Eghbal A. Hosseini

1.8k total citations · 1 hit paper
11 papers, 723 citations indexed

About

Eghbal A. Hosseini is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Biomedical Engineering. According to data from OpenAlex, Eghbal A. Hosseini has authored 11 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cognitive Neuroscience, 3 papers in Artificial Intelligence and 3 papers in Biomedical Engineering. Recurrent topics in Eghbal A. Hosseini's work include Motor Control and Adaptation (5 papers), Neural dynamics and brain function (4 papers) and Topic Modeling (3 papers). Eghbal A. Hosseini is often cited by papers focused on Motor Control and Adaptation (5 papers), Neural dynamics and brain function (4 papers) and Topic Modeling (3 papers). Eghbal A. Hosseini collaborates with scholars based in United States, Switzerland and Netherlands. Eghbal A. Hosseini's co-authors include Mehrdad Jazayeri, Devika Narain, Jing Wang, Evan D. Remington, Evelina Fedorenko, Martin Schrimpf, Greta Tuckute, Idan Blank, Carina Kauf and Nancy Kanwisher and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Neuron and SHILAP Revista de lepidopterología.

In The Last Decade

Eghbal A. Hosseini

11 papers receiving 715 citations

Hit Papers

The neural architecture of language: Integrative modeling... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eghbal A. Hosseini United States 8 613 188 84 71 65 11 723
Martin Schrimpf United States 7 538 0.9× 200 1.1× 65 0.8× 31 0.4× 56 0.9× 15 721
Natalia I. Córdova United States 7 377 0.6× 118 0.6× 43 0.5× 52 0.7× 45 0.7× 7 538
Sam Norman-Haignere United States 15 1.1k 1.7× 73 0.4× 90 1.1× 36 0.5× 261 4.0× 24 1.2k
Tomoyasu Horikawa Japan 11 796 1.3× 114 0.6× 65 0.8× 64 0.9× 118 1.8× 16 1.0k
Ariel Goldstein United States 6 256 0.4× 77 0.4× 68 0.8× 25 0.4× 67 1.0× 8 429
Devika Narain Netherlands 9 693 1.1× 127 0.7× 51 0.6× 109 1.5× 53 0.8× 11 785
Ethan M. Meyers United States 13 1.1k 1.7× 92 0.5× 87 1.0× 126 1.8× 135 2.1× 20 1.3k
Lorenzo Fontolan United States 8 860 1.4× 64 0.3× 35 0.4× 243 3.4× 87 1.3× 12 944
Alon Baram United Kingdom 3 506 0.8× 114 0.6× 50 0.6× 126 1.8× 53 0.8× 3 624
Pouya Bashivan United States 8 509 0.8× 112 0.6× 28 0.3× 41 0.6× 39 0.6× 23 657

Countries citing papers authored by Eghbal A. Hosseini

Since Specialization
Citations

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

Fields of papers citing papers by Eghbal A. Hosseini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eghbal A. Hosseini. 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 Eghbal A. Hosseini. The network helps show where Eghbal A. Hosseini may publish in the future.

Co-authorship network of co-authors of Eghbal A. Hosseini

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

All Works

11 of 11 papers shown
1.
Regev, Tamar I., Colton Casto, Eghbal A. Hosseini, et al.. (2024). Neural populations in the language network differ in the size of their temporal receptive windows. Nature Human Behaviour. 8(10). 1924–1942. 7 indexed citations
2.
Hosseini, Eghbal A., et al.. (2024). Artificial Neural Network Language Models Predict Human Brain Responses to Language Even After a Developmentally Realistic Amount of Training. SHILAP Revista de lepidopterología. 5(1). 43–63. 11 indexed citations
3.
Tuckute, Greta, et al.. (2023). WhisBERT: Multimodal Text-Audio Language Modeling on 100M Words. 225–230. 2 indexed citations
4.
Schrimpf, Martin, Idan Blank, Greta Tuckute, et al.. (2021). The neural architecture of language: Integrative modeling converges on predictive processing. Proceedings of the National Academy of Sciences. 118(45). 241 indexed citations breakdown →
5.
Wang, Jing, et al.. (2020). Reinforcement regulates timing variability in thalamus. eLife. 9. 11 indexed citations
6.
Hosseini, Eghbal A., et al.. (2019). Dissociating effects of error size, training duration, and amount of adaptation on the ability to retain motor memories. Journal of Neurophysiology. 122(5). 2027–2042. 19 indexed citations
7.
Nguyen, Katrina P., et al.. (2019). The 24-h savings of adaptation to novel movement dynamics initially reflects the recall of previous performance. Journal of Neurophysiology. 122(3). 933–946. 12 indexed citations
8.
Remington, Evan D., Devika Narain, Eghbal A. Hosseini, & Mehrdad Jazayeri. (2018). Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics. Neuron. 98(5). 1005–1019.e5. 156 indexed citations
9.
Wang, Jing, Devika Narain, Eghbal A. Hosseini, & Mehrdad Jazayeri. (2017). Flexible timing by temporal scaling of cortical responses. Nature Neuroscience. 21(1). 102–110. 252 indexed citations
10.
Hosseini, Eghbal A., Katrina P. Nguyen, & Wilsaan M. Joiner. (2017). The decay of motor adaptation to novel movement dynamics reveals an asymmetry in the stability of motion state-dependent learning. PLoS Computational Biology. 13(5). e1005492–e1005492. 11 indexed citations
11.
Hosseini, Eghbal A., et al.. (2015). Noise resistant design of wavelet based multiresolution control. 4959–4963. 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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