Cícero Mota

24 papers and 160 indexed citations i.

About

Cícero Mota is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, Cícero Mota has authored 24 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Computer Vision and Pattern Recognition, 7 papers in Electrical and Electronic Engineering and 6 papers in Materials Chemistry. Recurrent topics in Cícero Mota’s work include Advanced Vision and Imaging (10 papers), Medical Image Segmentation Techniques (5 papers) and Advanced Image Processing Techniques (5 papers). Cícero Mota is often cited by papers focused on Advanced Vision and Imaging (10 papers), Medical Image Segmentation Techniques (5 papers) and Advanced Image Processing Techniques (5 papers). Cícero Mota collaborates with scholars based in Brazil, Germany and United States. Cícero Mota's co-authors include Til Aach, Erhardt Barth, H.O. Frota, Angsula Ghosh, Puspitapallab Chaudhuri, Matthias Mühlich, José Gabriel R. C. Gomes, Sérgio Michielon de Souza, Daniela Menegon Trichês and Jonas Gomes and has published in prestigious journals such as Journal of Applied Physics, Scientific Reports and IEEE Transactions on Image Processing.

In The Last Decade

Co-authorship network of co-authors of Cícero Mota i

Fields of papers citing papers by Cícero Mota

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Cícero Mota

Since Specialization
Citations

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

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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2025