Pradeep Natarajan

914 total citations
38 papers, 656 citations indexed

About

Pradeep Natarajan is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Pradeep Natarajan has authored 38 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 10 papers in Signal Processing. Recurrent topics in Pradeep Natarajan's work include Video Analysis and Summarization (11 papers), Music and Audio Processing (10 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Pradeep Natarajan is often cited by papers focused on Video Analysis and Summarization (11 papers), Music and Audio Processing (10 papers) and Advanced Image and Video Retrieval Techniques (10 papers). Pradeep Natarajan collaborates with scholars based in United States and Germany. Pradeep Natarajan's co-authors include Ramakant Nevatia, Xiaodan Zhuang, Shuang Wu, Prem Natarajan, Yue Wu, Florian Luisier, Ayush Jaiswal, Rohit Prasad, Varsha Hedau and Vivek Kumar Singh and has published in prestigious journals such as Computer Vision and Image Understanding, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Journal of International Crisis and Risk Communication Research.

In The Last Decade

Pradeep Natarajan

36 papers receiving 615 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pradeep Natarajan United States 14 505 238 85 65 58 38 656
Markus Koskela Finland 14 591 1.2× 173 0.7× 75 0.9× 73 1.1× 38 0.7× 47 716
Mohammad‐Shahram Moin Iran 14 417 0.8× 111 0.5× 184 2.2× 30 0.5× 23 0.4× 72 657
Nguyen Anh Tu South Korea 10 297 0.6× 131 0.6× 23 0.3× 40 0.6× 92 1.6× 39 405
Denis Yarats Israel 8 353 0.7× 622 2.6× 71 0.8× 14 0.2× 19 0.3× 9 778
Shang‐Hung Lin United States 7 442 0.9× 133 0.6× 191 2.2× 16 0.2× 19 0.3× 10 644
R. V. Dharaskar India 11 156 0.3× 100 0.4× 44 0.5× 35 0.5× 21 0.4× 45 349
Xinxiao Wu China 18 966 1.9× 560 2.4× 36 0.4× 112 1.7× 195 3.4× 71 1.1k
Mohamed R. Amer United States 13 265 0.5× 233 1.0× 61 0.7× 8 0.1× 37 0.6× 24 432
Xiangpeng Li China 10 737 1.5× 400 1.7× 43 0.5× 12 0.2× 21 0.4× 28 888
Guang Dai China 12 315 0.6× 176 0.7× 60 0.7× 7 0.1× 31 0.5× 57 507

Countries citing papers authored by Pradeep Natarajan

Since Specialization
Citations

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

Fields of papers citing papers by Pradeep Natarajan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pradeep Natarajan

This figure shows the co-authorship network connecting the top 25 collaborators of Pradeep Natarajan. A scholar is included among the top collaborators of Pradeep Natarajan 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 Pradeep Natarajan. Pradeep Natarajan 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.
Cheng, Jiaxin, Yue Wu, Ayush Jaiswal, et al.. (2023). User-Controllable Arbitrary Style Transfer via Entropy Regularization. Proceedings of the AAAI Conference on Artificial Intelligence. 37(1). 433–441. 7 indexed citations
2.
Jaiswal, Ayush, et al.. (2023). FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory. 11289–11300. 2 indexed citations
3.
Jaiswal, Ayush, et al.. (2022). FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 14085–14095. 61 indexed citations
4.
Natarajan, Pradeep, et al.. (2021). FewshotQA: A simple framework for few-shot learning of question answering tasks using pre-trained text-to-text models. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 22 indexed citations
5.
Natarajan, Pradeep, et al.. (2021). Error Detection in Large-Scale Natural Language Understanding Systems Using Transformer Models. 498–503. 4 indexed citations
6.
Zha, Shengxin, et al.. (2014). Text Classification via iVector Based Feature Representation. 151–155. 1 indexed citations
7.
Natarajan, Pradeep, Shuang Wu, Florian Luisier, et al.. (2013). BBN VISER TRECVID 2013 Multimedia Event Detection and Multimedia Event Recounting Systems. Journal of International Crisis and Risk Communication Research. 14 indexed citations
8.
Arpit, Devansh, Shuang Wu, Pradeep Natarajan, Rohit Prasad, & Prem Natarajan. (2013). Ridge Regression based classifiers for large scale class imbalanced datasets. 267–274. 7 indexed citations
9.
Natarajan, Pradeep, Prem Natarajan, Shuang Wu, et al.. (2012). BBNVISER : BBN VISER TRECVID 2012 Multimedia Event Detection and Multimedia Event Recounting Systems.. TRECVID. 13 indexed citations
10.
Zhuang, Xiaodan, Stavros Tsakalidis, Shuang Wu, et al.. (2012). Compact audio representation for event detection in consumer media. 2089–2092. 13 indexed citations
11.
Natarajan, Pradeep & Ramakant Nevatia. (2012). Hierarchical multi-channel hidden semi Markov graphical models for activity recognition. Computer Vision and Image Understanding. 117(10). 1329–1344. 13 indexed citations
12.
Natarajan, Pradeep, Prem Natarajan, Shuang Wu, et al.. (2011). BBN VISER TRECVID 2011 Multimedia Event Detection System. Journal of International Crisis and Risk Communication Research. 25 indexed citations
13.
Natarajan, Pradeep, et al.. (2011). Baseline Dependent Percentile Features for Offline Arabic Handwriting Recognition. 1. 329–333. 2 indexed citations
14.
Natarajan, Pradeep, et al.. (2011). Unsupervised audio analysis for categorizing heterogeneous consumer domain videos. 313–316. 4 indexed citations
15.
16.
Vitaladevuni, Shiv, Pradeep Natarajan, Rohit Prasad, & Prem Natarajan. (2011). Efficient Orthogonal Matching Pursuit using sparse random projections for scene and video classification. 2011. 2312–2319. 16 indexed citations
17.
Natarajan, Pradeep & Ramakant Nevatia. (2007). Hierarchical multi-channel hidden semi Markov models. International Joint Conference on Artificial Intelligence. 2562–2567. 19 indexed citations
18.
Natarajan, Pradeep & Ramakant Nevatia. (2007). Coupled Hidden Semi Markov Models for Activity Recognition. 10–10. 104 indexed citations
19.
Natarajan, Pradeep, T. Nathan Mundhenk, Kirstie L. Bellman, Laurent Itti, & Michael A. Arbib. (2004). <title>Camera localization methods for intelligent room systems using RF techniques</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5608. 177–187. 1 indexed citations
20.
Natarajan, Pradeep, et al.. (1980). Hepatotoxicity of dimethylformamide and dimethylsulfoxide at and above the levels used in some aflatoxin studies.. PubMed. 42(2). 257–62. 31 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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