Leila Wehbe

1.5k total citations
28 papers, 566 citations indexed

About

Leila Wehbe is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Developmental and Educational Psychology. According to data from OpenAlex, Leila Wehbe has authored 28 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Cognitive Neuroscience, 8 papers in Artificial Intelligence and 5 papers in Developmental and Educational Psychology. Recurrent topics in Leila Wehbe's work include Neurobiology of Language and Bilingualism (8 papers), Neural dynamics and brain function (7 papers) and EEG and Brain-Computer Interfaces (6 papers). Leila Wehbe is often cited by papers focused on Neurobiology of Language and Bilingualism (8 papers), Neural dynamics and brain function (7 papers) and EEG and Brain-Computer Interfaces (6 papers). Leila Wehbe collaborates with scholars based in United States, Germany and United Kingdom. Leila Wehbe's co-authors include Tom M. Mitchell, Alona Fyshe, Brian Murphy, Partha Talukdar, Aaditya Ramdas, Gustavo Sudre, Mark Palatucci, Riitta Salmelin, Dean Pomerleau and Michael J. Tarr and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Leila Wehbe

28 papers receiving 549 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leila Wehbe United States 12 396 178 98 86 58 28 566
Ariel Goldstein United States 6 256 0.6× 77 0.4× 43 0.4× 68 0.8× 67 1.2× 8 429
Asieh Zadbood United States 6 632 1.6× 69 0.4× 102 1.0× 111 1.3× 96 1.7× 11 730
Cory Shain United States 13 287 0.7× 205 1.2× 170 1.7× 55 0.6× 50 0.9× 25 449
Fabien Mathy France 11 252 0.6× 118 0.7× 192 2.0× 46 0.5× 137 2.4× 47 521
Charlotte Caucheteux France 5 240 0.6× 131 0.7× 40 0.4× 43 0.5× 35 0.6× 6 365
William Schuler United States 19 399 1.0× 697 3.9× 239 2.4× 64 0.7× 60 1.0× 86 1.1k
Rosario Tomasello Germany 13 332 0.8× 55 0.3× 65 0.7× 174 2.0× 128 2.2× 27 475
Samuel Ritter United States 3 184 0.5× 98 0.6× 52 0.5× 58 0.7× 33 0.6× 5 270
Marten van Schijndel United States 12 283 0.7× 291 1.6× 146 1.5× 29 0.3× 53 0.9× 27 487
Ed Vul United States 9 312 0.8× 81 0.5× 38 0.4× 35 0.4× 54 0.9× 21 417

Countries citing papers authored by Leila Wehbe

Since Specialization
Citations

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

Fields of papers citing papers by Leila Wehbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leila Wehbe

This figure shows the co-authorship network connecting the top 25 collaborators of Leila Wehbe. A scholar is included among the top collaborators of Leila Wehbe 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 Leila Wehbe. Leila Wehbe 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.
Tarr, Michael J., et al.. (2025). Origins of food selectivity in human visual cortex. Trends in Neurosciences. 48(2). 113–123. 2 indexed citations
2.
Kay, Kendrick, et al.. (2024). Stacked regressions and structured variance partitioning for interpretable brain maps. NeuroImage. 298. 120772–120772. 4 indexed citations
3.
Khosla, Meenakshi & Leila Wehbe. (2024). Higher visual areas act like domain-general filters with strong selectivity and functional specialization. Journal of Vision. 24(10). 1474–1474. 1 indexed citations
4.
Prince, Jacob S., et al.. (2023). Selectivity for food in human ventral visual cortex. Communications Biology. 6(1). 175–175. 29 indexed citations
5.
Deniz, Fatma, et al.. (2023). Semantic Representations during Language Comprehension Are Affected by Context. Journal of Neuroscience. 43(17). 3144–3158. 17 indexed citations
6.
Tarr, Michael J., et al.. (2023). A Texture Statistics Encoding Model Reveals Hierarchical Feature Selectivity across Human Visual Cortex. Journal of Neuroscience. 43(22). 4144–4161. 2 indexed citations
7.
Kay, Kendrick, et al.. (2023). Better models of human high-level visual cortex emerge from natural language supervision with a large and diverse dataset. Nature Machine Intelligence. 5(12). 1415–1426. 31 indexed citations
8.
Jain, Shailee, Vy A. Vo, Leila Wehbe, & Alexander G. Huth. (2023). Computational Language Modeling and the Promise of In Silico Experimentation. SHILAP Revista de lepidopterología. 5(1). 80–106. 16 indexed citations
9.
10.
Tarr, Michael J., et al.. (2023). Low-level tuning biases in higher visual cortex reflect the semantic informativeness of visual features. Journal of Vision. 23(4). 8–8. 3 indexed citations
11.
Toneva, Mariya, Tom M. Mitchell, & Leila Wehbe. (2022). Combining computational controls with natural text reveals aspects of meaning composition. Nature Computational Science. 2(11). 745–757. 25 indexed citations
12.
Ramdas, Aaditya, et al.. (2022). Brainprints: identifying individuals from magnetoencephalograms. Communications Biology. 5(1). 852–852. 6 indexed citations
13.
Wehbe, Leila, Idan Blank, Cory Shain, et al.. (2021). Incremental Language Comprehension Difficulty Predicts Activity in the Language Network but Not the Multiple Demand Network. Cerebral Cortex. 31(9). 4006–4023. 39 indexed citations
14.
Toneva, Mariya, et al.. (2021). Single-Trial MEG Data Can Be Denoised Through Cross-Subject Predictive Modeling. Frontiers in Computational Neuroscience. 15. 737324–737324. 1 indexed citations
15.
Wehbe, Leila, Robert J. Sclabassi, Alexander Yu, et al.. (2020). A Deep Learning Model for Automated Classification of Intraoperative Continuous EMG. IEEE Transactions on Medical Robotics and Bionics. 3(1). 44–52. 20 indexed citations
16.
Wehbe, Leila, Aaditya Ramdas, Rebecca C. Steorts, & Cosma Rohilla Shalizi. (2015). Regularized brain reading with shrinkage and smoothing. The Annals of Applied Statistics. 9(4). 1997–2022. 8 indexed citations
17.
Wehbe, Leila. (2015). The Time and Location of Natural Reading Processes in the Brain. Research Showcase @ Carnegie Mellon University (Carnegie Mellon University). 2 indexed citations
18.
Ramdas, Aaditya & Leila Wehbe. (2014). Stein Shrinkage for Cross-Covariance Operators and Kernel Independence Testing. arXiv (Cornell University). 1 indexed citations
19.
Wehbe, Leila, Brian Murphy, Partha Talukdar, et al.. (2014). Simultaneously Uncovering the Patterns of Brain Regions Involved in Different Story Reading Subprocesses. PLoS ONE. 9(11). e112575–e112575. 160 indexed citations
20.
Sudre, Gustavo, Dean Pomerleau, Mark Palatucci, et al.. (2012). Tracking neural coding of perceptual and semantic features of concrete nouns. NeuroImage. 62(1). 451–463. 89 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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