Mukund Narasimhan

439 total citations
14 papers, 272 citations indexed

About

Mukund Narasimhan is a scholar working on Artificial Intelligence, Signal Processing and Computational Theory and Mathematics. According to data from OpenAlex, Mukund Narasimhan has authored 14 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Signal Processing and 4 papers in Computational Theory and Mathematics. Recurrent topics in Mukund Narasimhan's work include Natural Language Processing Techniques (4 papers), Embedded Systems Design Techniques (3 papers) and Data Management and Algorithms (3 papers). Mukund Narasimhan is often cited by papers focused on Natural Language Processing Techniques (4 papers), Embedded Systems Design Techniques (3 papers) and Data Management and Algorithms (3 papers). Mukund Narasimhan collaborates with scholars based in United States, India and Singapore. Mukund Narasimhan's co-authors include Paul Viola, Jeff Bilmes, J. Ramanujam, Michael Shilman, Nebojša Jojić, John Platt, Yi Zhang, Jeffrey A. Bilmes, Sundararaman Rajagopalan and R. Sivaraman and has published in prestigious journals such as ACM Transactions on Design Automation of Electronic Systems, IET Image Processing and Civil War Book Review.

In The Last Decade

Mukund Narasimhan

14 papers receiving 256 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mukund Narasimhan United States 10 159 84 49 39 39 14 272
Deepak Ajwani Ireland 9 101 0.6× 54 0.6× 45 0.9× 47 1.2× 47 1.2× 31 244
Krzysztof Pietrzak Austria 8 299 1.9× 78 0.9× 72 1.5× 100 2.6× 34 0.9× 20 393
Can Lu Hong Kong 8 139 0.9× 156 1.9× 51 1.0× 41 1.1× 94 2.4× 13 282
Gregory V. Bard United States 5 142 0.9× 51 0.6× 49 1.0× 43 1.1× 34 0.9× 9 210
Olivier Markowitch Belgium 9 272 1.7× 89 1.1× 73 1.5× 24 0.6× 98 2.5× 28 330
Dafna Sheinwald Israel 9 201 1.3× 33 0.4× 99 2.0× 37 0.9× 47 1.2× 21 326
Ahmed Salem China 7 282 1.8× 48 0.6× 34 0.7× 18 0.5× 55 1.4× 17 334
Andres Nötzli United States 8 107 0.7× 66 0.8× 54 1.1× 37 0.9× 85 2.2× 11 255
Ching-pei Lee Taiwan 7 144 0.9× 72 0.9× 70 1.4× 26 0.7× 37 0.9× 13 266

Countries citing papers authored by Mukund Narasimhan

Since Specialization
Citations

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

Fields of papers citing papers by Mukund Narasimhan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mukund Narasimhan

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

All Works

14 of 14 papers shown
1.
Rajagopalan, Sundararaman, Mukund Narasimhan, R. Sivaraman, et al.. (2020). Chua's diode and strange attractor: a three‐layer hardware–software co‐design for medical image confidentiality. IET Image Processing. 14(7). 1354–1365. 40 indexed citations
2.
Zhang, Yi, et al.. (2008). Learning from multi-topic web documents for contextual advertisement. 1051–1059. 27 indexed citations
3.
Narasimhan, Mukund & Jeffrey A. Bilmes. (2007). Local search for balanced submodular clusterings. International Joint Conference on Artificial Intelligence. 981–986. 14 indexed citations
4.
Druck, Gregory, Mukund Narasimhan, & Paul Viola. (2007). Learning A* underestimates: Using inference to guide inference. International Conference on Artificial Intelligence and Statistics. 99–106. 2 indexed citations
5.
Subramanya, Amarnag, et al.. (2007). A Generative-Discriminative Framework using Ensemble Methods for Text-Dependent Speaker Verification. 142. IV–225. 9 indexed citations
6.
Narasimhan, Mukund, Paul Viola, & Michael Shilman. (2006). Online decoding of Markov models under latency constraints. 657–664. 18 indexed citations
7.
Viola, Paul & Mukund Narasimhan. (2005). Learning to extract information from semi-structured text using a discriminative context free grammar. 330–337. 49 indexed citations
8.
Liang, Percy, Mukund Narasimhan, Michael Shilman, & Paul Viola. (2005). Efficient geometric algorithms for parsing in two dimensions. 7. 1172–1177 Vol. 2. 11 indexed citations
9.
Narasimhan, Mukund, Nebojša Jojić, & Jeff Bilmes. (2005). Q-Clustering. 18. 979–986. 28 indexed citations
10.
Narasimhan, Mukund & Jeff Bilmes. (2004). PAC-learning bounded tree-width graphical models. Uncertainty in Artificial Intelligence. 410–417. 36 indexed citations
11.
Narasimhan, Mukund & Jeff Bilmes. (2004). Optimal sub-graphical models. Neural Information Processing Systems. 17. 961–968. 2 indexed citations
12.
Narasimhan, Mukund & J. Ramanujam. (2001). A fast approach to computing exact solutions to the resource-constrained scheduling problem. ACM Transactions on Design Automation of Electronic Systems. 6(4). 490–500. 28 indexed citations
13.
Narasimhan, Mukund & J. Ramanujam. (2000). On lower bounds for scheduling problems in high-level synthesis. 546–551. 5 indexed citations
14.
Narasimhan, Mukund & J. Ramanujam. (1998). Improving the computational performance of ILP-based problems. Civil War Book Review. 593–596. 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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