Ashok Cutkosky

2.2k total citations · 1 hit paper
17 papers, 1.2k citations indexed

About

Ashok Cutkosky is a scholar working on Management Science and Operations Research, Artificial Intelligence and Computational Mechanics. According to data from OpenAlex, Ashok Cutkosky has authored 17 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Management Science and Operations Research, 10 papers in Artificial Intelligence and 4 papers in Computational Mechanics. Recurrent topics in Ashok Cutkosky's work include Advanced Bandit Algorithms Research (11 papers), Stochastic Gradient Optimization Techniques (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Ashok Cutkosky is often cited by papers focused on Advanced Bandit Algorithms Research (11 papers), Stochastic Gradient Optimization Techniques (5 papers) and Sparse and Compressive Sensing Techniques (4 papers). Ashok Cutkosky collaborates with scholars based in United States. Ashok Cutkosky's co-authors include Erez Lieberman Aiden, Neva C. Durand, Dharmaraj Chinnappan, Eric S. Lander, Elena K. Stamenova, Andrew I. Jewett, Adrian L. Sanborn, Miriam Huntley, Su-Chen Huang and Suhas S.P. Rao and has published in prestigious journals such as Proceedings of the National Academy of Sciences, arXiv (Cornell University) and OpenBU (Boston University).

In The Last Decade

Ashok Cutkosky

11 papers receiving 1.2k citations

Hit Papers

Chromatin extrusion explains key features of loop and dom... 2015 2026 2018 2022 2015 250 500 750 1000

Peers

Ashok Cutkosky
Comparison fields: 5 of 66
  • Molecular Biology 1.1k
  • Plant Science 373
  • Genetics 147
  • Immunology 46
  • Cancer Research 38
Replace Norbert Dojer with:
Norbert Dojer Poland
Joke G. van Bemmel Netherlands
Christopher A. Penfold United Kingdom
Eugenio Azpeitia Mexico
Robert Schöpflin Germany
Michal Levo United States
Kaan Saracoglu Germany
Quan Pham United States
Damian Keefe United Kingdom
Adam Faulconbridge United Kingdom
Norbert Dojer Poland View profile →
Citations per field, relative to Ashok Cutkosky
Ashok Cutkosky · 1×
Citations per year, relative to Ashok Cutkosky
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Countries citing papers authored by Ashok Cutkosky

Since Specialization
Citations

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

Fields of papers citing papers by Ashok Cutkosky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashok Cutkosky

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 0
3 0
4
Dynamic Balancing for Model Selection in Bandits and RL
1
5
Robust Pure Exploration in Linear Bandits with Limited Budget
3
6
Better Full-Matrix Regret via Parameter-Free Online Learning
0
7
Parameter-free, Dynamic, and Strongly-Adaptive Online Learning
0
8
Online Learning with Imperfect Hints
4
9
Matrix-Free Preconditioning in Online Learning
3
10
Anytime Online-to-Batch, Optimism and Acceleration
2
11
Kernel Truncated Randomized Ridge Regression: Optimal Rates and Low Noise Acceleration
1
12
Distributed Stochastic Optimization via Adaptive Stochastic Gradient Descent.
2
13 6
14
Stochastic and Adversarial Online Learning without Hyperparameters
4
15 6
16
Chromatin extrusion explains key features of loop and domain formation in wild-type and engineered genomes breakdown →
1146
17
In silico simulations of polymer condensation: the fractal globule as a metastable state
1

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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