Aditya Grover
- Artificial Intelligence top 0.1%
- Statistical and Nonlinear Physics top 0.2%
- Information Systems top 0.2%
- Molecular Biology top 10%
- Electrical and Electronic Engineering top 5%
- Co-authors
- Jure LeskovecStefano ErmonEric HorvitzAshish KapoorStephen J. HarrisPatrick K. HerringWilliam C. ChuehRichard D. Braatz
- Topics
- Generative Adversarial Networks and Image Synthesis (7 papers)Adversarial Robustness in Machine Learning (4 papers)Bayesian Modeling and Causal Inference (3 papers)
- Partner nations
- United StatesIndiaJapan
In The Last Decade
Aditya Grover
24 papers receiving 7.2k citations
Hit Papers
Peers
Comparison fields: 5 of 162
- Artificial Intelligence 4.5k
- Statistical and Nonlinear Physics 2.3k
- Information Systems 1.5k
- Molecular Biology 1.3k
- Electrical and Electronic Engineering 831
Countries citing papers authored by Aditya Grover
This map shows the geographic impact of Aditya Grover'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 Aditya Grover with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Grover more than expected).
Fields of papers citing papers by Aditya Grover
This network shows the impact of papers produced by Aditya Grover. 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 Aditya Grover. The network helps show where Aditya Grover may publish in the future.
Co-authorship network of co-authors of Aditya Grover
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Grover. A scholar is included among the top collaborators of Aditya Grover 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 Aditya Grover. Aditya Grover is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 17 | |
| 5 | 89 | |
| 6 | 1 | |
| 7 | Closed-loop optimization of fast-charging protocols for batteries with machine learningbreakdown → | 748 |
| 8 | Bias Correction of Learned Generative Models using Likelihood-Free Importance Weighting | 6 |
| 9 | Stochastic Optimization of Sorting Networks via Continuous Relaxations | 10 |
| 10 | Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization | 4 |
| 11 | Modeling Sparse Deviations for Compressed Sensing using Generative Models | 8 |
| 12 | Learning Policy Representations in Multiagent Systems | 5 |
| 13 | 2 | |
| 14 | Amortized Variational Compressive Sensing | 1 |
| 15 | Flow-GAN: Bridging implicit and prescribed learning in generative models. | 3 |
| 16 | 2 | |
| 17 | Contextual symmetries in probabilistic graphical models | 0 |
| 18 | node2vecbreakdown → | 6191 |
| 19 | ASAP-UCT: abstraction of state-action pairs in UCT | 12 |
| 20 | A cardiac evoked response algorithm providing automatic threshold tracking for continuous capture verification: a single-center prospective study. | 5 |
About Aditya Grover
Aditya Grover is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and General Social Sciences, having authored 29 papers that have together received 7.5k indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (7 papers), Adversarial Robustness in Machine Learning (4 papers) and Bayesian Modeling and Causal Inference (3 papers). The work is most often cited by research in Statistical and Nonlinear Physics (2.3k citations), Artificial Intelligence (4.5k citations) and Information Systems (1.5k citations). Aditya Grover has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Jure Leskovec, Stefano Ermon, Eric Horvitz, Ashish Kapoor, Stephen J. Harris, Patrick K. Herring, William C. Chueh, Richard D. Braatz, Peter M. Attia and Bryan Cheong. Their work appears in journals such as Nature, Joule and arXiv (Cornell University).
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.