Sourav Garg
- Computer Vision and Pattern Recognition top 5%
- Aerospace Engineering top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence
- Control and Systems Engineering
- Co-authors
- Michael MilfordNiko SuenderhaufK. Madhava KrishnaSwagat KumarNiko SünderhaufPeter CorkeJay KarhadeKrishna Murthy Jatavallabhula
- Topics
- Advanced Image and Video Retrieval Techniques (21 papers)Robotics and Sensor-Based Localization (16 papers)Indoor and Outdoor Localization Technologies (5 papers)
- Journals
- The International Journal of Robotics ResearchIEEE Robotics and Automation LettersIEEE Robotics & Automation Magazine
- Partner nations
- AustraliaIndiaUnited States
In The Last Decade
Sourav Garg
24 papers receiving 452 citations
Peers
Comparison fields: 5 of 54
- Computer Vision and Pattern Recognition 359
- Aerospace Engineering 278
- Electrical and Electronic Engineering 81
- Artificial Intelligence 49
- Control and Systems Engineering 38
Countries citing papers authored by Sourav Garg
This map shows the geographic impact of Sourav Garg'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 Sourav Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sourav Garg more than expected).
Fields of papers citing papers by Sourav Garg
This network shows the impact of papers produced by Sourav Garg. 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 Sourav Garg. The network helps show where Sourav Garg may publish in the future.
Co-authorship network of co-authors of Sourav Garg
This figure shows the co-authorship network connecting the top 25 collaborators of Sourav Garg. A scholar is included among the top collaborators of Sourav Garg 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 Sourav Garg. Sourav Garg 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 | 6 | |
| 4 | 25 | |
| 5 | 38 | |
| 6 | 64 | |
| 7 | 2 | |
| 8 | 27 | |
| 9 | 6 | |
| 10 | SeqMatchNet: Contrastive Learning with Sequence Matching for Place Recognition & Relocalization | 4 |
| 11 | 20 | |
| 12 | 25 | |
| 13 | 64 | |
| 14 | 27 | |
| 15 | 59 | |
| 16 | Straightening sequence-search for appearance-invariant place recognition using robust motion estimation | 3 |
| 17 | 14 | |
| 18 | 6 | |
| 19 | A Tea-Serving Robot for Office Environment | 1 |
| 20 | 2 |
About Sourav Garg
Sourav Garg is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Computer Graphics and Computer-Aided Design, having authored 25 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (21 papers), Robotics and Sensor-Based Localization (16 papers) and Indoor and Outdoor Localization Technologies (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (359 citations), Aerospace Engineering (278 citations) and Geology (34 citations). Sourav Garg has collaborated with scholars based in Australia, India and United States. Frequent co-authors include Michael Milford, Niko Suenderhauf, K. Madhava Krishna, Swagat Kumar, Niko Sünderhauf, Peter Corke, Jay Karhade, Krishna Murthy Jatavallabhula, Nikhil Keetha and Sebastian Scherer. Their work appears in journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and IEEE Robotics & Automation Magazine.
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.