Anuj Srivastava
- Computer Vision and Pattern Recognition top 0.1%
- Geometry and Topology top 0.05%
- Computational Mechanics top 0.5%
- Artificial Intelligence top 1%
- Signal Processing top 0.5%
- Co-authors
- S. K. JoshiWashington MioXiuwen LiuEric KlassenIan H. JermynSankaran SundaresanMohamed DaoudiUlf Grenander
- Topics
- Morphological variations and asymmetry (103 papers)Image Retrieval and Classification Techniques (44 papers)3D Shape Modeling and Analysis (27 papers)
- Journals
- Nucleic Acids ResearchJournal of NeuroscienceJournal of the American Statistical Association
- Partner nations
- United StatesFranceAustralia
In The Last Decade
Anuj Srivastava
237 papers receiving 8.1k citations
Hit Papers
Peers
Comparison fields: 5 of 189
- Computer Vision and Pattern Recognition 4.0k
- Geometry and Topology 2.5k
- Computational Mechanics 1.3k
- Artificial Intelligence 1.1k
- Signal Processing 781
Countries citing papers authored by Anuj Srivastava
This map shows the geographic impact of Anuj Srivastava'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 Anuj Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anuj Srivastava more than expected).
Fields of papers citing papers by Anuj Srivastava
This network shows the impact of papers produced by Anuj Srivastava. 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 Anuj Srivastava. The network helps show where Anuj Srivastava may publish in the future.
Co-authorship network of co-authors of Anuj Srivastava
This figure shows the co-authorship network connecting the top 25 collaborators of Anuj Srivastava. A scholar is included among the top collaborators of Anuj Srivastava 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 Anuj Srivastava. Anuj Srivastava 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 | 1 | |
| 3 | 8 | |
| 4 | 17 | |
| 5 | 26 | |
| 6 | 11 | |
| 7 | 32 | |
| 8 | A Geometric Framework For Density Modeling | 1 |
| 9 | Error Grid Analysis of Reference and Predicted Blood Glucose Level Values as Obtained from the Normal and Prediabetic Human Volunteers | 3 |
| 10 | 10 | |
| 11 | Challenges & Countermeasures in OpticalNoninvasive Blood Glucose Detection | 11 |
| 12 | Blood Glucose Monitoring Using Non InvasiveOptical Method: Design Limitations andChallenges | 25 |
| 13 | 21 | |
| 14 | Statistical Analysis and Modeling of Elastic Functions | 13 |
| 15 | Signal Estimation Under Random Time-Warpings and Nonlinear Signal Alignment | 24 |
| 16 | 25 | |
| 17 | Pose and Expression-Invariant 3D Face Recognition using Elastic Radial Curves | 2 |
| 18 | 288 | |
| 19 | Mapping genetic influences on brain fiber architecture with High Angular Resolution Diffusion Imaging (HARDI) | 5 |
| 20 | A geometric approach to shape clustering and learning | 3 |
About Anuj Srivastava
Anuj Srivastava is a scholar working on Geometry and Topology, Computer Vision and Pattern Recognition and Biophysics, having authored 250 papers that have together received 8.5k indexed citations. Recurring topics across this work include Morphological variations and asymmetry (103 papers), Image Retrieval and Classification Techniques (44 papers) and 3D Shape Modeling and Analysis (27 papers). The work is most often cited by research in Geometry and Topology (2.5k citations), Computer Vision and Pattern Recognition (4.0k citations) and Signal Processing (781 citations). Anuj Srivastava has collaborated with scholars based in United States, France and Australia. Frequent co-authors include S. K. Joshi, Washington Mio, Xiuwen Liu, Eric Klassen, Ian H. Jermyn, Sankaran Sundaresan, Mohamed Daoudi, Ulf Grenander, Boulbaba Ben Amor and Sebastian Kurtek. Their work appears in journals such as Nucleic Acids Research, Journal of Neuroscience and Journal of the American Statistical Association.
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.