Diego Nehab
- Computer Vision and Pattern Recognition top 1%
- Computer Graphics and Computer-Aided Design top 0.5%
- Computational Mechanics top 2%
- Geology top 2%
- Aerospace Engineering
- Co-authors
- Szymon RusinkiewiczJames DavisRavi RamamoorthiPedro V. SanderHugues HoppeJason LawrenceLei YangTim Weyrich
- Topics
- Computer Graphics and Visualization Techniques (35 papers)Advanced Vision and Imaging (30 papers)Advanced Image and Video Retrieval Techniques (12 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignSpace and Planetary ScienceComputer Vision and Pattern Recognition
- Partner nations
- United StatesBrazilUnited Kingdom
In The Last Decade
Diego Nehab
52 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 68
- Computer Vision and Pattern Recognition 1.0k
- Computer Graphics and Computer-Aided Design 688
- Computational Mechanics 381
- Geology 207
- Aerospace Engineering 76
Countries citing papers authored by Diego Nehab
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).
Fields of papers citing papers by Diego Nehab
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.
Co-authorship network of co-authors of Diego Nehab
This figure shows the co-authorship network connecting the top 25 collaborators of Diego Nehab. A scholar is included among the top collaborators of Diego Nehab 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 Diego Nehab. Diego Nehab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 9 | |
| 3 | 7 | |
| 4 | 7 | |
| 5 | Advances in 3D Shape Acquisition | 1 |
| 6 | 11 | |
| 7 | 7 | |
| 8 | 34 | |
| 9 | 1 | |
| 10 | 4 | |
| 11 | 27 | |
| 12 | 37 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 5 | |
| 16 | 38 | |
| 17 | 75 | |
| 18 | 5 | |
| 19 | 37 | |
| 20 | 10 |
About Diego Nehab
Diego Nehab is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Mechanics, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (35 papers), Advanced Vision and Imaging (30 papers) and Advanced Image and Video Retrieval Techniques (12 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (688 citations), Space and Planetary Science (67 citations) and Computer Vision and Pattern Recognition (1.0k citations). Diego Nehab has collaborated with scholars based in United States, Brazil and United Kingdom. Frequent co-authors include Szymon Rusinkiewicz, James Davis, Ravi Ramamoorthi, Pedro V. Sander, Hugues Hoppe, Jason Lawrence, Lei Yang, Tim Weyrich, Philip Shilane and John Isidoro. Their work appears in journals such as IEEE Transactions on Image Processing, ACM Transactions on Graphics and Health & Place.
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.