Elvis Dohmatob

1.1k total citations
16 papers, 408 citations indexed

About

Elvis Dohmatob is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence. According to data from OpenAlex, Elvis Dohmatob has authored 16 papers receiving a total of 408 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Artificial Intelligence. Recurrent topics in Elvis Dohmatob's work include Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (6 papers). Elvis Dohmatob is often cited by papers focused on Functional Brain Connectivity Studies (7 papers), Advanced Neuroimaging Techniques and Applications (6 papers) and Advanced MRI Techniques and Applications (6 papers). Elvis Dohmatob collaborates with scholars based in France, United States and Russia. Elvis Dohmatob's co-authors include Bertrand Thirion, Gaël Varoquaux, Jean‐Baptiste Poline, Guillaume Dumas, Danilo Bzdok, Dimitris Samaras, Alexandre Abraham, Ana Lúısa Pinho, Nicolas Usunier and Alexandre Gramfort and has published in prestigious journals such as NeuroImage, Human Brain Mapping and Frontiers in Neuroscience.

In The Last Decade

Elvis Dohmatob

14 papers receiving 400 citations

Peers

Elvis Dohmatob

RNMI

ECP

PMH

Andrew Michael United States

JungHoe Kim South Korea

Mayrim Vega‐Hernández Cuba

Ricardo Pio Monti United Kingdom

Eunsoo Shim United States

Daniel G. Wakeman United States

Matthieu Perrot France

Yassine Benhajali Canada

Rogers F. Silva United States

Toni Auranen Finland

Andrew Michael United States

Elvis Dohmatob

298 ×0.9

136 ×0.8

RNMI

44 ×0.9

49 ×1.4

ECP

41 ×2.2

PMH

Citations per year, relative to Elvis Dohmatob Elvis Dohmatob (= 1×) peers Andrew Michael

Countries citing papers authored by Elvis Dohmatob

Since Specialization

Citations

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

Fields of papers citing papers by Elvis Dohmatob

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elvis Dohmatob

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

All Works

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16 of 16 papers shown

Usunier, Nicolas, et al.. (2022). Fast online ranking with fairness of exposure. 2157–2167. 9 indexed citations

Dohmatob, Elvis, et al.. (2021). Brain topography beyond parcellations: Local gradients of functional maps. NeuroImage. 229. 117706–117706. 17 indexed citations

Smirnova, Elena & Elvis Dohmatob. (2020). On the Convergence of Smooth Regularized Approximate Value Iteration Schemes. Neural Information Processing Systems. 33. 6540–6550.

Dohmatob, Elvis, et al.. (2020). Distributionally Robust Counterfactual Risk Minimization. Proceedings of the AAAI Conference on Artificial Intelligence. 34(4). 3850–3857. 1 indexed citations

Dohmatob, Elvis, Guillaume Dumas, & Danilo Bzdok. (2020). Dark control: The default mode network as a reinforcement learning agent. Human Brain Mapping. 41(12). 3318–3341. 64 indexed citations

Dohmatob, Elvis, et al.. (2019). Adversarial Robustness via Adversarial Label-Smoothing.. arXiv (Cornell University). 7 indexed citations

Dohmatob, Elvis. (2018). Limitations of adversarial robustness: strong No Free Lunch Theorem.. arXiv (Cornell University). 5 indexed citations

Dohmatob, Elvis, Gaël Varoquaux, & Bertrand Thirion. (2018). Inter-subject Registration of Functional Images: Do We Need Anatomical Images?. Frontiers in Neuroscience. 12. 64–64. 29 indexed citations

Dohmatob, Elvis, et al.. (2016). Multivariate hurst exponent estimation in FMRI. Application to brain decoding of perceptual learning. 21. 996–1000. 4 indexed citations

10.

Dohmatob, Elvis, Michael Eickenberg, Bertrand Thirion, & Gaël Varoquaux. (2015). Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening. 17–20. 3 indexed citations

11.

Thirion, Bertrand, Gaël Varoquaux, Elvis Dohmatob, & Jean‐Baptiste Poline. (2014). Which fMRI clustering gives good brain parcellations. 5. 1 indexed citations

12.

Dohmatob, Elvis, Alexandre Gramfort, Bertrand Thirion, & Gaël Varoquaux. (2014). Benchmarking solvers for TV-ℓ<inf>1</inf> least-squares and logistic regression in brain imaging. 1–4. 12 indexed citations

13.

Thirion, Bertrand, Gaël Varoquaux, & Elvis Dohmatob. (2014). New Results - Which fMRI clustering gives good brain parcellations?. 4 indexed citations

14.

Thirion, Bertrand, Gaël Varoquaux, Elvis Dohmatob, & Jean‐Baptiste Poline. (2014). Which fMRI clustering gives good brain parcellations?. Frontiers in Neuroscience. 8. 220 indexed citations

15.

Abraham, Alexandre, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, & Gaël Varoquaux. (2013). Extracting Brain Regions from Rest fMRI with Total-Variation Constrained Dictionary Learning. Lecture notes in computer science. 16(Pt 2). 607–615. 31 indexed citations

16.

Abraham, Alexandre, Elvis Dohmatob, Bertrand Thirion, Dimitris Samaras, & Gaël Varoquaux. (2013). Extracting brain regions from rest fMRI with Total-Variation constrained dictionary learning. SPIRE - Sciences Po Institutional REpository. 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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