Pradyumna Narayana

1.3k total citations
18 papers, 257 citations indexed

About

Pradyumna Narayana is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Pradyumna Narayana has authored 18 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 8 papers in Artificial Intelligence and 8 papers in Human-Computer Interaction. Recurrent topics in Pradyumna Narayana's work include Hand Gesture Recognition Systems (8 papers), Human Pose and Action Recognition (7 papers) and Multimodal Machine Learning Applications (6 papers). Pradyumna Narayana is often cited by papers focused on Hand Gesture Recognition Systems (8 papers), Human Pose and Action Recognition (7 papers) and Multimodal Machine Learning Applications (6 papers). Pradyumna Narayana collaborates with scholars based in United States, Australia and Russia. Pradyumna Narayana's co-authors include Bruce A. Draper, J. Ross Beveridge, Sugato Basu, William Yang Wang, Wanrong Zhu, Jaime Ruiz, Qi Wu, Ross Beveridge, Miguel P. Eckstein and Xin Wang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Pradyumna Narayana

18 papers receiving 247 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradyumna Narayana United States 9 165 136 84 60 27 18 257
Gibran Benítez-García Japan 9 184 1.1× 100 0.7× 30 0.4× 40 0.7× 19 0.7× 33 259
Sotiris Manitsaris France 10 117 0.7× 67 0.5× 49 0.6× 26 0.4× 19 0.7× 29 282
Nam Le Switzerland 4 237 1.4× 182 1.3× 91 1.1× 110 1.8× 42 1.6× 6 360
Farhad Dadgostar New Zealand 9 160 1.0× 95 0.7× 83 1.0× 14 0.2× 55 2.0× 25 307
Lionel Pigou Belgium 3 256 1.6× 226 1.7× 73 0.9× 133 2.2× 67 2.5× 3 379
Hyun Seung Yang South Korea 7 190 1.2× 186 1.4× 21 0.3× 53 0.9× 29 1.1× 20 287
Ibrahim Adeyanju Nigeria 8 59 0.4× 97 0.7× 59 0.7× 48 0.8× 61 2.3× 39 254
Okan Köpüklü Germany 6 194 1.2× 183 1.3× 68 0.8× 88 1.5× 47 1.7× 13 326
Debajit Sarma India 7 144 0.9× 217 1.6× 25 0.3× 94 1.6× 33 1.2× 15 284
Daniel Carton Germany 7 140 0.8× 115 0.8× 31 0.4× 28 0.5× 13 0.5× 13 266

Countries citing papers authored by Pradyumna Narayana

Since Specialization
Citations

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

Fields of papers citing papers by Pradyumna Narayana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradyumna Narayana

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

All Works

18 of 18 papers shown
1.
Jia, Zhiwei, Pradyumna Narayana, Arjun Akula, et al.. (2023). KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models. 772–785. 1 indexed citations
2.
Akula, Arjun, Pradyumna Narayana, Soravit Changpinyo, et al.. (2023). MetaCLUE: Towards Comprehensive Visual Metaphors Research. 23201–23211. 16 indexed citations
3.
Zhu, Wanrong, Yuankai Qi, Pradyumna Narayana, et al.. (2022). Diagnosing Vision-and-Language Navigation: What Really Matters. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5981–5993. 27 indexed citations
4.
He, Xuehai, Weixi Feng, Tsu-Jui Fu, et al.. (2022). CPL: Counterfactual Prompt Learning for Vision and Language Models. 3407–3418. 7 indexed citations
5.
Zhu, Wanrong, Xin Wang, Tsu-Jui Fu, et al.. (2021). Multimodal Text Style Transfer for Outdoor Vision-and-Language Navigation. 1207–1221. 20 indexed citations
7.
Krishnaswamy, Nikhil, Pradyumna Narayana, Jaime Ruiz, et al.. (2020). Diana's World: A Situated Multimodal Interactive Agent. Proceedings of the AAAI Conference on Artificial Intelligence. 34(9). 13618–13619. 1 indexed citations
8.
Narayana, Pradyumna, J. Ross Beveridge, & Bruce A. Draper. (2019). Continuous Gesture Recognition through Selective Temporal Fusion. 1–8. 8 indexed citations
9.
Narayana, Pradyumna, et al.. (2019). Product Phrase Extraction from e-Commerce Pages. 393–397. 2 indexed citations
10.
Narayana, Pradyumna, J. Ross Beveridge, & Bruce A. Draper. (2019). Analyzing Multi-Channel Networks for Gesture Recognition. 9. 1–8. 3 indexed citations
11.
Narayana, Pradyumna, et al.. (2018). Motion Segmentation via Generalized Curvatures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 41(12). 2919–2932. 11 indexed citations
12.
Narayana, Pradyumna, J. Ross Beveridge, & Bruce A. Draper. (2018). Gesture Recognition: Focus on the Hands. 5235–5244. 102 indexed citations
13.
Narayana, Pradyumna, et al.. (2018). Improving gesture recognition through spatial focus of attention. Digital Collections of Colorado (Colorado State University). 2 indexed citations
14.
Narayana, Pradyumna, et al.. (2018). EASEL. 595–599. 6 indexed citations
15.
Krishnaswamy, Nikhil, Pradyumna Narayana, J. Ross Beveridge, et al.. (2017). Communicating and Acting: Understanding Gesture in Simulation Semantics. 10 indexed citations
16.
Narayana, Pradyumna, et al.. (2017). Exploring the Use of Gesture in Collaborative Tasks. 2990–2997. 14 indexed citations
17.
Narayana, Pradyumna, et al.. (2017). EGGNOG: A Continuous, Multi-modal Data Set of Naturally Occurring Gestures with Ground Truth Labels. 414–421. 19 indexed citations
18.
Pustejovsky, James, et al.. (2017). Creating Common Ground through Multimodal Simulations. 3 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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