Niket Tandon

2.9k total citations · 2 hit papers
51 papers, 1.2k citations indexed

About

Niket Tandon is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Niket Tandon has authored 51 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 8 papers in Information Systems. Recurrent topics in Niket Tandon's work include Topic Modeling (33 papers), Natural Language Processing Techniques (28 papers) and Multimodal Machine Learning Applications (8 papers). Niket Tandon is often cited by papers focused on Topic Modeling (33 papers), Natural Language Processing Techniques (28 papers) and Multimodal Machine Learning Applications (8 papers). Niket Tandon collaborates with scholars based in United States, Germany and India. Niket Tandon's co-authors include Marcus Rohrbach, Anna Rohrbach, Bernt Schiele, Gerard de Melo, Gerhard Weikum, Kurt Gray, Yuling Gu, Peter E. Clark, Aparna S. Varde and Bhavana Dalvi and has published in prestigious journals such as Trends in Cognitive Sciences, Scientific Reports and International Journal of Computer Vision.

In The Last Decade

Niket Tandon

47 papers receiving 1.2k citations

Hit Papers

A dataset for Movie Description 2015 2026 2018 2022 2015 2023 50 100 150 200
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.

  1. A dataset for Movie Description
    2015 245 citations Niket Tandon et al. profile →
  2. Can AI language models replace human participants?
    2023 177 citations Niket Tandon, Yuling Gu et al. Trends in Cognitive Sciences profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niket Tandon United States 17 721 546 103 53 46 51 1.2k
Mark Yatskar United States 12 1.3k 1.8× 663 1.2× 93 0.9× 67 1.3× 30 0.7× 23 1.6k
Rami Al‐Rfou United States 10 1.3k 1.9× 349 0.6× 114 1.1× 45 0.8× 58 1.3× 18 1.6k
Loïc Barrault France 11 1.4k 2.0× 405 0.7× 158 1.5× 46 0.9× 52 1.1× 36 1.6k
Carina Silberer Germany 11 1.1k 1.5× 243 0.4× 180 1.7× 65 1.2× 49 1.1× 19 1.4k
Mennatallah El‐Assady Germany 17 561 0.8× 582 1.1× 77 0.7× 79 1.5× 69 1.5× 92 1.1k
Sebastian Ruder United States 17 1.3k 1.8× 292 0.5× 142 1.4× 36 0.7× 46 1.0× 46 1.5k
Dani Yogatama United States 17 1.5k 2.1× 205 0.4× 211 2.0× 93 1.8× 56 1.2× 30 1.8k
Mitesh M. Khapra India 19 1.2k 1.7× 442 0.8× 141 1.4× 43 0.8× 61 1.3× 86 1.5k
Ian Tenney United States 11 791 1.1× 186 0.3× 102 1.0× 29 0.5× 32 0.7× 13 951
Tongshuang Wu United States 17 608 0.8× 208 0.4× 133 1.3× 55 1.0× 24 0.5× 48 971

Countries citing papers authored by Niket Tandon

Since Specialization
Citations

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

Fields of papers citing papers by Niket Tandon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niket Tandon

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

All Works

20 of 20 papers shown
1.
2.
Tandon, Niket, et al.. (2025). AI language model rivals expert ethicist in perceived moral expertise. Scientific Reports. 15(1). 4084–4084. 8 indexed citations
3.
Zhao, Wenlong, et al.. (2023). Editing Common Sense in Transformers. 8214–8232. 3 indexed citations
4.
Majumder, Bodhisattwa Prasad, et al.. (2023). Aligning Language Models to User Opinions. 11 indexed citations
5.
Tandon, Niket, et al.. (2023). Can AI language models replace human participants?. Trends in Cognitive Sciences. 27(7). 597–600. 177 indexed citations breakdown →
6.
Akyürek, Ekin, et al.. (2023). RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs. Monash University Research Portal (Monash University). 7716–7733. 11 indexed citations
7.
Tandon, Niket, et al.. (2022). Using Commonsense Knowledge to Answer Why-Questions. 1204–1219. 6 indexed citations
8.
Madaan, Aman, Dheeraj Rajagopal, Niket Tandon, Yiming Yang, & Antoine Bosselut. (2022). Conditional set generation using Seq2seq models. 4874–4896. 3 indexed citations
9.
Razniewski, Simon, Niket Tandon, & Aparna S. Varde. (2021). Information to Wisdom: Commonsense Knowledge Extraction and Compilation. 1143–1146. 15 indexed citations
10.
Sakaguchi, Keisuke, Chandra Bhagavatula, Ronan Le Bras, et al.. (2021). proScript: Partially Ordered Scripts Generation. Empirical Methods in Natural Language Processing. 2138–2149. 10 indexed citations
11.
Tandon, Niket, Keisuke Sakaguchi, Bhavana Dalvi, et al.. (2020). A Dataset for Tracking Entities in Open Domain Procedural Text. 6408–6417. 22 indexed citations
12.
Tandon, Niket, et al.. (2020). I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense. National Conference on Artificial Intelligence. 13789–13790. 2 indexed citations
13.
Tandon, Niket, et al.. (2020). I Am Guessing You Can't Recognize This: Generating Adversarial Images for Object Detection Using Spatial Commonsense (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence. 34(10). 13789–13790. 10 indexed citations
14.
Tandon, Niket, Bhavana Dalvi, Keisuke Sakaguchi, Peter E. Clark, & Antoine Bosselut. (2019). WIQA: A dataset for “What if...” reasoning over procedural text. 6075–6084. 18 indexed citations
15.
Dalvi, Bhavana, Niket Tandon, Antoine Bosselut, Wen-tau Yih, & Peter E. Clark. (2019). Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text. 4495–4504. 18 indexed citations
16.
Tandon, Niket, Bhavana Dalvi, Joël Grus, et al.. (2018). Reasoning about Actions and State Changes by Injecting Commonsense Knowledge. 57–66. 38 indexed citations
17.
Chen, Jiaqiang, Niket Tandon, & Gerard de Melo. (2015). Neural Word Representations from Large-Scale Commonsense Knowledge. 225–228. 8 indexed citations
18.
Tandon, Niket, Dheeraj Rajagopal, & Gerard de Melo. (2012). Markov Chains for Robust Graph-Based Commonsense Information Extraction. MPG.PuRe (Max Planck Society). 439–446. 1 indexed citations
19.
Tandon, Niket & Ashish Jain. (2012). Citation Context Sentiment Analysis for Structured Summarization of Research Papers. MPG.PuRe (Max Planck Society). 98–102. 18 indexed citations
20.
Tandon, Niket, et al.. (1989). OBSERVATIONS ON SOME LIMNOLOGICAL ASPECTS OF FOUR IMPORTANT LAKES OF KUMAON HILLS OF U.P. AND SUGGESTIONS FOR THEIR PROPER EXPLOITATION. Indian Journal of Fisheries. 36(1). 19–27. 1 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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