Behrad Noudoost

2.4k total citations
46 papers, 1.6k citations indexed

About

Behrad Noudoost is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Molecular Biology. According to data from OpenAlex, Behrad Noudoost has authored 46 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Cognitive Neuroscience, 18 papers in Cellular and Molecular Neuroscience and 7 papers in Molecular Biology. Recurrent topics in Behrad Noudoost's work include Neural dynamics and brain function (38 papers), Visual perception and processing mechanisms (25 papers) and Memory and Neural Mechanisms (15 papers). Behrad Noudoost is often cited by papers focused on Neural dynamics and brain function (38 papers), Visual perception and processing mechanisms (25 papers) and Memory and Neural Mechanisms (15 papers). Behrad Noudoost collaborates with scholars based in United States, Iran and Bulgaria. Behrad Noudoost's co-authors include Tirin Moore, Kelsey Clark, Nicholas A. Steinmetz, Robert J. Schafer, Yaser Merrikhi, Marc Zirnsak, Alireza Soltani, Eddy Albarran, Hossein Esteky and Mohammad Reza Daliri and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Behrad Noudoost

45 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Behrad Noudoost United States 16 1.4k 394 145 115 95 46 1.6k
Jose L. Herrero United States 20 1.7k 1.2× 600 1.5× 171 1.2× 139 1.2× 131 1.4× 42 2.1k
Daniel Bush United Kingdom 21 1.4k 1.0× 778 2.0× 71 0.5× 91 0.8× 110 1.2× 48 1.7k
Justin M. Ales United States 18 1.4k 1.0× 245 0.6× 117 0.8× 163 1.4× 54 0.6× 35 1.6k
Julien Vezoli France 14 2.5k 1.8× 711 1.8× 120 0.8× 166 1.4× 110 1.2× 22 2.7k
Chris Tailby Australia 22 1.1k 0.8× 394 1.0× 319 2.2× 69 0.6× 82 0.9× 59 1.4k
Kenneth L. Grieve Spain 19 1.4k 1.0× 523 1.3× 205 1.4× 93 0.8× 55 0.6× 34 1.7k
Tobias Navarro Schröder Germany 13 840 0.6× 356 0.9× 67 0.5× 74 0.6× 81 0.9× 14 1.1k
Matthew Schmolesky United States 11 1.2k 0.9× 416 1.1× 221 1.5× 119 1.0× 139 1.5× 16 1.6k
Ilya E. Monosov United States 21 1.1k 0.8× 353 0.9× 113 0.8× 123 1.1× 73 0.8× 32 1.3k
Jian Ding United States 16 1.4k 1.0× 257 0.7× 153 1.1× 71 0.6× 23 0.2× 53 1.7k

Countries citing papers authored by Behrad Noudoost

Since Specialization
Citations

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

Fields of papers citing papers by Behrad Noudoost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Behrad Noudoost

This figure shows the co-authorship network connecting the top 25 collaborators of Behrad Noudoost. A scholar is included among the top collaborators of Behrad Noudoost 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 Behrad Noudoost. Behrad Noudoost 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.
Clark, Kelsey, et al.. (2024). Neural correlates of perisaccadic visual mislocalization in extrastriate cortex. Nature Communications. 15(1). 6335–6335. 1 indexed citations
2.
Clark, Kelsey, et al.. (2024). Information representation in an oscillating neural field model modulated by working memory signals. Frontiers in Computational Neuroscience. 17. 1253234–1253234.
3.
Clark, Kelsey, et al.. (2024). Working memory expedites the processing of visual signals within the extrastriate cortex. iScience. 27(8). 110489–110489. 1 indexed citations
4.
Jonikaitis, Donatas, Behrad Noudoost, & Tirin Moore. (2023). Dissociating the Contributions of Frontal Eye Field Activity to Spatial Working Memory and Motor Preparation. Journal of Neuroscience. 43(50). 8681–8689. 11 indexed citations
5.
Clark, Kelsey, et al.. (2022). Dependence of Working Memory on Coordinated Activity Across Brain Areas. Frontiers in Systems Neuroscience. 15. 787316–787316. 10 indexed citations
6.
Noudoost, Behrad, Kelsey Clark, & Tirin Moore. (2021). Working memory gates visual input to primate prefrontal neurons. eLife. 10. 13 indexed citations
7.
Clark, Kelsey, et al.. (2021). Frontotemporal coordination predicts working memory performance and its local neural signatures. Nature Communications. 12(1). 1103–1103. 22 indexed citations
8.
Clark, Kelsey, et al.. (2021). A sensory memory to preserve visual representations across eye movements. Nature Communications. 12(1). 6449–6449. 7 indexed citations
9.
Clark, Kelsey, et al.. (2019). Characterizing and dissociating multiple time-varying modulatory computations influencing neuronal activity. PLoS Computational Biology. 15(9). e1007275–e1007275. 9 indexed citations
10.
Esfandyarpour, Rahim, et al.. (2019). Microinjectrode System for Combined Drug Infusion and Electrophysiology. Journal of Visualized Experiments. 5 indexed citations
11.
Daliri, Mohammad Reza, et al.. (2018). Working Memory Enhances Cortical Representations via Spatially Specific Coordination of Spike Times. Neuron. 97(4). 967–979.e6. 35 indexed citations
12.
Clark, Kelsey, et al.. (2017). Developing a Nonstationary Computational Framework With Application to Modeling Dynamic Modulations in Neural Spiking Responses. IEEE Transactions on Biomedical Engineering. 65(2). 241–253. 9 indexed citations
13.
Merrikhi, Yaser, Kelsey Clark, Eddy Albarran, et al.. (2017). Spatial working memory alters the efficacy of input to visual cortex. Nature Communications. 8(1). 15041–15041. 85 indexed citations
14.
Clark, Kelsey, et al.. (2017). A Cage-Based Training System for Non-Human Primates. AIMS neuroscience. 4(3). 102–119. 5 indexed citations
15.
Clark, Kelsey, et al.. (2015). Visual attention: Linking prefrontal sources to neuronal and behavioral correlates. Progress in Neurobiology. 132. 59–80. 47 indexed citations
16.
Zirnsak, Marc, et al.. (2014). Visual space is compressed in prefrontal cortex before eye movements. Nature. 507(7493). 504–507. 150 indexed citations
17.
Clark, Kelsey, Behrad Noudoost, & Tirin Moore. (2012). Persistent Spatial Information in the Frontal Eye Field during Object-Based Short-Term Memory. Journal of Neuroscience. 32(32). 10907–10914. 27 indexed citations
18.
Zirnsak, Marc, Kaizun Xu, Behrad Noudoost, & Tirin Moore. (2011). Mapping of presaccadic receptive field profiles in the macaque frontal eye field. Journal of Vision. 11(11). 539–539. 3 indexed citations
19.
Noudoost, Behrad, et al.. (2010). Top-down control of visual attention. Current Opinion in Neurobiology. 20(2). 183–190. 248 indexed citations
20.
Noudoost, Behrad, et al.. (2005). Configural and analytical processing of familiar and unfamiliar objects. Cognitive Brain Research. 24(3). 436–441. 7 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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