Gaurav Garg

47 total papers · 1.1k total citations
28 papers, 708 citations indexed

About

Gaurav Garg is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Gaurav Garg has authored 28 papers receiving a total of 708 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 6 papers in Cognitive Neuroscience. Recurrent topics in Gaurav Garg's work include Advanced Vision and Imaging (6 papers), EEG and Brain-Computer Interfaces (4 papers) and Computer Graphics and Visualization Techniques (4 papers). Gaurav Garg is often cited by papers focused on Advanced Vision and Imaging (6 papers), EEG and Brain-Computer Interfaces (4 papers) and Computer Graphics and Visualization Techniques (4 papers). Gaurav Garg collaborates with scholars based in India, United States and Malta. Gaurav Garg's co-authors include Marc Levoy, Hendrik P. A. Lensch, Mark Horowitz, Pradeep Sen, Stephen R. Marschner, Billy Chen, Lalit Garg, Chinmay Chakraborty, Emeka Chukwu and Nidal Nasser and has published in prestigious journals such as IEEE Access, ACM Transactions on Graphics and Journal of the American Medical Informatics Association.

In The Last Decade

Gaurav Garg

26 papers receiving 669 citations

Author Peers

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

Author						Papers	Cites
Gaurav Garg	334	146	110	103	83	28	708
Lei Xiao	313 0.9×	87 0.6×	52 0.5×	50 0.5×	81 1.0×	27	686
Sanjeev J. Koppal	409 1.2×	71 0.5×	130 1.2×	50 0.5×	30 0.4×	64	758
Patrick Hanrahan	539 1.6×	127 0.9×	158 1.4×	85 0.8×	8 0.1×	23	891
Yi Wei	548 1.6×	130 0.9×	87 0.8×	94 0.9×	14 0.2×	31	790
Lei Sun	479 1.4×	16 0.1×	262 2.4×	118 1.1×	147 1.8×	39	721
Tongbo Chen	463 1.4×	279 1.9×	69 0.6×	16 0.2×	12 0.1×	26	660
Xiaogang Xu	595 1.8×	43 0.3×	161 1.5×	79 0.8×	5 0.1×	31	751
Shinsaku Hiura	498 1.5×	57 0.4×	224 2.0×	18 0.2×	6 0.1×	66	667
Xiao Ma	158 0.5×	14 0.1×	208 1.9×	106 1.0×	476 5.7×	33	732
Stamatios Georgoulis	492 1.5×	61 0.4×	60 0.5×	348 3.4×	6 0.1×	19	908

Countries citing papers authored by Gaurav Garg

Since Specialization

Citations

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

Fields of papers citing papers by Gaurav Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gaurav Garg

This figure shows the co-authorship network connecting the top 25 collaborators of Gaurav Garg. A scholar is included among the top collaborators of Gaurav 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 Gaurav Garg. Gaurav 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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