrigo Veras is often cited by papers focused on Digital Imaging for Blood Diseases (29 papers), AI in cancer detection (23 papers) and Retinal Imaging and Analysis (18 papers). Rodrigo Veras collaborates with scholars based in Brazil, Portugal and United States. Rodrigo Veras's co-authors include Romuere Silva, Kelson Aires, Flávio H. D. Araújo, Luis H. S. Vogado, F.N.S. Medeiros, Fátima N. S. de Medeiros, Geraldo L. B. Ramalho, João Manuel R. S. Tavares, André M. Santana and André Soares and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Rodrigo Veras

68 papers receiving 912 citations

Author Peers

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

Author Last Decade Papers Cites
Rodrigo Veras 612 366 325 147 103 85 961
Romuere Silva 577 0.9× 392 1.1× 520 1.6× 54 0.4× 118 1.1× 67 1.1k
Mohammad Farukh Hashmi 540 0.9× 257 0.7× 267 0.8× 33 0.2× 112 1.1× 92 1.2k
Edward Rajan Samuel Nadar 246 0.4× 335 0.9× 296 0.9× 140 1.0× 63 0.6× 72 1.1k
Muhammad Owais 423 0.7× 473 1.3× 309 1.0× 135 0.9× 43 0.4× 92 1.2k
Niladri B. Puhan 577 0.9× 214 0.6× 154 0.5× 166 1.1× 125 1.2× 101 1.1k
R. S. Sabeenian 290 0.5× 225 0.6× 145 0.4× 98 0.7× 86 0.8× 84 818
Evangelos Dermatas 454 0.7× 262 0.7× 411 1.3× 154 1.0× 62 0.6× 72 991
Md. Nahiduzzaman 270 0.4× 453 1.2× 317 1.0× 95 0.6× 31 0.3× 45 1.0k
Flávio H. D. Araújo 483 0.8× 439 1.2× 507 1.6× 77 0.5× 56 0.5× 59 991
Mohamed Hamed N. Taha 612 1.0× 415 1.1× 245 0.8× 49 0.3× 60 0.6× 29 1.2k

Countries citing papers authored by Rodrigo Veras

Since Specialization
Citations

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

Fields of papers citing papers by Rodrigo Veras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rodrigo Veras

This figure shows the co-authorship network connecting the top 25 collaborators of Rodrigo Veras. A scholar is included among the top collaborators of Rodrigo Veras 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 Rodrigo Veras. Rodrigo Veras 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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