Animesh Garg

233 total papers · 5.2k total citations
70 papers, 2.2k citations indexed

About

Animesh Garg is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Animesh Garg has authored 70 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 28 papers in Artificial Intelligence and 21 papers in Control and Systems Engineering. Recurrent topics in Animesh Garg's work include Robot Manipulation and Learning (20 papers), Reinforcement Learning in Robotics (15 papers) and Surgical Simulation and Training (14 papers). Animesh Garg is often cited by papers focused on Robot Manipulation and Learning (20 papers), Reinforcement Learning in Robotics (15 papers) and Surgical Simulation and Training (14 papers). Animesh Garg collaborates with scholars based in United States, Canada and United Kingdom. Animesh Garg's co-authors include Silvio Savarese, Ken Goldberg, Li Fei-Fei, Yuke Zhu, Danfei Xu, Siddarth Sen, Sanjay Krishnan, Pieter Abbeel, Dieter Fox and Stephen McKinley and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, The International Journal of Robotics Research and Medical Physics.

In The Last Decade

Animesh Garg

69 papers receiving 2.1k citations

Hit Papers

ProgPrompt: Generating Si... 2023 2026 2024 2023 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

  1. ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
    2023 249 citations Ishika Singh, Valts Blukis et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Animesh Garg 863 740 702 689 342 70 2.2k
Yangming Li 541 0.6× 815 1.1× 853 1.2× 350 0.5× 223 0.7× 107 2.6k
Sachin Patil 1.4k 1.6× 513 0.7× 1.3k 1.8× 534 0.8× 189 0.6× 42 2.7k
Kris Hauser 1.4k 1.6× 428 0.6× 1.5k 2.1× 982 1.4× 107 0.3× 130 3.1k
Peter Allen 519 0.6× 150 0.2× 883 1.3× 673 1.0× 114 0.3× 57 1.7k
Chelsea Finn 943 1.1× 1.5k 2.0× 1.1k 1.5× 388 0.6× 33 0.1× 91 2.8k
Baopu Li 1.7k 2.0× 590 0.8× 140 0.2× 235 0.3× 152 0.4× 133 3.3k
A. Frank van der Stappen 877 1.0× 219 0.3× 753 1.1× 398 0.6× 34 0.1× 87 1.8k
Jian Guo 394 0.5× 236 0.3× 262 0.4× 996 1.4× 578 1.7× 168 1.9k
F.L. Merat 430 0.5× 189 0.3× 1.2k 1.7× 575 0.8× 41 0.1× 44 2.1k
Erion Plaku 982 1.1× 367 0.5× 395 0.6× 169 0.2× 36 0.1× 69 1.6k

Countries citing papers authored by Animesh Garg

Since Specialization
Citations

This map shows the geographic impact of Animesh 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 Animesh Garg with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Animesh Garg more than expected).

Fields of papers citing papers by Animesh Garg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Animesh 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 Animesh Garg. The network helps show where Animesh Garg may publish in the future.

Co-authorship network of co-authors of Animesh Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Animesh Garg. A scholar is included among the top collaborators of Animesh 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 Animesh Garg. Animesh Garg is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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