Ashish Khetan

560 total citations
10 papers, 56 citations indexed

About

Ashish Khetan is a scholar working on Artificial Intelligence, Civil and Structural Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Ashish Khetan has authored 10 papers receiving a total of 56 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Civil and Structural Engineering and 2 papers in Computational Theory and Mathematics. Recurrent topics in Ashish Khetan's work include Topology Optimization in Engineering (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Topic Modeling (2 papers). Ashish Khetan is often cited by papers focused on Topology Optimization in Engineering (3 papers), Advanced Multi-Objective Optimization Algorithms (2 papers) and Topic Modeling (2 papers). Ashish Khetan collaborates with scholars based in United States and Canada. Ashish Khetan's co-authors include Sewoong Oh, James T. Allison, Danny J. Lohan, Animashree Anandkumar, Zachary C. Lipton, Zinan Lin, Kiran Koshy Thekumparampil, Zohar Karnin, Xin Huang and Daniel Khashabi and has published in prestigious journals such as Journal of Machine Learning Research, Structural and Multidisciplinary Optimization and CaltechAUTHORS (California Institute of Technology).

In The Last Decade

Ashish Khetan

9 papers receiving 54 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ashish Khetan United States 5 24 11 10 10 7 10 56
D. J. Cox United States 2 31 1.3× 7 0.6× 8 0.8× 3 0.3× 3 0.4× 2 74
R. Richards United States 6 20 0.8× 7 0.6× 5 0.5× 7 0.7× 2 0.3× 25 89
Bogdan Trawiński Poland 4 36 1.5× 10 0.9× 8 0.8× 4 0.4× 4 0.6× 6 77
Christina Klüver Germany 5 25 1.0× 4 0.4× 5 0.5× 8 0.8× 2 0.3× 26 78
Rahul Roy India 5 29 1.2× 16 1.5× 8 0.8× 4 0.4× 1 0.1× 14 109
Bruno Monsuez France 6 12 0.5× 16 1.5× 4 0.4× 12 1.2× 5 0.7× 29 78
Valérie Camps France 6 33 1.4× 5 0.5× 16 1.6× 8 0.8× 18 78
Alexander I. Cowen-Rivers United Kingdom 4 32 1.3× 24 2.2× 4 0.4× 4 0.4× 3 0.4× 6 94
Hubert Zarzycki Poland 5 49 2.0× 28 2.5× 6 0.6× 6 0.6× 1 0.1× 8 75
SV Silvia Nedea United Kingdom 3 11 0.5× 10 0.9× 5 0.5× 13 1.3× 2 0.3× 4 40

Countries citing papers authored by Ashish Khetan

Since Specialization
Citations

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

Fields of papers citing papers by Ashish Khetan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashish Khetan

This figure shows the co-authorship network connecting the top 25 collaborators of Ashish Khetan. A scholar is included among the top collaborators of Ashish Khetan 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 Ashish Khetan. Ashish Khetan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Khetan, Ashish, et al.. (2023). Representation Projection Invariance Mitigates Representation Collapse. 14638–14664. 1 indexed citations
2.
Huang, Xin, et al.. (2022). Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 8798–8817. 5 indexed citations
3.
Thekumparampil, Kiran Koshy, Ashish Khetan, Zinan Lin, & Sewoong Oh. (2018). Robustness of conditional GANs to noisy labels. Neural Information Processing Systems. 31. 10271–10282. 7 indexed citations
4.
Khetan, Ashish & Sewoong Oh. (2017). Matrix Norm Estimation from a Few Entries. Neural Information Processing Systems. 30. 6424–6433. 2 indexed citations
5.
Khetan, Ashish, Zachary C. Lipton, & Animashree Anandkumar. (2017). Learning From Noisy Singly-labeled Data. CaltechAUTHORS (California Institute of Technology). 10 indexed citations
6.
Khetan, Ashish & Sewoong Oh. (2016). Data-driven Rank Breaking for Efficient Rank Aggregation. Journal of Machine Learning Research. 17(1). 6668–6721. 9 indexed citations
7.
Khetan, Ashish, Danny J. Lohan, & James T. Allison. (2015). Managing variable-dimension structural optimization problems using generative algorithms. Structural and Multidisciplinary Optimization. 52(4). 695–715. 19 indexed citations
8.
Khetan, Ashish. (2014). Large scale structural optimization using genetic and generative algorithms with sequential linear programming.
9.
Khetan, Ashish & James T. Allison. (2014). Large-Scale Topology Optimization Using Parameterized Boolean Networks. 2 indexed citations
10.
Khetan, Ashish, et al.. (2009). 26/11 Mumbai Attacked. Medical Entomology and Zoology. 1 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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