Diego Nehab

32 papers and 766 indexed citations i.

About

Diego Nehab is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Mechanics. According to data from OpenAlex, Diego Nehab has authored 32 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computer Vision and Pattern Recognition, 24 papers in Computer Graphics and Computer-Aided Design and 12 papers in Computational Mechanics. Recurrent topics in Diego Nehab’s work include Computer Graphics and Visualization Techniques (24 papers), Advanced Vision and Imaging (20 papers) and 3D Shape Modeling and Analysis (8 papers). Diego Nehab is often cited by papers focused on Computer Graphics and Visualization Techniques (24 papers), Advanced Vision and Imaging (20 papers) and 3D Shape Modeling and Analysis (8 papers). Diego Nehab collaborates with scholars based in Brazil, United States and United Kingdom. Diego Nehab's co-authors include Szymon Rusinkiewicz, Ravi Ramamoorthi, James Davis, Hugues Hoppe, Pedro V. Sander, Jason Lawrence, Lei Yang, Tim Weyrich, Philip Shilane and Pitchaya Sitthi‐Amorn and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and Computer Graphics Forum.

In The Last Decade

Co-authorship network of co-authors of Diego Nehab i

Fields of papers citing papers by Diego Nehab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diego Nehab

Since Specialization
Citations

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