Naureen Mahmood
- Computer Vision and Pattern Recognition top 0.5%
- Computational Mechanics top 0.5%
- Control and Systems Engineering top 2%
- Computer Graphics and Computer-Aided Design top 0.5%
- Biomedical Engineering top 10%
- Co-authors
- Michael J. BlackMatthew LoperJavier RomeroGerard Pons‐MollMatthew Q. HillConnor J. PardeAlice J. O’TooleYing Hu
- Topics
- Human Motion and Animation (7 papers)Human Pose and Action Recognition (7 papers)3D Shape Modeling and Analysis (6 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputational Mechanics
- Journals
- Psychological ScienceACM Transactions on GraphicsIEEE Transactions on Visualization and Computer Graphics
- Partner nations
- GermanyCanadaUnited States
In The Last Decade
Naureen Mahmood
10 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 95
- Computer Vision and Pattern Recognition 2.0k
- Computational Mechanics 1.4k
- Control and Systems Engineering 642
- Computer Graphics and Computer-Aided Design 473
- Biomedical Engineering 279
Countries citing papers authored by Naureen Mahmood
This map shows the geographic impact of Naureen Mahmood'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 Naureen Mahmood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Naureen Mahmood more than expected).
Fields of papers citing papers by Naureen Mahmood
This network shows the impact of papers produced by Naureen Mahmood. 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 Naureen Mahmood. The network helps show where Naureen Mahmood may publish in the future.
Co-authorship network of co-authors of Naureen Mahmood
This figure shows the co-authorship network connecting the top 25 collaborators of Naureen Mahmood. A scholar is included among the top collaborators of Naureen Mahmood 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 Naureen Mahmood. Naureen Mahmood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 39 | |
| 5 | 7 | |
| 6 | 43 | |
| 7 | 0 | |
| 8 | SMPLbreakdown → | 2076 |
| 9 | 186 | |
| 10 | 32 | |
| 11 | 195 | |
| 12 | Designing Video Games and Interactive Applications to Enhance Learning in Children with Autism Spectrum Disorders | 1 |
About Naureen Mahmood
Naureen Mahmood is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Computational Mechanics, having authored 12 papers that have together received 2.6k indexed citations. Recurring topics across this work include Human Motion and Animation (7 papers), Human Pose and Action Recognition (7 papers) and 3D Shape Modeling and Analysis (6 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (473 citations), Computer Vision and Pattern Recognition (2.0k citations) and Computational Mechanics (1.4k citations). Naureen Mahmood has collaborated with scholars based in Germany, Canada and United States. Frequent co-authors include Michael J. Black, Matthew Loper, Javier Romero, Gerard Pons‐Moll, Matthew Q. Hill, Connor J. Parde, Alice J. O’Toole, Ying Hu, Anne Thaler and Betty J. Mohler. Their work appears in journals such as Psychological Science, ACM Transactions on Graphics and IEEE Transactions on Visualization and Computer Graphics.
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.