Narayan Bhamidipati

1.4k total citations · 1 hit paper
20 papers, 616 citations indexed

About

Narayan Bhamidipati is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Narayan Bhamidipati has authored 20 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 9 papers in Information Systems and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Narayan Bhamidipati's work include Recommender Systems and Techniques (6 papers), Consumer Market Behavior and Pricing (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Narayan Bhamidipati is often cited by papers focused on Recommender Systems and Techniques (6 papers), Consumer Market Behavior and Pricing (5 papers) and Sentiment Analysis and Opinion Mining (3 papers). Narayan Bhamidipati collaborates with scholars based in United States, United Kingdom and India. Narayan Bhamidipati's co-authors include Mihajlo Grbovic, Nemanja Djuric, Vladan Radosavljević, Jing Zhou, Robin K. Morris, Fabrizio Silvestri, Shantanu Pal, Tarun N. Bhatia, Yichao Zhou and Sankar K. Pal and has published in prestigious journals such as IEEE Transactions on Knowledge and Data Engineering and IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics).

In The Last Decade

Narayan Bhamidipati

19 papers receiving 545 citations

Hit Papers

Hate Speech Detection with Comment Embeddings 2015 2026 2018 2022 2015 100 200 300 400
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. Hate Speech Detection with Comment Embeddings
    2015 408 citations Nemanja Djuric, Jing Zhou et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Narayan Bhamidipati United States 10 494 243 91 89 75 20 616
Viet-An Nguyen United States 11 591 1.2× 485 2.0× 45 0.5× 98 1.1× 117 1.6× 18 907
Dustin Hillard United States 16 670 1.4× 128 0.5× 27 0.3× 88 1.0× 21 0.3× 30 893
Dan Liebling United States 6 354 0.7× 349 1.4× 55 0.6× 42 0.5× 10 0.1× 9 683
Ilia Vovsha United States 4 810 1.6× 287 1.2× 55 0.6× 29 0.3× 29 0.4× 6 975
Armineh Nourbakhsh United States 12 323 0.7× 201 0.8× 72 0.8× 30 0.3× 17 0.2× 31 607
Mainack Mondal India 15 389 0.8× 211 0.9× 131 1.4× 54 0.6× 42 0.6× 43 644
Hassan Saif United Kingdom 10 667 1.4× 219 0.9× 69 0.8× 13 0.1× 26 0.3× 13 813
Udo Kruschwitz United Kingdom 16 722 1.5× 225 0.9× 39 0.4× 38 0.4× 25 0.3× 108 960
Salud María Jiménez-Zafra Spain 12 1.2k 2.4× 139 0.6× 39 0.4× 20 0.2× 80 1.1× 45 1.3k
Praveen Chandar United States 10 239 0.5× 257 1.1× 19 0.2× 43 0.5× 24 0.3× 33 435

Countries citing papers authored by Narayan Bhamidipati

Since Specialization
Citations

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

Fields of papers citing papers by Narayan Bhamidipati

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Narayan Bhamidipati

This figure shows the co-authorship network connecting the top 25 collaborators of Narayan Bhamidipati. A scholar is included among the top collaborators of Narayan Bhamidipati 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 Narayan Bhamidipati. Narayan Bhamidipati 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.
Bhamidipati, Narayan, et al.. (2021). Incrementality Testing in Programmatic Advertising: Enhanced Precision with Double-Blind Designs. 2818–2827. 3 indexed citations
2.
Bhamidipati, Narayan, et al.. (2021). Online Advertising Incrementality Testing And Experimentation. 4027–4028. 2 indexed citations
3.
4.
Pavlovski, Martin, et al.. (2020). Time-Aware User Embeddings as a Service. 3194–3202. 9 indexed citations
5.
Zhou, Yichao, et al.. (2019). Understanding Consumer Journey using Attention based Recurrent Neural Networks. 3102–3111. 28 indexed citations
6.
Pappu, Aasish, et al.. (2019). Inferring Advertiser Sentiment in Online Articles using Wikipedia Footnotes. 1224–1231. 7 indexed citations
7.
Bhamidipati, Narayan, et al.. (2017). A Large Scale Prediction Engine for App Install Clicks and Conversions. 167–175. 17 indexed citations
8.
Grbovic, Mihajlo, et al.. (2016). Leveraging Blogging Activity on Tumblr to Infer Demographics and Interests of Users for Advertising Purposes.. 2–11. 2 indexed citations
9.
Radosavljević, Vladan, Peiji Chen, Mihajlo Grbovic, et al.. (2016). Smartphone App Categorization for Interest Targeting in Advertising Marketplace. 93–94. 20 indexed citations
10.
Grbovic, Mihajlo, Nemanja Djuric, Vladan Radosavljević, Fabrizio Silvestri, & Narayan Bhamidipati. (2015). Context- and Content-aware Embeddings for Query Rewriting in Sponsored Search. 383–392. 51 indexed citations
11.
Djuric, Nemanja, Jing Zhou, Robin K. Morris, et al.. (2015). Hate Speech Detection with Comment Embeddings. 29–30. 408 indexed citations breakdown →
12.
Grbovic, Mihajlo, et al.. (2015). queryCategorizr. 199–202. 1 indexed citations
13.
Grbovic, Mihajlo, Nemanja Djuric, Vladan Radosavljević, & Narayan Bhamidipati. (2015). Search Retargeting using Directed Query Embeddings. 37–38. 9 indexed citations
14.
Djuric, Nemanja, Vladan Radosavljević, Mihajlo Grbovic, & Narayan Bhamidipati. (2014). Hidden Conditional Random Fields with Deep User Embeddings for Ad Targeting. 779–784. 9 indexed citations
15.
Djuric, Nemanja, Vladan Radosavljević, Mihajlo Grbovic, & Narayan Bhamidipati. (2014). Hidden Conditional Random Fields with Distributed User Embeddings for Ad Targeting. 3 indexed citations
16.
Radosavljević, Vladan, Mihajlo Grbovic, Nemanja Djuric, & Narayan Bhamidipati. (2014). Large-scale World Cup 2014 outcome prediction based on Tumblr posts. 9 indexed citations
17.
Grabchak, Michael, Narayan Bhamidipati, Rushi Bhatt, & Dinesh Garg. (2011). Adaptive policies for selecting groupon style chunked reward ads in a stochastic knapsack framework. 167–176. 6 indexed citations
18.
Bhamidipati, Narayan & Shantanu Pal. (2008). Comparing Scores Intended for Ranking. IEEE Transactions on Knowledge and Data Engineering. 21(1). 21–34. 15 indexed citations
19.
Bhamidipati, Narayan & Sankar K. Pal. (2007). Stemming via Distribution-Based Word Segregation for Classification and Retrieval. IEEE Transactions on Systems Man and Cybernetics Part B (Cybernetics). 37(2). 350–360. 11 indexed citations
20.
Bhamidipati, Narayan & Srikanta Pal. (2006). Comparing rank-inducing scoring systems. 14. 300–303. 6 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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