Anurag Mittal
- Computer Vision and Pattern Recognition top 1%
- Electrical and Electronic Engineering top 10%
- Computer Networks and Communications top 5%
- Aerospace Engineering top 10%
- Biomedical Engineering
- Co-authors
- Larry S. DavisAthira NambiarArpit JainNeeru SharmaRaj Kumar GuptaL.S. DavisYu CaoMoitreya Chatterjee
- Topics
- Advanced Image and Video Retrieval Techniques (18 papers)Video Surveillance and Tracking Methods (16 papers)Advanced Vision and Imaging (14 papers)
- Journals
- Pattern RecognitionInternational Journal of Computer VisionComputer Vision and Image Understanding
- Partner nations
- IndiaUnited StatesGermany
In The Last Decade
Anurag Mittal
51 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 958
- Electrical and Electronic Engineering 333
- Computer Networks and Communications 208
- Aerospace Engineering 160
- Biomedical Engineering 154
Countries citing papers authored by Anurag Mittal
This map shows the geographic impact of Anurag Mittal'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 Anurag Mittal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anurag Mittal more than expected).
Fields of papers citing papers by Anurag Mittal
This network shows the impact of papers produced by Anurag Mittal. 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 Anurag Mittal. The network helps show where Anurag Mittal may publish in the future.
Co-authorship network of co-authors of Anurag Mittal
This figure shows the co-authorship network connecting the top 25 collaborators of Anurag Mittal. A scholar is included among the top collaborators of Anurag Mittal 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 Anurag Mittal. Anurag Mittal 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 | 30 | |
| 4 | 12 | |
| 5 | 7 | |
| 6 | 13 | |
| 7 | 11 | |
| 8 | 14 | |
| 9 | 2 | |
| 10 | 99 | |
| 11 | Deep Neural Networks with Inexact Matching for Person Re-Identification | 70 |
| 12 | 1 | |
| 13 | 3 | |
| 14 | 4 | |
| 15 | 8 | |
| 16 | 1 | |
| 17 | Generalized Multi-Sensor Planning | 1 |
| 18 | 77 | |
| 19 | 9 | |
| 20 | 54 |
About Anurag Mittal
Anurag Mittal is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Human-Computer Interaction, having authored 53 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (18 papers), Video Surveillance and Tracking Methods (16 papers) and Advanced Vision and Imaging (14 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (958 citations), Ophthalmology (104 citations) and Media Technology (80 citations). Anurag Mittal has collaborated with scholars based in India, United States and Germany. Frequent co-authors include Larry S. Davis, Athira Nambiar, Arpit Jain, Neeru Sharma, Raj Kumar Gupta, L.S. Davis, Yu Cao, Moitreya Chatterjee, Visvanathan Ramesh and Nikos Paragios. Their work appears in journals such as Pattern Recognition, International Journal of Computer Vision and Computer Vision and Image Understanding.
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.