Deepti Pachauri
Impact in
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- Graph Theory and Algorithms
- Advanced Image and Video Retrieval Techniques
- Medical Image Segmentation Techniques
Papers in
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- Medical Image Segmentation Techniques 3
- Advanced Image and Video Retrieval Techniques 3
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- Morphological variations and asymmetry 2
- Co-authors
- Risi Kondor (4 shared papers)Vikas Singh (1 shared paper)Vikas Singh (6 shared papers)Moo K. Chung (3 shared papers)Chris Hinrichs (2 shared papers)Sterling C. Johnson (1 shared paper)Sterling C. Johnson (2 shared papers)Won Hwa Kim (2 shared papers)
- Journals
- IEEE Transactions on Medical Imaging (1 paper)Journal of Machine Learning Research (1 paper)NeuroImage (1 paper)JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH (1 paper)The Journal of Obstetrics and Gynecology of India (1 paper)
- Partner nations
- United StatesIndia
In The Last Decade
Deepti Pachauri
11 papers receiving 225 citations
Peers
Comparison fields: 5 of 58
- Computer Vision and Pattern Recognition 108
- Computational Mathematics 3
- Computational Theory and Mathematics 52
- Biophysics 14
- Computer Graphics and Computer-Aided Design 8
Countries citing papers authored by Deepti Pachauri
This map shows the geographic impact of Deepti Pachauri'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 Deepti Pachauri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepti Pachauri more than expected).
Fields of papers citing papers by Deepti Pachauri
This network shows the impact of papers produced by Deepti Pachauri. 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 Deepti Pachauri. The network helps show where Deepti Pachauri may publish in the future.
Co-authors
The 20 scholars most cited alongside Deepti Pachauri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Solving the multi-way matching problem by permutation synchronization | 2013 | 88 |
| 2 | 2011 | 63 | |
| 3 | Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination. | 2012 | 29 |
| 4 | 2014 | 20 | |
| 5 | Permutation Diffusion Maps (PDM) with Application to the Image Association Problem in Computer Vision | 2014 | 12 |
| 6 | 2022 | 5 | |
| 7 | Incorporating Domain Knowledge in Matching Problems via Harmonic Analysis. | 2012 | 5 |
| 8 | 2008 | 5 | |
| 9 | S n FFT: a Julia toolkit for Fourier analysis of functions over permutations | 2015 | 3 |
| 10 | 2018 | 2 | |
| 11 | Enhancing women entrepreneurship in different small scale industrial sectors of Agra | 2012 | 1 |
| 12 | 2021 | 0 | |
| 13 | 2021 | 0 |
About Deepti Pachauri
Deepti Pachauri is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology, Signal Processing, Agronomy and Crop Science and Artificial Intelligence, having authored 13 papers that have together received 233 indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers), Morphological variations and asymmetry (2 papers), Algorithms and Data Compression (2 papers), Livestock Management and Performance Improvement (2 papers), Pregnancy and Medication Impact (1 paper), Alzheimer's disease research and treatments (1 paper) and Pregnancy-related medical research (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (108 citations), Computational Mathematics (3 citations), Computational Theory and Mathematics (52 citations), Biophysics (14 citations) and Computer Graphics and Computer-Aided Design (8 citations). Deepti Pachauri has collaborated with scholars based in United States and India. Frequent co-authors include Risi Kondor, Vikas Singh, Vikas Singh, Moo K. Chung, Chris Hinrichs, Sterling C. Johnson, Sterling C. Johnson, Won Hwa Kim, Charles R. Hatt and Ozioma C. Okonkwo. Their work appears in journals such as IEEE Transactions on Medical Imaging, Journal of Machine Learning Research, NeuroImage, JOURNAL OF CLINICAL AND DIAGNOSTIC RESEARCH and The Journal of Obstetrics and Gynecology of India.
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.