Omer Gottesman

804 total citations
11 papers, 340 citations indexed

About

Omer Gottesman is a scholar working on Mechanical Engineering, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Omer Gottesman has authored 11 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Mechanical Engineering, 2 papers in Molecular Biology and 2 papers in Artificial Intelligence. Recurrent topics in Omer Gottesman's work include Advanced Materials and Mechanics (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Advanced Causal Inference Techniques (2 papers). Omer Gottesman is often cited by papers focused on Advanced Materials and Mechanics (3 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers) and Advanced Causal Inference Techniques (2 papers). Omer Gottesman collaborates with scholars based in United States, United Kingdom and Switzerland. Omer Gottesman's co-authors include Shmuel M. Rubinstein, Finale Doshi‐Velez, A. Aldo Faisal, Matthieu Komorowski, Fredrik Johansson, Leo Anthony Celi, David Sontag, Yoav Lahini, Ariel Amir and Baruch Meerson and has published in prestigious journals such as Physical Review Letters, Nature Medicine and Nature Communications.

In The Last Decade

Omer Gottesman

10 papers receiving 328 citations

Peers

Omer Gottesman

AI

ME

HI

BE

MC

Sumanth Swaminathan United States

Trevor Back United Kingdom

Georgios Arampatzis Switzerland

Jia Ding China

Jonathan G. Richens United Kingdom

George Konstantinidis United Kingdom

J. Weston Hughes United States

Youssoufa Mohamadou Cameroon

Somalee Datta United States

Sumanth Swaminathan United States

Omer Gottesman

44 ×0.5

AI

20 ×0.3

ME

12 ×0.3

HI

90 ×2.1

BE

33 ×0.8

MC

Citations per year, relative to Omer Gottesman Omer Gottesman (= 1×) peers Sumanth Swaminathan

Countries citing papers authored by Omer Gottesman

Since Specialization

Citations

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

Fields of papers citing papers by Omer Gottesman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omer Gottesman

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

All Works

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11 of 11 papers shown

1.

Allen, Cameron, Omer Gottesman, George Konidaris, et al.. (2024). Mitigating Partial Observability in Sequential Decision Processes via the Lambda Discrepancy. 62988–63028.

2.

Gottesman, Omer, et al.. (2020). Learning to search efficiently for causally near-optimal treatments. Chalmers Research (Chalmers University of Technology). 33. 1333–1344. 1 indexed citations

3.

Gottesman, Omer, et al.. (2019). Combining Parametric and Nonparametric Models for Off-Policy Evaluation. arXiv (Cornell University). 2366–2375. 3 indexed citations

4.

Gottesman, Omer, Fredrik Johansson, Matthieu Komorowski, et al.. (2018). Guidelines for reinforcement learning in healthcare. Nature Medicine. 25(1). 16–18. 177 indexed citations

5.

Gottesman, Omer, Etienne Vouga, Shmuel M. Rubinstein, & L. Mahadevan. (2018). Localized patterns in crushed conical shells. Europhysics Letters (EPL). 124(1). 14005–14005. 3 indexed citations

6.

Parbhoo, Sonali, Omer Gottesman, Andrew Slavin Ross, et al.. (2018). Improving counterfactual reasoning with kernelised dynamic mixing models. PLoS ONE. 13(11). e0205839–e0205839. 2 indexed citations

7.

Gottesman, Omer, et al.. (2018). A state variable for crumpled thin sheets. Communications Physics. 1(1). 23 indexed citations

8.

Ding, Yi, Omer Gottesman, Matthieu Komorowski, et al.. (2018). Improving Sepsis Treatment Strategies by Combining Deep and Kernel-Based Reinforcement Learning.. PubMed. 2018. 887–896. 23 indexed citations

9.

Lahini, Yoav, Omer Gottesman, Ariel Amir, & Shmuel M. Rubinstein. (2017). Nonmonotonic Aging and Memory Retention in Disordered Mechanical Systems. Physical Review Letters. 118(8). 85501–85501. 78 indexed citations

10.

Gottesman, Omer, Efi Efrati, & Shmuel M. Rubinstein. (2015). Furrows in the wake of propagating d-cones. Nature Communications. 6(1). 7232–7232. 8 indexed citations

11.

Gottesman, Omer & Baruch Meerson. (2012). Multiple extinction routes in stochastic population models. Physical Review E. 85(2). 21140–21140. 22 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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