Dhruv Batra

329 total papers · 47.0k total citations
109 papers, 20.4k citations indexed

About

Dhruv Batra is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Dhruv Batra has authored 109 papers receiving a total of 20.4k indexed citations (citations by other indexed papers that have themselves been cited), including 87 papers in Computer Vision and Pattern Recognition, 67 papers in Artificial Intelligence and 18 papers in Aerospace Engineering. Recurrent topics in Dhruv Batra's work include Multimodal Machine Learning Applications (50 papers), Advanced Image and Video Retrieval Techniques (35 papers) and Domain Adaptation and Few-Shot Learning (31 papers). Dhruv Batra is often cited by papers focused on Multimodal Machine Learning Applications (50 papers), Advanced Image and Video Retrieval Techniques (35 papers) and Domain Adaptation and Few-Shot Learning (31 papers). Dhruv Batra collaborates with scholars based in United States, Israel and United Kingdom. Dhruv Batra's co-authors include Devi Parikh, Abhishek Das, Ramprasaath R. Selvaraju, Michael Cogswell, Ramakrishna Vedantam, Jiasen Lu, Aishwarya Agrawal, C. Lawrence Zitnick, Margaret Mitchell and Stanislaw Antol and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and ACM Transactions on Graphics.

In The Last Decade

Dhruv Batra

107 papers receiving 19.8k citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

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.

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

2017 12.1k citations Ramprasaath R. Selvaraju, Michael Cogswell et al. profile →
VQA: Visual Question Answering

2015 2.3k citations Stanislaw Antol, Aishwarya Agrawal et al. profile →
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering

2017 1.1k citations Yash Goyal, Tejas Khot et al. profile →
Joint Unsupervised Learning of Deep Representations and Image Clusters

2016 440 citations Jianwei Yang, Devi Parikh et al. profile →
ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

2019 356 citations Jiasen Lu, Dhruv Batra et al. Neural Information Processing Systems profile →
VQA: Visual Question Answering

2016 345 citations Aishwarya Agrawal, Jiasen Lu et al. International Journal of Computer Vision profile →
A Corpus and Cloze Evaluation for Deeper Understanding of Commonsense Stories

2016 336 citations Nasrin Mostafazadeh, Nathanael Chambers et al. profile →
iCoseg: Interactive co-segmentation with intelligent scribble guidance

2010 329 citations Dhruv Batra, Adarsh Kowdle et al. National University of Singapore profile →

Author Peers

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

Author						Papers	Cites
Dhruv Batra	11.4k	10.5k	2.5k	1.0k	809	109	20.4k
Devi Parikh	15.9k 1.4×	13.0k 1.2×	2.7k 1.1×	1.1k 1.0×	965 1.2×	110	25.9k
Zhiheng Huang	15.1k 1.3×	10.0k 0.9×	2.6k 1.0×	1.4k 1.3×	1.8k 2.3×	90	26.9k
Bolei Zhou	12.3k 1.1×	7.1k 0.7×	1.5k 0.6×	708 0.7×	1.1k 1.4×	85	19.1k
Sinno Jialin Pan	5.8k 0.5×	11.8k 1.1×	1.5k 0.6×	1.1k 1.0×	918 1.1×	120	22.3k
Hao Su	17.1k 1.5×	9.2k 0.9×	2.6k 1.0×	1.3k 1.3×	2.0k 2.5×	69	27.2k
Saining Xie	12.6k 1.1×	9.1k 0.9×	2.3k 0.9×	1.3k 1.2×	2.1k 2.6×	33	21.7k
Jonathan Krause	17.1k 1.5×	10.9k 1.0×	3.4k 1.4×	1.4k 1.4×	2.1k 2.6×	46	28.2k
Kevin Murphy	15.0k 1.3×	8.2k 0.8×	2.1k 0.8×	1.4k 1.4×	2.7k 3.4×	77	24.5k
Olga Russakovsky	15.1k 1.3×	9.6k 0.9×	2.6k 1.0×	1.3k 1.2×	1.9k 2.3×	32	24.9k
Zhuowen Tu	14.0k 1.2×	5.2k 0.5×	2.0k 0.8×	980 1.0×	2.2k 2.7×	167	20.9k

Countries citing papers authored by Dhruv Batra

Since Specialization

Citations

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

Fields of papers citing papers by Dhruv Batra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dhruv Batra

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