Moataz Assem

1.3k total citations
24 papers, 626 citations indexed

About

Moataz Assem is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Moataz Assem has authored 24 papers receiving a total of 626 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 6 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Genetics. Recurrent topics in Moataz Assem's work include Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (11 papers) and EEG and Brain-Computer Interfaces (5 papers). Moataz Assem is often cited by papers focused on Functional Brain Connectivity Studies (14 papers), Neural dynamics and brain function (11 papers) and EEG and Brain-Computer Interfaces (5 papers). Moataz Assem collaborates with scholars based in United Kingdom, United States and Israel. Moataz Assem's co-authors include John Duncan, Matthew F. Glasser, David C. Van Essen, A.T. Schreiber, Sneha Shashidhara, Adil Deniz Duru, Véronique Malaisé, Aldo Gangemi, Evelina Fedorenko and Idan Blank and has published in prestigious journals such as Trends in Cognitive Sciences, Cerebral Cortex and Neuropsychologia.

In The Last Decade

Moataz Assem

23 papers receiving 598 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moataz Assem United Kingdom 12 405 144 80 64 59 24 626
Daniela Schmidt Germany 10 471 1.2× 70 0.5× 56 0.7× 102 1.6× 73 1.2× 27 642
Xiaoyi Sun China 14 121 0.3× 82 0.6× 71 0.9× 36 0.6× 60 1.0× 27 466
Donald Kalar United States 7 378 0.9× 99 0.7× 53 0.7× 32 0.5× 99 1.7× 9 564
Charles Zheng United States 13 208 0.5× 38 0.3× 48 0.6× 20 0.3× 79 1.3× 28 631
Linda Lanyon United Kingdom 13 223 0.6× 29 0.2× 36 0.5× 28 0.4× 36 0.6× 24 480
Lingyun Gao China 11 180 0.4× 90 0.6× 37 0.5× 31 0.5× 134 2.3× 22 530
Jessica D. Bayliss United States 16 536 1.3× 52 0.4× 25 0.3× 197 3.1× 40 0.7× 33 941
Filipe Cristino United Kingdom 11 272 0.7× 37 0.3× 35 0.4× 77 1.2× 76 1.3× 19 512
Xiaobin Zhang China 10 203 0.5× 34 0.2× 45 0.6× 25 0.4× 26 0.4× 29 351

Countries citing papers authored by Moataz Assem

Since Specialization
Citations

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

Fields of papers citing papers by Moataz Assem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moataz Assem

This figure shows the co-authorship network connecting the top 25 collaborators of Moataz Assem. A scholar is included among the top collaborators of Moataz Assem 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 Moataz Assem. Moataz Assem 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.
Assem, Moataz, Sneha Shashidhara, Matthew F. Glasser, & John Duncan. (2025). Category-biased patches encircle core domain-general regions in the human lateral prefrontal cortex. Neuropsychologia. 214. 109164–109164.
2.
Assem, Moataz, Sneha Shashidhara, Matthew F. Glasser, & John Duncan. (2024). Basis of executive functions in fine-grained architecture of cortical and subcortical human brain networks. Cerebral Cortex. 34(2). 11 indexed citations
3.
Chaimow, Denis, Moataz Assem, John Duncan, et al.. (2024). Dynamic layer-specific processing in the prefrontal cortex during working memory. Communications Biology. 7(1). 1140–1140. 4 indexed citations
4.
Assem, Moataz, Rafael Romero-García, Pedro Coelho, et al.. (2024). Tumour-infiltrated cortex participates in large-scale cognitive circuits. Cortex. 173. 1–15. 8 indexed citations
5.
Shashidhara, Sneha, Moataz Assem, Matthew F. Glasser, & John Duncan. (2024). Task and stimulus coding in the multiple-demand network. Cerebral Cortex. 34(7). 5 indexed citations
6.
Assem, Moataz, et al.. (2023). Structural connectivity of the multiple demand network in humans and comparison to the macaque brain. Cerebral Cortex. 33(22). 10959–10971. 5 indexed citations
7.
Assem, Moataz, Michael G. Hart, Pedro Coelho, et al.. (2022). High gamma activity distinguishes frontal cognitive control regions from adjacent cortical networks. Cortex. 159. 286–298. 14 indexed citations
8.
Romero-García, Rafael, Moataz Assem, Pedro Coelho, et al.. (2022). Assessment of neuropsychological function in brain tumor treatment: a comparison of traditional neuropsychological assessment with app-based cognitive screening. Acta Neurochirurgica. 164(8). 2021–2034. 8 indexed citations
9.
Assem, Moataz, Sneha Shashidhara, Matthew F. Glasser, & John Duncan. (2021). Precise Topology of Adjacent Domain-General and Sensory-Biased Regions in the Human Brain. Cerebral Cortex. 32(12). 2521–2537. 31 indexed citations
10.
Romero-García, Rafael, Michael G. Hart, Richard A. I. Bethlehem, et al.. (2021). BOLD Coupling between Lesioned and Healthy Brain Is Associated with Glioma Patients’ Recovery. Cancers. 13(19). 5008–5008. 8 indexed citations
11.
Assem, Moataz, Matthew F. Glasser, David C. Van Essen, & John Duncan. (2020). A Domain-General Cognitive Core Defined in Multimodally Parcellated Human Cortex. Cerebral Cortex. 30(8). 4361–4380. 170 indexed citations
12.
Erez, Yaara, Moataz Assem, Pedro Coelho, et al.. (2020). Intraoperative mapping of executive function using electrocorticography for patients with low-grade gliomas. Acta Neurochirurgica. 163(5). 1299–1309. 16 indexed citations
13.
Assem, Moataz, Idan Blank, Zachary Mineroff, Ahmet Ademoğlu, & Evelina Fedorenko. (2020). Activity in the fronto-parietal multiple-demand network is robustly associated with individual differences in working memory and fluid intelligence. Cortex. 131. 1–16. 60 indexed citations
14.
Duncan, John, Moataz Assem, & Sneha Shashidhara. (2020). Integrated Intelligence from Distributed Brain Activity. Trends in Cognitive Sciences. 24(10). 838–852. 83 indexed citations
15.
Duru, Adil Deniz & Moataz Assem. (2017). Investigating neural efficiency of elite karate athletes during a mental arithmetic task using EEG. Cognitive Neurodynamics. 12(1). 95–102. 30 indexed citations
16.
Assem, Moataz, et al.. (2010). Converting and Annotating Quantitative Data Tables. Data Archiving and Networked Services (DANS). 1 indexed citations
17.
Ossenbruggen, Jacco van, Alia Amin, Michiel Hildebrand, et al.. (2007). Searching and Annotating Virtual Heritage Collections with Semantic-Web Techniques. VU Research Portal. 17 indexed citations
18.
Assem, Moataz, et al.. (2006). A Method to Convert Thesauri to SKOS. Lecture notes in computer science. 4011. 95–109. 54 indexed citations
19.
Assem, Moataz, et al.. (2006). Conversion of WordNet to a standard RDF/OWL representation. Language Resources and Evaluation. 1–6. 36 indexed citations
20.
Assem, Moataz, Aldo Gangemi, & A.T. Schreiber. (2006). RDF/OWL Representation of WordNet. VU Research Portal. 39 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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