Prejaas Tewarie

6.9k total citations · 2 hit papers
83 papers, 4.7k citations indexed

About

Prejaas Tewarie is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Pathology and Forensic Medicine. According to data from OpenAlex, Prejaas Tewarie has authored 83 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Cognitive Neuroscience, 26 papers in Radiology, Nuclear Medicine and Imaging and 25 papers in Pathology and Forensic Medicine. Recurrent topics in Prejaas Tewarie's work include Functional Brain Connectivity Studies (54 papers), Neural dynamics and brain function (39 papers) and Multiple Sclerosis Research Studies (25 papers). Prejaas Tewarie is often cited by papers focused on Functional Brain Connectivity Studies (54 papers), Neural dynamics and brain function (39 papers) and Multiple Sclerosis Research Studies (25 papers). Prejaas Tewarie collaborates with scholars based in Netherlands, United Kingdom and United States. Prejaas Tewarie's co-authors include Arjan Hillebrand, Cornelis J. Stam, Matthew J. Brookes, Edwin van Dellen, Lisanne J. Balk, Piet Van Mieghem, Frederik Barkhof, Mark W. Woolrich, Bernard M.J. Uitdehaag and Axel Petzold and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and NeuroImage.

In The Last Decade

Prejaas Tewarie

82 papers receiving 4.6k citations

Hit Papers

The OSCAR-IB Consensus Criteria for Retinal OCT Quality A... 2012 2026 2016 2021 2012 2016 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Prejaas Tewarie Netherlands 37 3.0k 1.1k 1.1k 497 445 83 4.7k
Mark Mühlau Germany 38 2.9k 1.0× 1.6k 1.4× 1.4k 1.2× 241 0.5× 815 1.8× 109 6.3k
Menno M. Schoonheim Netherlands 41 2.8k 1.0× 1.6k 1.4× 2.5k 2.2× 115 0.2× 853 1.9× 168 5.5k
Junqian Xu United States 29 5.6k 1.9× 4.5k 3.9× 604 0.5× 273 0.5× 553 1.2× 59 8.3k
Nancy L. Sicotte United States 37 1.6k 0.6× 1.2k 1.0× 1.4k 1.3× 54 0.1× 455 1.0× 78 5.4k
Larry A. Abel Australia 35 1.2k 0.4× 183 0.2× 637 0.6× 613 1.2× 446 1.0× 149 4.2k
Valentina Tomassini Italy 34 1.5k 0.5× 1.1k 1.0× 1.9k 1.7× 50 0.1× 873 2.0× 90 4.6k
Meritxell Bach Cuadra Switzerland 28 962 0.3× 1.4k 1.3× 389 0.3× 83 0.2× 432 1.0× 145 3.4k
Paul S. Morgan United Kingdom 49 2.1k 0.7× 2.8k 2.4× 1.4k 1.2× 53 0.1× 1.6k 3.5× 153 7.4k
Jean‐Philippe Ranjeva France 46 2.5k 0.9× 2.4k 2.1× 1.8k 1.6× 39 0.1× 860 1.9× 182 6.3k
Pierre‐Louis Bazin Germany 42 2.7k 0.9× 3.3k 2.9× 470 0.4× 46 0.1× 692 1.6× 171 6.1k

Countries citing papers authored by Prejaas Tewarie

Since Specialization
Citations

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

Fields of papers citing papers by Prejaas Tewarie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prejaas Tewarie

This figure shows the co-authorship network connecting the top 25 collaborators of Prejaas Tewarie. A scholar is included among the top collaborators of Prejaas Tewarie 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 Prejaas Tewarie. Prejaas Tewarie 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.
Arnts, Hisse, Prejaas Tewarie, Willemijn S. van Erp, et al.. (2024). Deep brain stimulation of the central thalamus restores arousal and motivation in a zolpidem-responsive patient with akinetic mutism after severe brain injury. Scientific Reports. 14(1). 2950–2950. 5 indexed citations
2.
Hindriks, Rikkert, Tommy A.A. Broeders, Menno M. Schoonheim, et al.. (2024). Higher‐order functional connectivity analysis of resting‐state functional magnetic resonance imaging data using multivariate cumulants. Human Brain Mapping. 45(5). e26663–e26663. 6 indexed citations
3.
Tewarie, Prejaas, Marleen C. Tjepkema‐Cloostermans, Romesh Abeysuriya, Jeannette Hofmeijer, & Michel J. A. M. van Putten. (2023). Preservation of thalamocortical circuitry is essential for good recovery after cardiac arrest. PNAS Nexus. 2(5). pgad119–pgad119.
4.
Tewarie, Prejaas, et al.. (2023). Non-reversibility outperforms functional connectivity in characterisation of brain states in MEG data. NeuroImage. 276. 120186–120186. 5 indexed citations
5.
Hindriks, Rikkert & Prejaas Tewarie. (2023). Dissociation between phase and power correlation networks in the human brain is driven by co-occurrent bursts. Communications Biology. 6(1). 286–286. 11 indexed citations
6.
Núñez, Pablo, Carlos Gómez, Víctor Rodríguez-González, et al.. (2022). Schizophrenia induces abnormal frequency-dependent patterns of dynamic brain network reconfiguration during an auditory oddball task. Journal of Neural Engineering. 19(1). 16033–16033. 9 indexed citations
7.
Arnts, Hisse, Prejaas Tewarie, Willemijn S. van Erp, et al.. (2022). Clinical and neurophysiological effects of central thalamic deep brain stimulation in the minimally conscious state after severe brain injury. Scientific Reports. 12(1). 12932–12932. 22 indexed citations
8.
Tewarie, Prejaas, et al.. (2021). On the Validity of Neural Mass Models. Frontiers in Computational Neuroscience. 14. 581040–581040. 10 indexed citations
9.
Nugent, Allison C., Elizabeth D. Ballard, Jessica R. Gilbert, et al.. (2020). Multilayer MEG functional connectivity as a potential marker for suicidal thoughts in major depressive disorder. NeuroImage Clinical. 28. 102378–102378. 25 indexed citations
10.
Tewarie, Prejaas, Bastian Prasse, J. Meier, et al.. (2020). Mapping functional brain networks from the structural connectome: Relating the series expansion and eigenmode approaches. NeuroImage. 216. 116805–116805. 35 indexed citations
11.
Liuzzi, Lucrezia, Andrew J. Quinn, George C. O’Neill, et al.. (2019). How Sensitive Are Conventional MEG Functional Connectivity Metrics With Sliding Windows to Detect Genuine Fluctuations in Dynamic Functional Connectivity?. Frontiers in Neuroscience. 13. 797–797. 20 indexed citations
12.
Douw, Linda, Edwin van Dellen, Alida A. Gouw, et al.. (2019). The road ahead in clinical network neuroscience. Network Neuroscience. 3(4). 969–993. 28 indexed citations
13.
Burggraaff, Jessica, Jonas F. Dorn, Marcus D’Souza, et al.. (2019). Video-Based Pairwise Comparison: Enabling the Development of Automated Rating of Motor Dysfunction in Multiple Sclerosis. Archives of Physical Medicine and Rehabilitation. 101(2). 234–241. 4 indexed citations
14.
Tewarie, Prejaas, Romesh Abeysuriya, Áine Byrne, et al.. (2018). How do spatially distinct frequency specific MEG networks emerge from one underlying structural connectome? The role of the structural eigenmodes. NeuroImage. 186. 211–220. 53 indexed citations
15.
Meier, J., Matthew J. Brookes, Reuben D. O’Dea, et al.. (2017). Comparing multilayer brain networks between groups: Introducing graph metrics and recommendations. NeuroImage. 166. 371–384. 42 indexed citations
16.
Meier, J., Prejaas Tewarie, Arjan Hillebrand, et al.. (2016). A Mapping Between Structural and Functional Brain Networks. Brain Connectivity. 6(4). 298–311. 106 indexed citations
17.
Meier, J., Prejaas Tewarie, & Piet Van Mieghem. (2015). The Union of Shortest Path Trees of Functional Brain Networks. Brain Connectivity. 5(9). 575–581. 17 indexed citations
18.
D’Souza, Marcus, Jessica Burggraaff, Peter Kontschieder, et al.. (2015). Automated quantification of motor dysfunction in multiple sclerosis using depth-sensing computer vision (P3.213). Neurology. 84(14_supplement). 2 indexed citations
19.
Daams, Marita, Florian Weiler, Martijn D. Steenwijk, et al.. (2014). Mean upper cervical cord area (MUCCA) measurement in long-standing multiple sclerosis: Relation to brain findings and clinical disability. Multiple Sclerosis Journal. 20(14). 1860–1865. 69 indexed citations
20.
Tewarie, Prejaas, Lisanne J. Balk, Fiona Costello, et al.. (2012). The OSCAR-IB Consensus Criteria for Retinal OCT Quality Assessment. PLoS ONE. 7(4). e34823–e34823. 430 indexed citations breakdown →

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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