Agrim Gupta

2.8k total citations · 2 hit papers
5 papers, 1.2k citations indexed

About

Agrim Gupta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Agrim Gupta has authored 5 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Media Technology. Recurrent topics in Agrim Gupta's work include Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Agrim Gupta is often cited by papers focused on Advanced Image and Video Retrieval Techniques (3 papers), Multimodal Machine Learning Applications (2 papers) and Generative Adversarial Networks and Image Synthesis (1 paper). Agrim Gupta collaborates with scholars based in United States, Switzerland and Israel. Agrim Gupta's co-authors include Piotr Dollár, Ross Girshick, Li Fei-Fei, Justin Johnson, Justin Johnson, Alexandre Alahi, Rahul Sharma, Ashwin Agrawal, N. Chaddha and Manling Li and has published in prestigious journals such as Infoscience (Ecole Polytechnique Fédérale de Lausanne).

In The Last Decade

Agrim Gupta

4 papers receiving 1.1k citations

Hit Papers

LVIS: A Dataset for Large Vocabulary Instance Segmentation 2018 2026 2020 2023 2019 2018 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agrim Gupta United States 4 997 496 75 59 40 5 1.2k
Holger Caesar Netherlands 7 772 0.8× 324 0.7× 49 0.7× 106 1.8× 40 1.0× 19 948
Ayan Kumar Bhunia United Kingdom 17 787 0.8× 293 0.6× 55 0.7× 21 0.4× 63 1.6× 30 970
Xiaohang Zhan Hong Kong 13 700 0.7× 416 0.8× 28 0.4× 30 0.5× 55 1.4× 19 907
Eunbyung Park South Korea 9 490 0.5× 185 0.4× 98 1.3× 69 1.2× 83 2.1× 20 658
Renrui Zhang China 10 453 0.5× 312 0.6× 32 0.4× 50 0.8× 92 2.3× 18 732
Arsenii Ashukha Russia 4 520 0.5× 181 0.4× 93 1.2× 19 0.3× 52 1.3× 6 694
Wenzhao Zheng China 12 483 0.5× 199 0.4× 33 0.4× 82 1.4× 58 1.4× 31 640
Jihan Yang Hong Kong 9 529 0.5× 491 1.0× 16 0.2× 68 1.2× 52 1.3× 13 747
Fangneng Zhan Singapore 17 787 0.8× 170 0.3× 126 1.7× 33 0.6× 92 2.3× 29 941
Roman Suvorov Russia 5 490 0.5× 107 0.2× 93 1.2× 45 0.8× 45 1.1× 17 682

Countries citing papers authored by Agrim Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Agrim Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agrim Gupta

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

All Works

5 of 5 papers shown
1.
Fei-Fei, Li, et al.. (2024). HourVideo: 1-Hour Video-Language Understanding. 53168–53197.
2.
Gupta, Agrim, Piotr Dollár, & Ross Girshick. (2019). LVIS: A Dataset for Large Vocabulary Instance Segmentation. 5351–5359. 638 indexed citations breakdown →
3.
Johnson, Justin, Agrim Gupta, & Li Fei-Fei. (2018). Image Generation from Scene Graphs. 1219–1228. 453 indexed citations breakdown →
4.
Gupta, Agrim, Justin Johnson, Alexandre Alahi, & Li Fei-Fei. (2017). Characterizing and Improving Stability in Neural Style Transfer. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 4087–4096. 66 indexed citations
5.
Chaddha, N., Rahul Sharma, Ashwin Agrawal, & Agrim Gupta. (2002). Text segmentation in mixed-mode images. 2. 1356–1361. 19 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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