Vikram Krishnamurthy

9.4k total citations
401 papers, 6.3k citations indexed

About

Vikram Krishnamurthy is a scholar working on Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering. According to data from OpenAlex, Vikram Krishnamurthy has authored 401 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 156 papers in Artificial Intelligence, 150 papers in Computer Networks and Communications and 91 papers in Electrical and Electronic Engineering. Recurrent topics in Vikram Krishnamurthy's work include Target Tracking and Data Fusion in Sensor Networks (103 papers), Distributed Sensor Networks and Detection Algorithms (54 papers) and Fault Detection and Control Systems (47 papers). Vikram Krishnamurthy is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (103 papers), Distributed Sensor Networks and Detection Algorithms (54 papers) and Fault Detection and Control Systems (47 papers). Vikram Krishnamurthy collaborates with scholars based in Canada, Australia and United States. Vikram Krishnamurthy's co-authors include Leigh A. Johnston, J.B. Moore, A. Logothetis, D.V. Djonin, Omid Namvar Gharehshiran, V. Seshadri, Shin‐Ho Chung, George Yin, F. Richard Yu and William Hoiles and has published in prestigious journals such as The Journal of Chemical Physics, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Vikram Krishnamurthy

371 papers receiving 6.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vikram Krishnamurthy Canada 43 2.5k 2.2k 1.9k 1.2k 810 401 6.3k
John S. Baras United States 43 4.2k 1.7× 1.5k 0.7× 1.6k 0.8× 2.4k 2.0× 515 0.6× 643 8.2k
K.F. Man Hong Kong 35 862 0.3× 1.9k 0.9× 2.0k 1.0× 1.3k 1.1× 918 1.1× 187 6.5k
K.S. Tang Hong Kong 43 2.5k 1.0× 2.2k 1.0× 1.6k 0.8× 1.5k 1.2× 400 0.5× 230 8.7k
Angelia Nedić United States 38 7.1k 2.8× 2.9k 1.3× 1.9k 1.0× 1.1k 1.0× 420 0.5× 149 10.4k
Li Guo China 34 1.1k 0.4× 3.2k 1.5× 1.3k 0.7× 215 0.2× 746 0.9× 333 6.2k
Ananthram Swami United States 34 2.0k 0.8× 1.6k 0.7× 2.0k 1.1× 308 0.3× 813 1.0× 202 4.8k
Sean Meyn United States 45 2.0k 0.8× 2.2k 1.0× 2.7k 1.4× 2.0k 1.7× 138 0.2× 250 11.4k
Michael N. Vrahatis Greece 40 492 0.2× 4.0k 1.8× 953 0.5× 992 0.8× 352 0.4× 207 7.3k
Viktor K. Prasanna United States 49 5.8k 2.3× 3.2k 1.5× 2.7k 1.4× 618 0.5× 145 0.2× 706 10.9k
Yishay Mansour Israel 43 2.3k 0.9× 5.0k 2.3× 979 0.5× 637 0.5× 180 0.2× 232 9.0k

Countries citing papers authored by Vikram Krishnamurthy

Since Specialization
Citations

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

Fields of papers citing papers by Vikram Krishnamurthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikram Krishnamurthy

This figure shows the co-authorship network connecting the top 25 collaborators of Vikram Krishnamurthy. A scholar is included among the top collaborators of Vikram Krishnamurthy 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 Vikram Krishnamurthy. Vikram Krishnamurthy 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.
Krishnamurthy, Vikram, et al.. (2024). Lyapunov based stochastic stability of a quantum decision system for human–machine interaction. Automatica. 164. 111628–111628. 1 indexed citations
2.
Luo, Rui, et al.. (2024). Mutual Information Measure for Glass Ceiling Effect in Preferential Attachment Models. IEEE Transactions on Computational Social Systems. 11(6). 7778–7788.
3.
Krishnamurthy, Vikram, et al.. (2024). Fisher Information Approach for Masking the Sensing Plan: Applications in Multifunction Radars. IEEE Transactions on Aerospace and Electronic Systems. 61(1). 233–249.
4.
Krishnamurthy, Vikram, et al.. (2024). Masking the Sensing Plan for Multifunction Radar in an Adversarial Setting. 1–6. 1 indexed citations
5.
Naaman, Mor, et al.. (2024). Estimating Exposure to Information on Social Networks. 7(1-4). 1–24. 1 indexed citations
6.
Krishnamurthy, Vikram. (2023). Interval dominance based structural results for Markov decision process. Automatica. 153. 111024–111024. 3 indexed citations
7.
Luo, Rui, et al.. (2022). Controlling Segregation in Social Network Dynamics as an Edge Formation Game. IEEE Transactions on Network Science and Engineering. 9(4). 2317–2329. 3 indexed citations
8.
Luo, Rui, et al.. (2021). Echo Chambers and Segregation in Social Networks: Markov Bridge Models and Estimation. IEEE Transactions on Computational Social Systems. 9(3). 891–901. 7 indexed citations
9.
Alipourfard, Nazanin, et al.. (2021). Scale-free degree distributions, homophily and the glass ceiling effect in directed networks. Journal of Complex Networks. 10(2). 2 indexed citations
10.
Krishnamurthy, Vikram, et al.. (2019). Diffusion in Social Networks: Effects of Monophilic Contagion, Friendship Paradox, and Reactive Networks. IEEE Transactions on Network Science and Engineering. 7(3). 1121–1132. 8 indexed citations
11.
Hoiles, William, et al.. (2018). Risk-Averse Caching Policies for YouTube Content in Femtocell Networks using Density Forecasting. IEEE Transactions on Cloud Computing. 9(1). 331–346. 3 indexed citations
12.
Hoiles, William, et al.. (2017). Adaptive Scheme for Caching YouTube Content in a Cellular Network: Machine Learning Approach. IEEE Access. 5. 5870–5881. 85 indexed citations
13.
Rojas, Cristian R., et al.. (2017). Inverse Filtering for Hidden Markov Models. Neural Information Processing Systems. 30. 4204–4213. 14 indexed citations
14.
Gharehshiran, Omid Namvar, et al.. (2016). A Distributed Coalition Game Approach to Femto-Cloud Formation. IEEE Transactions on Cloud Computing. 7(1). 129–140. 18 indexed citations
15.
Krishnamurthy, Vikram. (2015). On the Continuous Endomorphisms in the Spaces of Certain Classes of Entire Functions. SHILAP Revista de lepidopterología.
16.
Krishnamurthy, Vikram, et al.. (2014). Spatio-temporal trajectory models for target tracking. International Conference on Information Fusion. 1–8.
17.
Wang, Alex, Vikram Krishnamurthy, & Bhashyam Balaji. (2009). Meta level tracking with multimode space-time adaptive processing of GMTI data. International Conference on Information Fusion. 2169–2176. 1 indexed citations
18.
Wang, Alex, Vikram Krishnamurthy, & José Araújo. (2009). Syntactic inference for highway traffic analysis. International Conference on Information Fusion. 1355–1362.
19.
Krishnamurthy, Vikram, et al.. (2009). Upper bounds for the sensor subset selection problem. International Conference on Information Fusion. 110–117. 2 indexed citations
20.
Johnson, C.R., et al.. (1992). Blind adaptive equalizer average stationary point stability analysis with admissibility consequences. 2 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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