Ramakrishna Vedantam

27.7k total citations · 2 hit papers
10 papers, 15.2k citations indexed

About

Ramakrishna Vedantam is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Infectious Diseases. According to data from OpenAlex, Ramakrishna Vedantam has authored 10 papers receiving a total of 15.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 0 papers in Infectious Diseases. Recurrent topics in Ramakrishna Vedantam's work include Multimodal Machine Learning Applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Ramakrishna Vedantam is often cited by papers focused on Multimodal Machine Learning Applications (8 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Advanced Image and Video Retrieval Techniques (2 papers). Ramakrishna Vedantam collaborates with scholars based in United States, Israel and Canada. Ramakrishna Vedantam's co-authors include Devi Parikh, Michael Cogswell, Dhruv Batra, Ramprasaath R. Selvaraju, Abhishek Das, C. Lawrence Zitnick, Samy Bengio, Kevin Murphy, Gal Chechik and Xiao Lin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, arXiv (Cornell University) and PubMed.

In The Last Decade

Ramakrishna Vedantam

8 papers receiving 14.9k citations

Hit Papers

align trajectories

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 threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), 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 12.3k citations Ramprasaath R. Selvaraju, Michael Cogswell et al. profile →
CIDEr: Consensus-based image description evaluation

2015 2.7k citations Ramakrishna Vedantam, C. Lawrence Zitnick et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ramakrishna Vedantam United States	7	7.3k	6.8k	2.5k	920	683	10	15.2k
Abhishek Das United States	19	5.7k 0.8×	6.1k 0.9×	2.5k 1.0×	952 1.0×	664 1.0×	29	14.3k
Michael Cogswell United States	6	4.9k 0.7×	5.4k 0.8×	2.5k 1.0×	908 1.0×	660 1.0×	11	12.6k
Ramprasaath R. Selvaraju United States	5	4.9k 0.7×	5.4k 0.8×	2.5k 1.0×	909 1.0×	661 1.0×	8	12.5k
Dhruv Batra United States	34	11.5k 1.6×	10.6k 1.6×	2.6k 1.0×	1.0k 1.1×	824 1.2×	110	20.7k
Shuihua Wang‎ China	71	5.2k 0.7×	6.0k 0.9×	3.4k 1.3×	1.9k 2.0×	901 1.3×	356	16.5k
Tanzila Saba Saudi Arabia	67	6.1k 0.8×	5.3k 0.8×	2.6k 1.0×	1.0k 1.1×	1.1k 1.7×	417	14.4k
Zbigniew Wojna United States	4	10.0k 1.4×	6.9k 1.0×	3.1k 1.2×	1.4k 1.5×	1.5k 2.2×	5	19.8k
Devi Parikh United States	38	16.1k 2.2×	13.1k 1.9×	2.7k 1.1×	1.1k 1.2×	980 1.4×	110	26.3k
Bolei Zhou Hong Kong	41	12.4k 1.7×	7.1k 1.1×	1.5k 0.6×	724 0.8×	1.2k 1.7×	85	19.4k
Jonathan Long United States	6	9.9k 1.4×	4.1k 0.6×	2.1k 0.8×	1.2k 1.3×	2.0k 2.9×	8	16.3k

Countries citing papers authored by Ramakrishna Vedantam

Since Specialization

Citations

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

Fields of papers citing papers by Ramakrishna Vedantam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ramakrishna Vedantam

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Wang, Kai, et al.. (2025). Emphasizing Discriminative Features for Dataset Distillation in Complex Scenarios. 30451–30461.

2.

Dancette, Corentin, Spencer Whitehead, Ramakrishna Vedantam, et al.. (2023). Improving Selective Visual Question Answering by Learning from Your Peers. 24049–24059. 6 indexed citations

3.

Vedantam, Ramakrishna, David López-Paz, & David J. Schwab. (2021). An Empirical Investigation of Domain Generalization with Empirical Risk Minimizers.. PubMed. 34. 28131–28143. 6 indexed citations

4.

Kiela, Douwe, et al.. (2020). Learning Optimal Representations with the Decodable Information Bottleneck. arXiv (Cornell University). 33. 18674–18690.

5.

Selvaraju, Ramprasaath R., Michael Cogswell, Abhishek Das, et al.. (2017). Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization. 618–626. 12321 indexed citations breakdown →

6.

Vedantam, Ramakrishna, Samy Bengio, Kevin Murphy, Devi Parikh, & Gal Chechik. (2017). Context-Aware Captions from Context-Agnostic Supervision. 1070–1079. 69 indexed citations

7.

Selvaraju, Ramprasaath R., Abhishek Das, Ramakrishna Vedantam, et al.. (2016). Grad-CAM: Why did you say that? Visual Explanations from Deep Networks via Gradient-based Localization. arXiv (Cornell University). 1. 44 indexed citations

8.

Vedantam, Ramakrishna, et al.. (2015). Learning Common Sense through Visual Abstraction. 2542–2550. 35 indexed citations

9.

Vedantam, Ramakrishna, C. Lawrence Zitnick, & Devi Parikh. (2015). CIDEr: Consensus-based image description evaluation. 4566–4575. 2713 indexed citations breakdown →

10.

Zitnick, C. Lawrence, Ramakrishna Vedantam, & Devi Parikh. (2014). Adopting Abstract Images for Semantic Scene Understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence. 38(4). 627–638. 36 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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