Gautam Dasarathy
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience
- Molecular Biology
- Computer Networks and Communications top 10%
- Co-authors
- Robert D. NowakVisar BerishaPavan TuragaP. Richard HahnShira HahnJulie LissBrian ErikssonAnamitra Pal
- Topics
- Machine Learning and Algorithms (9 papers)Sparse and Compressive Sensing Techniques (5 papers)Machine Learning and Data Classification (4 papers)
- Journals
- IEEE Transactions on Information TheoryIEEE Transactions on Power SystemsJournal of Machine Learning Research
- Partner nations
- United StatesMexicoIsrael
In The Last Decade
Gautam Dasarathy
36 papers receiving 582 citations
Hit Papers
Peers
Comparison fields: 5 of 131
- Artificial Intelligence 178
- Electrical and Electronic Engineering 107
- Cognitive Neuroscience 77
- Molecular Biology 74
- Computer Networks and Communications 63
Countries citing papers authored by Gautam Dasarathy
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 51 | |
| 5 | 0 | |
| 6 | 14 | |
| 7 | 6 | |
| 8 | Digital medicine and the curse of dimensionalitybreakdown → | 178 |
| 9 | 30 | |
| 10 | Regularization via Structural Label Smoothing | 5 |
| 11 | A Data-Driven and Distributed Approach to Sparse Signal Representation and Recovery | 14 |
| 12 | 32 | |
| 13 | 1 | |
| 14 | Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations | 25 |
| 15 | 2 | |
| 16 | S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification | 7 |
| 17 | 3 | |
| 18 | 4 | |
| 19 | 4 | |
| 20 | 28 |
About Gautam Dasarathy
Gautam Dasarathy is a scholar working on Artificial Intelligence, General Decision Sciences and Signal Processing, having authored 37 papers that have together received 600 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (9 papers), Sparse and Compressive Sensing Techniques (5 papers) and Machine Learning and Data Classification (4 papers). The work is most often cited by research in Health Informatics (21 citations), Computational Mathematics (4 citations) and Human-Computer Interaction (32 citations). Gautam Dasarathy has collaborated with scholars based in United States, Mexico and Israel. Frequent co-authors include Robert D. Nowak, Visar Berisha, Pavan Turaga, P. Richard Hahn, Shira Hahn, Julie Liss, Brian Eriksson, Anamitra Pal, Richard G. Baraniuk and Paul Barford. Their work appears in journals such as IEEE Transactions on Information Theory, IEEE Transactions on Power Systems and Journal of Machine Learning Research.
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.