Sourav Garg

1.0k total citations
25 papers, 461 citations indexed

About

Sourav Garg is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Sourav Garg has authored 25 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Computer Vision and Pattern Recognition, 16 papers in Aerospace Engineering and 6 papers in Electrical and Electronic Engineering. Recurrent topics in Sourav Garg's 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). Sourav Garg is often cited by papers focused on Advanced Image and Video Retrieval Techniques (21 papers), Robotics and Sensor-Based Localization (16 papers) and Indoor and Outdoor Localization Technologies (5 papers). Sourav Garg collaborates with scholars based in Australia, India and United States. Sourav Garg's 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 and has published in prestigious journals such as The International Journal of Robotics Research, IEEE Robotics and Automation Letters and IEEE Robotics & Automation Magazine.

In The Last Decade

Sourav Garg

24 papers receiving 452 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Sourav Garg Australia 12 359 278 81 49 38 25 461
Eric Royer France 9 368 1.0× 335 1.2× 88 1.1× 45 0.9× 19 0.5× 22 502
Konstantinos A. Tsintotas Greece 12 345 1.0× 300 1.1× 88 1.1× 40 0.8× 17 0.4× 35 503
Lucas Teixeira Switzerland 15 341 0.9× 379 1.4× 103 1.3× 41 0.8× 23 0.6× 26 491
João Paulo Lima Brazil 11 313 0.9× 170 0.6× 42 0.5× 30 0.6× 24 0.6× 66 463
Miguel Juliá Spain 7 294 0.8× 302 1.1× 47 0.6× 48 1.0× 37 1.0× 19 393
Ilya Afanasyev Russia 11 234 0.7× 209 0.8× 41 0.5× 29 0.6× 116 3.1× 32 407
André Treptow Germany 10 292 0.8× 204 0.7× 71 0.9× 47 1.0× 25 0.7× 12 390
Vincenzo Caglioti Italy 12 282 0.8× 193 0.7× 51 0.6× 40 0.8× 48 1.3× 47 404
Jae Shin Yoon United States 8 330 0.9× 119 0.4× 30 0.4× 36 0.7× 27 0.7× 16 424
Samarth Brahmbhatt United States 6 378 1.1× 330 1.2× 43 0.5× 37 0.8× 116 3.1× 12 488

Countries citing papers authored by Sourav Garg

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
2.
Garg, Sourav, et al.. (2024). QueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding. 13311–13317. 1 indexed citations
3.
Garg, Sourav, et al.. (2024). RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation. 4090–4097. 6 indexed citations
4.
Schubert, Stefan, Peer Neubert, Sourav Garg, Michael Milford, & Tobias Fischer. (2023). Visual Place Recognition: A Tutorial [Tutorial]. IEEE Robotics & Automation Magazine. 31(3). 139–153. 25 indexed citations
5.
Patel, Dhruv, et al.. (2023). GDIP: Gated Differentiable Image Processing for Object Detection in Adverse Conditions. 7083–7089. 38 indexed citations
6.
Keetha, Nikhil, Jay Karhade, Krishna Murthy Jatavallabhula, et al.. (2023). AnyLoc: Towards Universal Visual Place Recognition. IEEE Robotics and Automation Letters. 9(2). 1286–1293. 64 indexed citations
7.
Garg, Sourav, et al.. (2022). Improving Road Segmentation in Challenging Domains Using Similar Place Priors. IEEE Robotics and Automation Letters. 7(2). 3555–3562. 2 indexed citations
8.
Milford, Michael, et al.. (2022). MultiRes-NetVLAD: Augmenting Place Recognition Training With Low-Resolution Imagery. IEEE Robotics and Automation Letters. 7(2). 3882–3889. 27 indexed citations
9.
Garg, Sourav, et al.. (2022). Improving Worst Case Visual Localization Coverage via Place-Specific Sub-Selection in Multi-Camera Systems. IEEE Robotics and Automation Letters. 7(4). 10112–10119. 6 indexed citations
10.
Garg, Sourav, et al.. (2021). SeqMatchNet: Contrastive Learning with Sequence Matching for Place Recognition & Relocalization. 4 indexed citations
11.
Garg, Sourav, et al.. (2021). RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching. 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). 1593–1600. 20 indexed citations
12.
Garg, Sourav, Ben Harwood, Gaurangi Anand, & Michael Milford. (2020). Delta Descriptors: Change-Based Place Representation for Robust Visual Localization. IEEE Robotics and Automation Letters. 5(4). 5120–5127. 25 indexed citations
13.
Garg, Sourav, Niko Sünderhauf, Feras Dayoub, et al.. (2020). Semantics for Robotic Mapping, Perception and Interaction: A Survey. arXiv (Cornell University). 8(1–2). 1–224. 64 indexed citations
14.
Garg, Sourav, Niko Sünderhauf, Feras Dayoub, et al.. (2020). Semantics for Robotic Mapping, Perception and Interaction: A Survey. 27 indexed citations
15.
Garg, Sourav, Niko Suenderhauf, & Michael Milford. (2019). Semantic–geometric visual place recognition: a new perspective for reconciling opposing views. The International Journal of Robotics Research. 41(6). 573–598. 59 indexed citations
16.
Garg, Sourav & Michael Milford. (2017). Straightening sequence-search for appearance-invariant place recognition using robust motion estimation. QUT ePrints (Queensland University of Technology). 3 indexed citations
17.
Garg, Sourav, et al.. (2016). High-fidelity simulation for evaluating robotic vision performance. 2737–2744. 14 indexed citations
18.
Garg, Sourav, et al.. (2016). GAIT analysis for identification by using SVM with K-NN and NN techniques. 25. 259–263. 6 indexed citations
19.
Kumar, Swagat, et al.. (2014). A Tea-Serving Robot for Office Environment. Edge Hill University Research Information Repository (Edge Hill University). 1–6. 1 indexed citations
20.
Gupta, Meenakshi, et al.. (2014). A novel SURF-based algorithm for tracking a ‘Human’ in a dynamic environment. Edge Hill University Research Information Repository (Edge Hill University). 77. 1004–1009. 2 indexed citations

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.

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