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.
Local Shannon entropy measure with statistical tests for image randomness
Countries citing papers authored by Prem Natarajan
Since
Specialization
Citations
This map shows the geographic impact of Prem 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 Prem Natarajan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Prem Natarajan more than expected).
This network shows the impact of papers produced by Prem 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 Prem Natarajan. The network helps show where Prem Natarajan may publish in the future.
Co-authorship network of co-authors of Prem Natarajan
This figure shows the co-authorship network connecting the top 25 collaborators of Prem Natarajan.
A scholar is included among the top collaborators of Prem 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 Prem Natarajan. Prem Natarajan is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Huang, Kuan-Hao, Elizabeth Boschee, S.L. Miller, et al.. (2021). Event Extraction as Natural Language Generation. arXiv (Cornell University).5 indexed citations
Natarajan, Prem, et al.. (2014). Price dynamism of pepper in spot and futures market. 2(12). 225–232.
12.
Ananthakrishnan, Sankaranarayanan, et al.. (2013). Incremental Topic-Based Translation Model Adaptation for Conversational Spoken Language Translation. Meeting of the Association for Computational Linguistics. 697–701.13 indexed citations
13.
Prasad, Rohit, Rohit Kumar, Sankaranarayanan Ananthakrishnan, et al.. (2012). Active error detection and resolution for speech-to-speech translation.. IWSLT. 150–157.9 indexed citations
14.
Chandrasekaran, R., R. Chandrasekaran, & Prem Natarajan. (2012). Text localization and extraction in images using mathematical morphology and SVM. IEEE-International Conference On Advances In Engineering, Science And Management. 55–60.2 indexed citations
15.
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
16.
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
17.
Ananthakrishnan, Sankaranarayanan, Rohit Prasad, & Prem Natarajan. (2011). On-line Language Model Biasing for Statistical Machine Translation. Meeting of the Association for Computational Linguistics. 445–449.4 indexed citations
18.
Ananthakrishnan, Sankaranarayanan, Rohit Prasad, David Stallard, & Prem Natarajan. (2010). A Semi-Supervised Batch-Mode Active Learning Strategy for Improved Statistical Machine Translation. 126–134.6 indexed citations
19.
Ananthakrishnan, Sankaranarayanan, Rohit Prasad, David Stallard, & Prem Natarajan. (2010). Discriminative Sample Selection for Statistical Machine Translation. Empirical Methods in Natural Language Processing. 626–635.10 indexed citations
20.
Prasad, Rohit, et al.. (2008). A Wearable Headset Speech-to-Speech Translation System. Meeting of the Association for Computational Linguistics. 10–12.1 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.