Niranjan Subrahmanya

829 total citations
22 papers, 551 citations indexed

About

Niranjan Subrahmanya is a scholar working on Artificial Intelligence, Control and Systems Engineering and Mechanical Engineering. According to data from OpenAlex, Niranjan Subrahmanya has authored 22 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 8 papers in Control and Systems Engineering and 7 papers in Mechanical Engineering. Recurrent topics in Niranjan Subrahmanya's work include Fault Detection and Control Systems (8 papers), Mineral Processing and Grinding (4 papers) and Reservoir Engineering and Simulation Methods (4 papers). Niranjan Subrahmanya is often cited by papers focused on Fault Detection and Control Systems (8 papers), Mineral Processing and Grinding (4 papers) and Reservoir Engineering and Simulation Methods (4 papers). Niranjan Subrahmanya collaborates with scholars based in United States, Germany and China. Niranjan Subrahmanya's co-authors include Yung C. Shin, Weichang Li, Yan Liu, Slobodan Vučetić, Mihajlo Grbovic, Peter H. Meckl, Pierre Baldi, Gregor Urban, Ignacio López Moreno and Prashant Sridhar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Automatica and IEEE Transactions on Industrial Informatics.

In The Last Decade

Niranjan Subrahmanya

21 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Niranjan Subrahmanya United States 13 283 135 119 107 79 22 551
Pitikhate Sooraksa Thailand 14 94 0.3× 129 1.0× 48 0.4× 80 0.7× 124 1.6× 84 500
George Irwin United Kingdom 12 222 0.8× 202 1.5× 37 0.3× 47 0.4× 65 0.8× 50 489
G.V. Puskorius United States 12 613 2.2× 425 3.1× 55 0.5× 138 1.3× 68 0.9× 34 940
Vojtěch Dvořák Czechia 5 406 1.4× 177 1.3× 41 0.3× 30 0.3× 72 0.9× 33 671
Michael S. Gashler United States 8 161 0.6× 72 0.5× 35 0.3× 29 0.3× 108 1.4× 16 392
Zeshan Aslam Khan Taiwan 17 295 1.0× 350 2.6× 35 0.3× 58 0.5× 76 1.0× 54 774
David Ricardo Cruz Mexico 12 140 0.5× 199 1.5× 51 0.4× 22 0.2× 66 0.8× 17 475
Caixia Yan China 11 241 0.9× 94 0.7× 29 0.2× 28 0.3× 325 4.1× 20 556
Yiming Zhou China 10 272 1.0× 59 0.4× 33 0.3× 28 0.3× 147 1.9× 41 529

Countries citing papers authored by Niranjan Subrahmanya

Since Specialization
Citations

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

Fields of papers citing papers by Niranjan Subrahmanya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niranjan Subrahmanya

This figure shows the co-authorship network connecting the top 25 collaborators of Niranjan Subrahmanya. A scholar is included among the top collaborators of Niranjan Subrahmanya 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 Niranjan Subrahmanya. Niranjan Subrahmanya 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.
Subrahmanya, Niranjan, et al.. (2020). Streaming Keyword Spotting on Mobile Devices. arXiv (Cornell University). 2277–2281. 73 indexed citations
2.
Huang, Yiteng, et al.. (2020). Small Footprint Multi-channel Keyword Spotting. 2 indexed citations
3.
Tewari, Ashutosh, S. de Waele, & Niranjan Subrahmanya. (2020). Enhanced production surveillance using probabilistic dynamic models. International Journal of Prognostics and Health Management. 9(1). 1 indexed citations
4.
Urban, Gregor, Niranjan Subrahmanya, & Pierre Baldi. (2018). Inner and Outer Recursive Neural Networks for Chemoinformatics Applications. Journal of Chemical Information and Modeling. 58(2). 207–211. 15 indexed citations
5.
Subrahmanya, Niranjan, S. de Waele, Wei Liu, et al.. (2016). Robust Derivative Estimation for Decline Analysis from Noisy Production Data. 1 indexed citations
6.
Janoos, Firdaus, et al.. (2014). Multi-scale Graphical Models for Spatio-Temporal Processes. Neural Information Processing Systems. 27. 316–324. 8 indexed citations
7.
Xu, Peng, et al.. (2014). Multi-agent Collaborative Decision Making for Upstream Asset Management. International Petroleum Technology Conference. 1 indexed citations
8.
Subrahmanya, Niranjan, et al.. (2014). Advanced Machine Learning Methods for Production Data Pattern Recognition. 12 indexed citations
9.
Grbovic, Mihajlo, et al.. (2013). Cold Start Approach for Data-Driven Fault Detection. IEEE Transactions on Industrial Informatics. 9(4). 2264–2273. 36 indexed citations
10.
Janoos, Firdaus, Weichang Li, Niranjan Subrahmanya, I Mórocz, & William M. Wells. (2012). Identification of Recurrent Patterns in the Activation of Brain Networks. Neural Information Processing Systems. 25. 674–682. 1 indexed citations
11.
Liu, Yan, et al.. (2012). Granger Causality for Time-Series Anomaly Detection. 1074–1079. 62 indexed citations
12.
Subrahmanya, Niranjan & Yung C. Shin. (2012). A variational Bayesian framework for group feature selection. International Journal of Machine Learning and Cybernetics. 4(6). 609–619. 17 indexed citations
13.
Li, Weichang, Niranjan Subrahmanya, & Xu Feng. (2012). Online subspace and sparse filtering for target tracking in reverberant environment. 329–332. 9 indexed citations
14.
Subrahmanya, Niranjan & Yung C. Shin. (2012). A data-based framework for fault detection and diagnostics of non-linear systems with partial state measurement. Engineering Applications of Artificial Intelligence. 26(1). 446–455. 23 indexed citations
15.
Entchev, Pavlin B., et al.. (2011). Autonomous Perforating System for Multizone Completions. SPE Annual Technical Conference and Exhibition.
16.
Subrahmanya, Niranjan & Yung C. Shin. (2009). Sparse Multiple Kernel Learning for Signal Processing Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence. 32(5). 788–798. 91 indexed citations
17.
Subrahmanya, Niranjan & Yung C. Shin. (2009). Adaptive divided difference filtering for simultaneous state and parameter estimation. Automatica. 45(7). 1686–1693. 50 indexed citations
18.
Subrahmanya, Niranjan, Yung C. Shin, & Peter H. Meckl. (2009). A Bayesian machine learning method for sensor selection and fusion with application to on-board fault diagnostics. Mechanical Systems and Signal Processing. 24(1). 182–192. 22 indexed citations
19.
Subrahmanya, Niranjan & Yung C. Shin. (2008). Automated Sensor Selection and Fusion for Monitoring and Diagnostics of Plunge Grinding. Journal of Manufacturing Science and Engineering. 130(3). 34 indexed citations
20.
Subrahmanya, Niranjan, et al.. (2007). Generalized practical models of cylindrical plunge grinding processes. International Journal of Machine Tools and Manufacture. 48(1). 61–72. 40 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Pitikhate Sooraksa Breakdown of academic impact, for papers by George Irwin Breakdown of academic impact, for papers by G.V. Puskorius Breakdown of academic impact, for papers by Vojtěch Dvořák Breakdown of academic impact, for papers by Michael S. Gashler Breakdown of academic impact, for papers by Zeshan Aslam Khan Breakdown of academic impact, for papers by David Ricardo Cruz Breakdown of academic impact, for papers by Caixia Yan Breakdown of academic impact, for papers by Yiming Zhou
Rankless by CCL
2026