Rahul Gupta

3.3k total citations · 1 hit paper
94 papers, 1.9k citations indexed

About

Rahul Gupta is a scholar working on Artificial Intelligence, Signal Processing and Information Systems. According to data from OpenAlex, Rahul Gupta has authored 94 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 18 papers in Signal Processing and 17 papers in Information Systems. Recurrent topics in Rahul Gupta's work include Topic Modeling (21 papers), Natural Language Processing Techniques (15 papers) and Emotion and Mood Recognition (11 papers). Rahul Gupta is often cited by papers focused on Topic Modeling (21 papers), Natural Language Processing Techniques (15 papers) and Emotion and Mood Recognition (11 papers). Rahul Gupta collaborates with scholars based in United States, India and United Kingdom. Rahul Gupta's co-authors include Sunita Sarawagi, Shirish Shevade, Shrikanth Narayanan, Aditya Kanade, James Allan, Kevin Murphy, Shaohua Sun, Dekang Lin, Evgeniy Gabrilovich and Robert West and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Image Processing and Molecular Psychiatry.

In The Last Decade

Rahul Gupta

91 papers receiving 1.8k 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.

DeepFix: Fixing Common C Language Errors by Deep Learning

2017 233 citations Rahul Gupta, Shirish Shevade et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rahul Gupta United States	21	1.1k	507	316	316	207	94	1.9k
Gabriel Murray Canada	19	1.3k 1.2×	512 1.0×	348 1.1×	141 0.4×	101 0.5×	72	2.0k
Paolo Avesani Italy	23	1.1k 1.0×	1.3k 2.7×	260 0.8×	109 0.3×	129 0.6×	89	2.7k
Zhengbao Jiang United States	11	1.8k 1.6×	485 1.0×	508 1.6×	107 0.3×	82 0.4×	16	2.6k
Renato De Mori Canada	24	2.4k 2.2×	471 0.9×	301 1.0×	1000 3.2×	135 0.7×	185	3.0k
Jinlan Fu China	15	2.1k 1.9×	439 0.9×	538 1.7×	91 0.3×	80 0.4×	28	2.9k
Weizhe Yuan United States	5	1.4k 1.3×	344 0.7×	411 1.3×	85 0.3×	81 0.4×	13	2.1k
Robert P. Goldman United States	23	1.3k 1.2×	219 0.4×	232 0.7×	179 0.6×	82 0.4×	112	1.9k
Aladdin Ayesh United Kingdom	16	544 0.5×	424 0.8×	210 0.7×	225 0.7×	50 0.2×	108	1.3k
Ted Pedersen United States	29	3.6k 3.2×	676 1.3×	317 1.0×	133 0.4×	29 0.1×	108	4.2k

Countries citing papers authored by Rahul Gupta

Since Specialization

Citations

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

Fields of papers citing papers by Rahul Gupta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Gupta

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

All Works

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20 of 20 papers shown

1.

Joyce, Mary Kate P., Fenna M. Krienen, Jude F. Mitchell, et al.. (2025). Higher dopamine D1 receptor expression in prefrontal parvalbumin neurons underlies higher distractibility in marmosets versus macaques. Communications Biology. 8(1). 974–974. 2 indexed citations

2.

Gupta, Rahul, et al.. (2025). Short- and long-term modulation of rat prefrontal cortical activity following single doses of psilocybin. Molecular Psychiatry. 30(12). 5889–5900.

3.

Mehrabi, Ninareh, Palash Goyal, Shalini Ghosh, et al.. (2024). FLIRT: Feedback Loop In-context Red Teaming. 703–718. 4 indexed citations

4.

Goyal, Palash, et al.. (2023). Faithful Model Evaluation for Model-Based Metrics. 7484–7489. 1 indexed citations

5.

Zemel, Richard S., et al.. (2023). Privacy in the Time of Language Models. 1291–1292. 22 indexed citations

6.

Khan, Haidar, et al.. (2023). Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning. 1512–1521. 7 indexed citations

7.

Gupta, Rahul, et al.. (2023). INVITE: a Testbed of Automatically Generated Invalid Questions to Evaluate Large Language Models for Hallucinations. 5422–5429. 1 indexed citations

8.

Sun, Jiao, Yufei Tian, Wangchunshu Zhou, et al.. (2023). Evaluating Large Language Models on Controlled Generation Tasks. 3155–3168. 4 indexed citations

9.

Feng, Tiantian, et al.. (2023). FedMultimodal: A Benchmark for Multimodal Federated Learning. 4035–4045. 37 indexed citations

10.

Lin, Bill, Chaoyang He, H. Wang, et al.. (2022). FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks. 157–175. 62 indexed citations

11.

Gupta, Rahul, Aditya Kanade, & Shirish Shevade. (2019). Neural Attribution for Semantic Bug-Localization in Student Programs. ePrints@IISc (Indian Institute of Science). 32. 11861–11871. 13 indexed citations

12.

Gupta, Rahul, et al.. (2018). Prefronto-cortical dopamine D1 receptor sensitivity can critically influence working memory maintenance during delayed response tasks. PLoS ONE. 13(5). e0198136–e0198136. 8 indexed citations

13.

Gupta, Rahul, et al.. (2017). SCL-UMD at the Medico Task-MediaEval 2017: Transfer Learning based Classification of Medical Images.. MediaEval. 22 indexed citations

14.

Gupta, Rahul, et al.. (2016). Laughter Valence Prediction in Motivational Interviewing Based on Lexical and Acoustic Cues. 505–509. 3 indexed citations

15.

Gupta, Rahul & Shrikanth Narayanan. (2015). Predicting Affect in Music Using Regression Methods on Low Level Features. MediaEval. 1 indexed citations

16.

Kumar, Naveen, Rahul Gupta, Tanaya Guha, et al.. (2014). Affective Feature Design and Predicting Continuous Affective Dimensions from Music. MediaEval. 12 indexed citations

17.

Gupta, Rahul & Sunita Sarawagi. (2011). Joint training for open-domain extraction on the web: exploiting overlap when supervision is limited. arXiv (Cornell University). 217–226. 17 indexed citations

18.

Gupta, Rahul, et al.. (2010). Collective Inference for Extraction MRFs Coupled with Symmetric Clique Potentials. Journal of Machine Learning Research. 11(103). 3097–3135. 2 indexed citations

19.

Gupta, Rahul & Sunita Sarawagi. (2006). Creating probabilistic databases from information extraction models. Very Large Data Bases. 965–976. 83 indexed citations

20.

Allan, James, et al.. (2001). Topic Models for Summarizing Novelty. 7 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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