Sheraz Khan

2.1k total citations
72 papers, 1.3k citations indexed

About

Sheraz Khan is a scholar working on Cognitive Neuroscience, Experimental and Cognitive Psychology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Sheraz Khan has authored 72 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Cognitive Neuroscience, 7 papers in Experimental and Cognitive Psychology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Sheraz Khan's work include Neural dynamics and brain function (24 papers), Functional Brain Connectivity Studies (22 papers) and EEG and Brain-Computer Interfaces (21 papers). Sheraz Khan is often cited by papers focused on Neural dynamics and brain function (24 papers), Functional Brain Connectivity Studies (22 papers) and EEG and Brain-Computer Interfaces (21 papers). Sheraz Khan collaborates with scholars based in United States, Pakistan and Canada. Sheraz Khan's co-authors include Matti Hämäläinen, Tal Kenet, Santosh Ganesan, Martha R. Herbert, Manfred G. Kitzbichler, Fahimeh Mamashli, Javeria A. Hashmi, Robert M. Joseph, Jyrki Ahveninen and Márk Vangel and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Neuroscience and SHILAP Revista de lepidopterología.

In The Last Decade

Sheraz Khan

64 papers receiving 1.3k citations

Peers

Sheraz Khan
Takefumi Ueno Japan
Dennis van ‘t Ent Netherlands
Raihaan Patel Canada
Mark DiFrancesco United States
Karen Blackmon United States
A.W. Toga United States
Carinna M. Torgerson United States
Florian Ph. S. Fischmeister Austria
David J. Schaeffer United States
Suhua Chang China
Takefumi Ueno Japan
Sheraz Khan
Citations per year, relative to Sheraz Khan Sheraz Khan (= 1×) peers Takefumi Ueno

Countries citing papers authored by Sheraz Khan

Since Specialization
Citations

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

Fields of papers citing papers by Sheraz Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sheraz Khan

This figure shows the co-authorship network connecting the top 25 collaborators of Sheraz Khan. A scholar is included among the top collaborators of Sheraz Khan 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 Sheraz Khan. Sheraz Khan 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.
Tan, Jasmine, Seppo P. Ahlfors, Steven Graham, et al.. (2025). Lower Cortical Activation and Altered Functional Connectivity Characterize Passive Auditory Spatial Attention in ASD. Autism Research. 18(11). 2240–2253.
2.
Schneiderman, Justin F., Sebastian Lundström, Bushra Riaz, et al.. (2024). Differential late-stage face processing in autism: a magnetoencephalographic study of fusiform gyrus activation. BMC Psychiatry. 24(1). 900–900.
3.
Karahanoğlu, F. Işık, Charmaine Demanuele, Sheraz Khan, et al.. (2023). SciKit digital health package for accelerometry-measured physical activity: comparisons to existing solutions and investigations of age effects in healthy adults. Frontiers in Digital Health. 5. 1321086–1321086.
4.
Khan, Sheraz, et al.. (2023). Ethical Awareness among Undergraduate Nursing Students of Khyber Pukhtankhwa. 17(3). 22–24. 1 indexed citations
5.
Wang, Lin, Trevor Brothers, Minjae Kim, et al.. (2022). Predictive coding across the left fronto-temporal hierarchy during language comprehension. Cerebral Cortex. 33(8). 4478–4497. 20 indexed citations
6.
Bharadwaj, Hari, Fahimeh Mamashli, Sheraz Khan, et al.. (2022). Cortical signatures of auditory object binding in children with autism spectrum disorder are anomalous in concordance with behavior and diagnosis. PLoS Biology. 20(2). e3001541–e3001541. 6 indexed citations
7.
Ahlfors, Seppo P., Steven Graham, Jussi Alho, et al.. (2022). Magnetoencephalography and electroencephalography can both detect differences in cortical responses to vibrotactile stimuli in individuals on the autism spectrum. Frontiers in Psychiatry. 13. 902332–902332. 1 indexed citations
8.
Hanif, Muhammad Farhan, et al.. (2021). COVID-19-induced Guillain-Barre Syndrome: A Rare Complication of SARS-CoV-2 Infection. Journal of College of Physicians And Surgeons Pakistan. 31(2). S123–S124. 3 indexed citations
9.
Alho, Jussi, Hari Bharadwaj, Sheraz Khan, et al.. (2021). Altered maturation and atypical cortical processing of spoken sentences in autism spectrum disorder. Progress in Neurobiology. 203. 102077–102077. 6 indexed citations
10.
Khan, Sheraz, et al.. (2021). Individual Magnetoencephalography Response Profiles to Short-Duration L-Dopa in Parkinson’s Disease. Frontiers in Human Neuroscience. 15. 640591–640591. 1 indexed citations
11.
Nunes, Adonay S., Fahimeh Mamashli, Nataliia Kozhemiako, et al.. (2020). Classification of evoked responses to inverted faces reveals both spatial and temporal cortical response abnormalities in Autism spectrum disorder. NeuroImage Clinical. 29. 102501–102501. 2 indexed citations
12.
Mamashli, Fahimeh, Samantha Huang, Sheraz Khan, et al.. (2020). Distinct Regional Oscillatory Connectivity Patterns During Auditory Target and Novelty Processing. Brain Topography. 33(4). 477–488. 3 indexed citations
13.
Ciesielski, Kristina T., Adele Diamond, Sheraz Khan, et al.. (2019). Maturational Changes in Human Dorsal and Ventral Visual Networks. Cerebral Cortex. 29(12). 5131–5149. 14 indexed citations
14.
Zia, Ahmed, et al.. (2019). Damselflies (Odonata: Zygoptera) fauna of district Swabi Khyber Pakhtunkhwa, Pakistan. Journal of Entomology and Zoology Studies. 7(2). 190–193. 5 indexed citations
15.
Khan, Sheraz, et al.. (2019). Cortical Signal Suppression (CSS) for Detection of Subcortical Activity Using MEG and EEG. Brain Topography. 32(2). 215–228. 12 indexed citations
16.
Mamashli, Fahimeh, et al.. (2018). Maturational trajectories of local and long‐range functional connectivity in autism during face processing. Human Brain Mapping. 39(10). 4094–4104. 33 indexed citations
17.
Mamashli, Fahimeh, Sheraz Khan, Jonas Obleser, Angela D. Friederici, & Burkhard Maeß. (2018). Oscillatory dynamics of cortical functional connections in semantic prediction. Human Brain Mapping. 40(6). 1856–1866. 16 indexed citations
18.
Krishnaswamy, Pavitra, Jyrki Ahveninen, Sheraz Khan, et al.. (2017). Sparsity enables estimation of both subcortical and cortical activity from MEG and EEG. Proceedings of the National Academy of Sciences. 114(48). E10465–E10474. 103 indexed citations
19.
Hashmi, Javeria A., Jian Kong, Rosa Spaeth, et al.. (2014). Functional Network Architecture Predicts Psychologically Mediated Analgesia Related to Treatment in Chronic Knee Pain Patients. Journal of Neuroscience. 34(11). 3924–3936. 63 indexed citations
20.
Lefèvre, Julien, F. Leroy, Sheraz Khan, et al.. (2009). Identification of Growth Seeds in the Neonate Brain through Surfacic Helmholtz Decomposition. Lecture notes in computer science. 21. 252–263. 21 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Takefumi Ueno Breakdown of academic impact, for papers by Dennis van ‘t Ent Breakdown of academic impact, for papers by Raihaan Patel Breakdown of academic impact, for papers by Mark DiFrancesco Breakdown of academic impact, for papers by Karen Blackmon Breakdown of academic impact, for papers by A.W. Toga Breakdown of academic impact, for papers by Carinna M. Torgerson Breakdown of academic impact, for papers by Florian Ph. S. Fischmeister Breakdown of academic impact, for papers by David J. Schaeffer Breakdown of academic impact, for papers by Suhua Chang
Rankless by CCL
2026