Maya R. Gupta
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Signal Processing top 2%
- Media Technology top 2%
- Statistics and Probability top 2%
- Co-authors
- Santosh Kumar SrivastavaEric GarciaBéla A. FrigyikYihua ChenLuca CazzantiNathaniel JacobsonAli RahimiHyrum S. Anderson
- Topics
- Face and Expression Recognition (12 papers)Bayesian Methods and Mixture Models (10 papers)Statistical Methods and Inference (9 papers)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Maya R. Gupta
88 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 156
- Artificial Intelligence 811
- Computer Vision and Pattern Recognition 618
- Signal Processing 275
- Media Technology 172
- Statistics and Probability 144
Countries citing papers authored by Maya R. Gupta
This map shows the geographic impact of Maya R. Gupta'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 Maya R. Gupta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maya R. Gupta more than expected).
Fields of papers citing papers by Maya R. Gupta
This network shows the impact of papers produced by Maya R. Gupta. 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 Maya R. Gupta. The network helps show where Maya R. Gupta may publish in the future.
Co-authorship network of co-authors of Maya R. Gupta
This figure shows the co-authorship network connecting the top 25 collaborators of Maya R. Gupta. A scholar is included among the top collaborators of Maya R. Gupta 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 Maya R. Gupta. Maya R. Gupta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Deontological Ethics By Monotonicity Shape Constraints | 1 |
| 2 | On Making Stochastic Classifiers Deterministic | 1 |
| 3 | Optimizing Generalized Rate Metrics with Three Players | 4 |
| 4 | Shape Constraints for Set Functions | 5 |
| 5 | Constrained Interacting Submodular Groupings | 2 |
| 6 | 1 | |
| 7 | Deep Lattice Networks and Partial Monotonic Functions | 13 |
| 8 | Fast and Flexible Monotonic Functions with Ensembles of Lattices | 10 |
| 9 | 37 | |
| 10 | Satisfying real-world goals with dataset constraints | 9 |
| 11 | 52 | |
| 12 | Contact clustering and fusion for preprocessing multistatic active sonar data | 2 |
| 13 | Clutter rejection by clustering likelihood-based similarities | 6 |
| 14 | Clustering by Left-Stochastic Matrix Factorization | 18 |
| 15 | Shadow Dirichlet for Restricted Probability Modeling | 4 |
| 16 | 193 | |
| 17 | Fusing similarities and Euclidean features with generative classifiers | 2 |
| 18 | Sequential Bayesian estimation of the probability of detection for tracking | 13 |
| 19 | Lattice Regression | 6 |
| 20 | 163 |
About Maya R. Gupta
Maya R. Gupta is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Statistics and Probability, having authored 93 papers that have together received 1.9k indexed citations. Recurring topics across this work include Face and Expression Recognition (12 papers), Bayesian Methods and Mixture Models (10 papers) and Statistical Methods and Inference (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (618 citations), Signal Processing (275 citations) and Artificial Intelligence (811 citations). Maya R. Gupta has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Santosh Kumar Srivastava, Eric Garcia, Béla A. Frigyik, Yihua Chen, Luca Cazzanti, Nathaniel Jacobson, Ali Rahimi, Hyrum S. Anderson, Andrew Cotter and Jill Nelson. Their work appears in journals such as Bioinformatics, PLoS ONE and IEEE Transactions on Information Theory.
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.