Yasser Roudi

3.2k total citations · 3 hit papers
48 papers, 2.0k citations indexed

About

Yasser Roudi is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Cellular and Molecular Neuroscience. According to data from OpenAlex, Yasser Roudi has authored 48 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Cognitive Neuroscience, 14 papers in Artificial Intelligence and 13 papers in Cellular and Molecular Neuroscience. Recurrent topics in Yasser Roudi's work include Neural dynamics and brain function (27 papers), Neural Networks and Applications (14 papers) and Neuroscience and Neuropharmacology Research (10 papers). Yasser Roudi is often cited by papers focused on Neural dynamics and brain function (27 papers), Neural Networks and Applications (14 papers) and Neuroscience and Neuropharmacology Research (10 papers). Yasser Roudi collaborates with scholars based in Norway, Sweden and Italy. Yasser Roudi's co-authors include May‐Britt Moser, Edvard I Moser, John Hertz, Benjamin Dunn, Peter E. Latham, Menno P. Witter, Joanna Tyrcha, Clifford G. Kentros, Sheila Nirenberg and David C Rowland and has published in prestigious journals such as Physical Review Letters, Neuron and Nature Neuroscience.

In The Last Decade

Yasser Roudi

44 papers receiving 1.9k citations

Hit Papers

Recurrent inhibitory circ... 2013 2026 2017 2021 2013 2013 2014 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yasser Roudi Norway 21 1.5k 949 324 225 200 48 2.0k
Marcelo A. Montemurro United Kingdom 24 1.6k 1.1× 964 1.0× 437 1.3× 432 1.9× 354 1.8× 54 2.7k
Anthony N. Burkitt Australia 31 1.8k 1.2× 1.3k 1.3× 389 1.2× 106 0.5× 174 0.9× 168 2.6k
Michael R. DeWeese United States 25 1.8k 1.2× 916 1.0× 820 2.5× 324 1.4× 158 0.8× 53 2.6k
David Hansel France 27 1.8k 1.3× 1.4k 1.5× 698 2.2× 295 1.3× 146 0.7× 53 2.8k
Ronen Segev Israel 27 2.5k 1.7× 1.4k 1.5× 612 1.9× 373 1.7× 989 4.9× 72 3.8k
Elad Schneidman Israel 25 2.4k 1.7× 1.3k 1.4× 814 2.5× 493 2.2× 769 3.8× 51 3.8k
Hemant Bokil United States 17 1.4k 0.9× 937 1.0× 126 0.4× 47 0.2× 300 1.5× 30 2.4k
Jeffrey L. Gauthier United States 21 1.8k 1.2× 1.3k 1.4× 175 0.5× 190 0.8× 770 3.9× 26 2.6k
Kanaka Rajan United States 14 1.2k 0.8× 515 0.5× 246 0.8× 354 1.6× 130 0.7× 28 1.6k
Thomas Trappenberg Canada 23 1.1k 0.7× 363 0.4× 54 0.2× 263 1.2× 64 0.3× 91 1.7k

Countries citing papers authored by Yasser Roudi

Since Specialization
Citations

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

Fields of papers citing papers by Yasser Roudi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yasser Roudi

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

All Works

20 of 20 papers shown
1.
Jha, S. N., et al.. (2025). Correction: The role of oscillations in grid cells’ toroidal topology. PLoS Computational Biology. 21(10). e1013623–e1013623.
2.
Whitlock, Jonathan R., et al.. (2024). The quality and complexity of pairwise maximum entropy models for large cortical populations. PLoS Computational Biology. 20(5). e1012074–e1012074. 3 indexed citations
3.
Ledergerber, Debora, Jan Sigurd Blackstad, Richard J. Gardner, et al.. (2021). Task-dependent mixed selectivity in the subiculum. Cell Reports. 35(8). 109175–109175. 27 indexed citations
4.
Roudi, Yasser, et al.. (2021). Efficiency of Local Learning Rules in Threshold-Linear Associative Networks. Physical Review Letters. 126(1). 18301–18301. 6 indexed citations
5.
Rouhani, S., et al.. (2019). Phase transitions and asymmetry between signal comprehension and production in biological communication. Scientific Reports. 9(1). 3428–3428. 8 indexed citations
6.
Opper, Manfred, Yasser Roudi, & Peter Sollich. (2015). Special issue on modelling and inference in the dynamics of complex interaction networks: advanced approximation techniques. Journal of Physics A Mathematical and Theoretical. 48(23). 230201–230201. 1 indexed citations
7.
Roudi, Yasser & Graham W. Taylor. (2015). Learning with hidden variables. Current Opinion in Neurobiology. 35. 110–118. 16 indexed citations
8.
Roudi, Yasser, Benjamin Dunn, & John Hertz. (2014). Multi-neuronal activity and functional connectivity in cell assemblies. Current Opinion in Neurobiology. 32. 38–44. 31 indexed citations
9.
Moser, Edvard I, Yasser Roudi, Menno P. Witter, et al.. (2014). Grid cells and cortical representation. Nature reviews. Neuroscience. 15(7). 466–481. 211 indexed citations breakdown →
10.
Zeng, Hong-Li, Mikko J. Alava, Erik Aurell, John Hertz, & Yasser Roudi. (2013). Maximum Likelihood Reconstruction for Ising Models with Asynchronous Updates. Physical Review Letters. 110(21). 210601–210601. 27 indexed citations
11.
Couey, Jonathan J., Aree Witoelar, Sheng-Jia Zhang, et al.. (2013). Recurrent inhibitory circuitry as a mechanism for grid formation. Nature Neuroscience. 16(3). 318–324. 286 indexed citations breakdown →
12.
Tyrcha, Joanna, Yasser Roudi, Matteo Marsili, & John Hertz. (2013). The effect of nonstationarity on models inferred from neural data. Journal of Statistical Mechanics Theory and Experiment. 2013(3). P03005–P03005. 35 indexed citations
13.
Giocomo, Lisa M. & Yasser Roudi. (2012). The Neural Encoding of Space in Parahippocampal Cortices. Frontiers in Neural Circuits. 6. 53–53. 2 indexed citations
14.
Roudi, Yasser & John Hertz. (2011). Mean Field Theory for Nonequilibrium Network Reconstruction. Physical Review Letters. 106(4). 48702–48702. 84 indexed citations
15.
Latham, Peter E. & Yasser Roudi. (2009). Mutual information. Scholarpedia. 4(1). 1658–1658. 49 indexed citations
16.
Roudi, Yasser, Sheila Nirenberg, & Peter E. Latham. (2009). Pairwise Maximum Entropy Models for Studying Large Biological Systems: When They Can Work and When They Can't. PLoS Computational Biology. 5(5). e1000380–e1000380. 117 indexed citations
17.
Roudi, Yasser. (2009). Statistical physics of pairwise probability models. Frontiers in Computational Neuroscience. 3. 22–22. 79 indexed citations
18.
Roudi, Yasser, Joanna Tyrcha, & John Hertz. (2009). Ising model for neural data: Model quality and approximate methods for extracting functional connectivity. Physical Review E. 79(5). 51915–51915. 121 indexed citations
19.
Roudi, Yasser, Joanna Tyrcha, & John Hertz. (2009). Fast and reliable methods for extracting functional connectivity in large populations. BMC Neuroscience. 10(S1). 1 indexed citations
20.
Roudi, Yasser & Alessandro Treves. (2006). Localized activity profiles and storage capacity of rate-based autoassociative networks. Physical Review E. 73(6). 61904–61904. 17 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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