Gautam Dasarathy

1.3k total citations · 1 hit paper
37 papers, 600 citations indexed

About

Gautam Dasarathy is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Gautam Dasarathy has authored 37 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Computer Networks and Communications. Recurrent topics in Gautam Dasarathy's work include Machine Learning and Algorithms (9 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and Data Classification (4 papers). Gautam Dasarathy is often cited by papers focused on Machine Learning and Algorithms (9 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and Data Classification (4 papers). Gautam Dasarathy collaborates with scholars based in United States, Nicaragua and Mexico. Gautam Dasarathy's co-authors include Visar Berisha, Robert D. Nowak, Pavan Turaga, Julie Liss, Shira Hahn, P. Richard Hahn, Brian Eriksson, Anamitra Pal, Richard G. Baraniuk and Paul Barford and has published in prestigious journals such as IEEE Transactions on Information Theory, IEEE Transactions on Power Systems and Journal of Machine Learning Research.

In The Last Decade

Gautam Dasarathy

36 papers receiving 582 citations

Hit Papers

Digital medicine and the ... 2021 2026 2022 2024 2021 50 100 150
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. Digital medicine and the curse of dimensionality
    2021 178 citations Visar Berisha, P. Richard Hahn et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gautam Dasarathy United States 14 178 107 77 74 63 37 600
István Dénes Germany 6 148 0.8× 49 0.5× 36 0.5× 37 0.5× 34 0.5× 12 454
Vikas Singh India 12 165 0.9× 46 0.4× 72 0.9× 65 0.9× 31 0.5× 48 714
Vanessa Gómez-Verdejo Spain 14 239 1.3× 53 0.5× 105 1.4× 24 0.3× 26 0.4× 41 560
Mustafa Poyraz Türkiye 14 159 0.9× 180 1.7× 76 1.0× 46 0.6× 35 0.6× 33 649
Jacob R. Gardner United States 10 254 1.4× 52 0.5× 48 0.6× 24 0.3× 23 0.4× 19 517
Emilio Parrado-Hernández Spain 11 188 1.1× 90 0.8× 29 0.4× 17 0.2× 19 0.3× 25 414
Yunfeng Liu China 7 260 1.5× 46 0.4× 17 0.2× 71 1.0× 49 0.8× 24 681
Pierrick Legrand France 12 134 0.8× 25 0.2× 77 1.0× 38 0.5× 25 0.4× 58 403
Vojtěch Franc Czechia 15 333 1.9× 41 0.4× 55 0.7× 39 0.5× 90 1.4× 31 927

Countries citing papers authored by Gautam Dasarathy

Since Specialization
Citations

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

Fields of papers citing papers by Gautam Dasarathy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gautam Dasarathy

This figure shows the co-authorship network connecting the top 25 collaborators of Gautam Dasarathy. A scholar is included among the top collaborators of Gautam Dasarathy 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 Gautam Dasarathy. Gautam Dasarathy 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.
Dasarathy, Gautam, et al.. (2025). Unraveling overoptimism and publication bias in ML-driven science. Patterns. 6(4). 101185–101185. 4 indexed citations
2.
Dasarathy, Gautam, et al.. (2025). Structure Learning in Gaussian Graphical Models from Glauber Dynamics. 1–6. 1 indexed citations
3.
Cheng, Jiajun, et al.. (2024). The Sample Complexity of Differential Analysis for Networks that Obey Conservation Laws *. 1020–1024. 1 indexed citations
4.
Anguluri, Rajasekhar, et al.. (2023). Differential Analysis for Networks Obeying Conservation Laws. 1–5. 2 indexed citations
5.
Pal, Anamitra, et al.. (2022). State and Topology Estimation for Unobservable Distribution Systems Using Deep Neural Networks. IEEE Transactions on Instrumentation and Measurement. 71. 1–14. 51 indexed citations
6.
Dasarathy, Gautam, Elchanan Mossel, Robert D. Nowak, & Sébastien Roch. (2022). A stochastic Farris transform for genetic data under the multispecies coalescent with applications to data requirements. Journal of Mathematical Biology. 84(5). 36–36.
7.
Dasarathy, Gautam, et al.. (2022). A Graph-Based Approach to Boundary Estimation With Mobile Sensors. IEEE Robotics and Automation Letters. 7(2). 4991–4998. 2 indexed citations
8.
Anguluri, Rajasekhar, Gautam Dasarathy, Oliver Kosut, & Lalitha Sankar. (2021). Grid Topology Identification With Hidden Nodes via Structured Norm Minimization. IEEE Control Systems Letters. 6. 1244–1249. 6 indexed citations
9.
Berisha, Visar, P. Richard Hahn, Shira Hahn, et al.. (2021). Digital medicine and the curse of dimensionality. npj Digital Medicine. 4(1). 153–153. 178 indexed citations breakdown →
10.
Dasarathy, Gautam, et al.. (2021). Bayesian Optimization in High-Dimensional Spaces: A Brief Survey. 1–8. 32 indexed citations
11.
Dasarathy, Gautam, et al.. (2020). A Multisensory Approach to Present Phonemes as Language Through a Wearable Haptic Device. IEEE Transactions on Haptics. 14(1). 188–199. 30 indexed citations
12.
Li, Weizhi, Gautam Dasarathy, & Visar Berisha. (2020). Regularization via Structural Label Smoothing. International Conference on Artificial Intelligence and Statistics. 1453–1463. 5 indexed citations
13.
Dasarathy, Gautam, et al.. (2019). A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery. International Conference on Learning Representations. 14 indexed citations
14.
Dasarathy, Gautam, Ali Israr, Frances Lau, et al.. (2018). Conveying language through haptics. Rice Digital Scholarship Archive (Rice University). 25–32. 32 indexed citations
15.
Kandasamy, Kirthevasan, Gautam Dasarathy, Junier B. Oliva, Jeff Schneider, & Barnabás Póczos. (2016). Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations. Neural Information Processing Systems. 29. 992–1000. 25 indexed citations
16.
Kandasamy, Kirthevasan, Gautam Dasarathy, Jeff Schneider, & Barnabás Póczos. (2016). The Multi-fidelity Multi-armed Bandit. arXiv (Cornell University). 29. 1777–1785. 2 indexed citations
17.
Dasarathy, Gautam, Robert D. Nowak, & Xiaojin Zhu. (2015). S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification. Journal of Machine Learning Research. 40(2015). 503–522. 7 indexed citations
18.
Dasarathy, Gautam, Robert Nowak, & Sébastien Roch. (2014). New sample complexity bounds for phylogenetic inference from multiple loci. 2037–2041. 3 indexed citations
19.
Dasarathy, Gautam, Robert Nowak, & Sébastien Roch. (2014). Data Requirement for Phylogenetic Inference from Multiple Loci: A New Distance Method. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 12(2). 422–432. 27 indexed citations
20.
Eriksson, Brian, Gautam Dasarathy, Aarti Singh, & Robert D. Nowak. (2011). Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities. arXiv (Cornell University). 15. 260–268. 28 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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