Tahra L. Eissa

505 total citations
11 papers, 298 citations indexed

About

Tahra L. Eissa is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Computer Networks and Communications. According to data from OpenAlex, Tahra L. Eissa has authored 11 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Cognitive Neuroscience, 6 papers in Cellular and Molecular Neuroscience and 1 paper in Computer Networks and Communications. Recurrent topics in Tahra L. Eissa's work include Neural dynamics and brain function (9 papers), Neuroscience and Neural Engineering (5 papers) and EEG and Brain-Computer Interfaces (3 papers). Tahra L. Eissa is often cited by papers focused on Neural dynamics and brain function (9 papers), Neuroscience and Neural Engineering (5 papers) and EEG and Brain-Computer Interfaces (3 papers). Tahra L. Eissa collaborates with scholars based in United States, Netherlands and United Kingdom. Tahra L. Eissa's co-authors include Catherine A. Schevon, Guy M. McKhann, Ronald G. Emerson, Wim van Drongelen, Robert Goodman, Masahiko Watanabe, Kouichi Hashimoto, Adriana Cherskov, Hisako Nakayama and Taisuke Miyazaki and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Neurophysiology.

In The Last Decade

Tahra L. Eissa

11 papers receiving 296 citations

Peers

Tahra L. Eissa

CMN

GENET

NEURO

Sattar Khoshkhoo United States

Alex Loebel Germany

Lucija Rapan Germany

Michelle Antoine United States

Enrico Ferrea Italy

Maya Odagawa Japan

Hysell V. Oviedo United States

Elisabeth Abs Netherlands

Heather A. Sullivan United States

Noemi Barsotti Italy

Sattar Khoshkhoo United States

Tahra L. Eissa

252 ×1.2

292 ×2.2

CMN

56 ×0.9

GENET

111 ×1.9

19 ×0.6

NEURO

Citations per year, relative to Tahra L. Eissa Tahra L. Eissa (= 1×) peers Sattar Khoshkhoo

Countries citing papers authored by Tahra L. Eissa

Since Specialization

Citations

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

Fields of papers citing papers by Tahra L. Eissa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tahra L. Eissa. 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 Tahra L. Eissa. The network helps show where Tahra L. Eissa may publish in the future.

Co-authorship network of co-authors of Tahra L. Eissa

This figure shows the co-authorship network connecting the top 25 collaborators of Tahra L. Eissa. A scholar is included among the top collaborators of Tahra L. Eissa 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 Tahra L. Eissa. Tahra L. Eissa 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

Eissa, Tahra L. & Zachary P. Kilpatrick. (2023). Learning efficient representations of environmental priors in working memory. PLoS Computational Biology. 19(11). e1011622–e1011622. 5 indexed citations

Eissa, Tahra L., Joshua I. Gold, Krešimir Josić́, & Zachary P. Kilpatrick. (2022). Suboptimal human inference can invert the bias-variance trade-off for decisions with asymmetric evidence. PLoS Computational Biology. 18(7). e1010323–e1010323. 2 indexed citations

Eissa, Tahra L., et al.. (2022). Distinct Excitatory and Inhibitory Bump Wandering in a Stochastic Neural Field. SIAM Journal on Applied Dynamical Systems. 21(4). 2579–2609. 7 indexed citations

Schevon, Catherine A., Steven Tobochnik, Tahra L. Eissa, et al.. (2019). Multiscale recordings reveal the dynamic spatial structure of human seizures. Neurobiology of Disease. 127. 303–311. 37 indexed citations

Gill, Brian, Xiaoping Wu, Alexander A. Sosunov, et al.. (2019). Ex vivo multi-electrode analysis reveals spatiotemporal dynamics of ictal behavior at the infiltrated margin of glioma. Neurobiology of Disease. 134. 104676–104676. 11 indexed citations

Tryba, Andrew K., Edward M. Merricks, Somin Lee, et al.. (2019). Role of paroxysmal depolarization in focal seizure activity. Journal of Neurophysiology. 122(5). 1861–1873. 14 indexed citations

Eissa, Tahra L., Catherine A. Schevon, Ronald G. Emerson, et al.. (2018). The Relationship Between Ictal Multi-Unit Activity and the Electrocorticogram. International Journal of Neural Systems. 28(10). 1850027–1850027. 5 indexed citations

Eissa, Tahra L., Christoph Brüne, Ronald G. Emerson, et al.. (2017). Cross-scale effects of neural interactions during human neocortical seizure activity. Proceedings of the National Academy of Sciences. 114(40). 10761–10766. 31 indexed citations

Eissa, Tahra L., Andrew K. Tryba, Charles J. Marcuccilli, et al.. (2016). Multiscale Aspects of Generation of High-Gamma Activity during Seizures in Human Neocortex. eNeuro. 3(2). ENEURO.0141–15.2016. 21 indexed citations

10.

Meijer, Hil G. E., Tahra L. Eissa, Catherine A. Schevon, et al.. (2015). Modeling Focal Epileptic Activity in the Wilson–Cowan Model with Depolarization Block. PubMed. 5(1). 7–7. 36 indexed citations

11.

Piochon, Claire, Alexander D. Kloth, Giorgio Grasselli, et al.. (2014). Cerebellar plasticity and motor learning deficits in a copy-number variation mouse model of autism. Nature Communications. 5(1). 5586–5586. 129 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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