Supreeth Achar
Impact in
- Instrumentation top 5%
- Advanced Optical Sensing Technologies
-
- Advanced Vision and Imaging
- Robotic Path Planning Algorithms
Papers in
-
- Advanced Vision and Imaging 7
- Advanced Image and Video Retrieval Techniques 5
- Robotic Path Planning Algorithms 3
- Co-authors
- Srinivasa G. NarasimhanStephen NuskeSanjiv SinghKiriakos N. KutulakosLuke YoderSebastian SchererC. V. JawaharAndrew Chambers
- Journals
- ACM Transactions on Graphics (4 papers)Journal of Field Robotics (1 paper)Autonomous Robots (1 paper)Adaptive Agents and Multi-Agents Systems (2 papers)Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) (1 paper)
- Partner nations
- United StatesIndiaCanada
In The Last Decade
Supreeth Achar
21 papers receiving 818 citations
Peers
Comparison fields: 5 of 76
- Instrumentation 109
- Computer Vision and Pattern Recognition 383
- Plant Science 368
- Analytical Chemistry 89
- Acoustics and Ultrasonics 8
Countries citing papers authored by Supreeth Achar
This map shows the geographic impact of Supreeth Achar'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 Supreeth Achar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Supreeth Achar more than expected).
Fields of papers citing papers by Supreeth Achar
This network shows the impact of papers produced by Supreeth Achar. 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 Supreeth Achar. The network helps show where Supreeth Achar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Supreeth Achar, 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 | 2024 | 1 | |
| 2 | 2021 | 70 | |
| 3 | 2018 | 3 | |
| 4 | 2018 | 5 | |
| 5 | 2017 | 63 | |
| 6 | 2015 | 75 | |
| 7 | 2013 | 17 | |
| 8 | 2012 | 110 | |
| 9 | 2011 | 11 | |
| 10 | 2011 | 134 | |
| 11 | 2011 | 8 | |
| 12 | 2011 | 57 | |
| 13 | 2011 | 23 | |
| 14 | 2011 | 21 | |
| 15 | 2011 | 26 | |
| 16 | 2010 | 1 | |
| 17 | 2008 | 3 | |
| 18 | 2008 | 11 | |
| 19 | 2008 | 4 | |
| 20 | 2008 | 40 |
About Supreeth Achar
Supreeth Achar is a scholar working on Computer Vision and Pattern Recognition, Media Technology, Instrumentation, Computer Graphics and Computer-Aided Design and Aerospace Engineering, having authored 21 papers that have together received 860 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Robotics and Sensor-Based Localization (7 papers), Advanced Image and Video Retrieval Techniques (5 papers), Horticultural and Viticultural Research (4 papers), Remote Sensing in Agriculture (3 papers), Smart Agriculture and AI (3 papers), Remote Sensing and LiDAR Applications (3 papers) and Robotic Path Planning Algorithms (3 papers). The work is most often cited by research in Instrumentation (109 citations), Computer Vision and Pattern Recognition (383 citations), Plant Science (368 citations), Analytical Chemistry (89 citations) and Acoustics and Ultrasonics (8 citations). Supreeth Achar has collaborated with scholars based in United States, India and Canada. Frequent co-authors include Srinivasa G. Narasimhan, Stephen Nuske, Sanjiv Singh, Kiriakos N. Kutulakos, Luke Yoder, Sebastian Scherer, C. V. Jawahar, Andrew Chambers, Matthew O’Toole and Joern Rehder. Their work appears in journals such as ACM Transactions on Graphics, Journal of Field Robotics, Autonomous Robots, Adaptive Agents and Multi-Agents Systems and Research Showcase @ Carnegie Mellon University (Carnegie Mellon University).
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.