Raissa Mathura

601 total citations
12 papers, 157 citations indexed

About

Raissa Mathura is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Raissa Mathura has authored 12 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Cognitive Neuroscience, 5 papers in Neurology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Raissa Mathura's work include Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Raissa Mathura is often cited by papers focused on Functional Brain Connectivity Studies (8 papers), Neural dynamics and brain function (6 papers) and EEG and Brain-Computer Interfaces (6 papers). Raissa Mathura collaborates with scholars based in United States, Netherlands and Israel. Raissa Mathura's co-authors include Kelly R. Bijanki, Sameer A. Sheth, Brian Metzger, Joshua A. Adkinson, John Myers, Wayne K. Goodman, Nader Pouratian, David A. Borton, Anusha Allawala and Denise Oswalt and has published in prestigious journals such as Brain, Scientific Reports and Biological Psychiatry.

In The Last Decade

Raissa Mathura

11 papers receiving 157 citations

Peers

Raissa Mathura
Joshua A. Adkinson United States
John Myers United States
Nicole R. Provenza United States
Anusha Allawala United States
Jordy Tasserie United States
Vineet Tiruvadi United States
Alexandra Hopkins United Kingdom
Joshua A. Adkinson United States
Raissa Mathura
Citations per year, relative to Raissa Mathura Raissa Mathura (= 1×) peers Joshua A. Adkinson

Countries citing papers authored by Raissa Mathura

Since Specialization
Citations

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

Fields of papers citing papers by Raissa Mathura

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raissa Mathura

This figure shows the co-authorship network connecting the top 25 collaborators of Raissa Mathura. A scholar is included among the top collaborators of Raissa Mathura 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 Raissa Mathura. Raissa Mathura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Allawala, Anusha, Kelly R. Bijanki, Joshua A. Adkinson, et al.. (2024). Stereo-Electroencephalography–Guided Network Neuromodulation for Psychiatric Disorders: The Neurophysiology Monitoring Unit. Operative Neurosurgery. 27(3). 329–336.
2.
Allawala, Anusha, Kelly R. Bijanki, Raissa Mathura, et al.. (2024). Prefrontal network engagement by deep brain stimulation in limbic hubs. Frontiers in Human Neuroscience. 17. 1291315–1291315. 2 indexed citations
3.
Metzger, Brian, Raissa Mathura, Carl D. Hacker, et al.. (2024). Brain mechanisms underlying the emotion processing bias in treatment-resistant depression. Nature Mental Health. 2(5). 583–592. 8 indexed citations
4.
Bartoli, Eleonora, John F. Magnotti, Jan Willem de Gee, et al.. (2024). Aperiodic spectral slope tracks the effects of brain state on saliency responses in the human auditory cortex. Scientific Reports. 14(1). 30751–30751. 3 indexed citations
5.
Bartoli, Eleonora, Raissa Mathura, Adrish Anand, et al.. (2024). Default mode network electrophysiological dynamics and causal role in creative thinking. Brain. 147(10). 3409–3425. 13 indexed citations
6.
Metzger, Brian, Joshua A. Adkinson, Raissa Mathura, et al.. (2023). Intracranial stimulation and EEG feature analysis reveal affective salience network specialization. Brain. 146(10). 4366–4377. 8 indexed citations
7.
Allawala, Anusha, Raissa Mathura, Harrison Ritz, et al.. (2023). 208 DBS-Induced Improvement in Cognitive Control is Mediated by Theta Oscillations in Human Intracranial Recordings. Neurosurgery. 69(Supplement_1). 36–36. 2 indexed citations
8.
Provenza, Nicole R., Ayan S. Waite, Raissa Mathura, et al.. (2022). Artifact characterization and mitigation techniques during concurrent sensing and stimulation using bidirectional deep brain stimulation platforms. Frontiers in Human Neuroscience. 16. 1016379–1016379. 3 indexed citations
9.
Adkinson, Joshua A., Evangelia Tsolaki, Sameer A. Sheth, et al.. (2022). Imaging versus electrographic connectivity in human mood-related fronto-temporal networks. Brain stimulation. 15(3). 554–565. 17 indexed citations
10.
Metzger, Brian D., Raissa Mathura, Anusha Allawala, et al.. (2022). 334 Phase Synchrony within the Right Prefrontal Cortex Predicts Severity of Major Depression. Neurosurgery. 68(Supplement_1). 76–77. 1 indexed citations
11.
Das, Anup, John Myers, Raissa Mathura, et al.. (2022). Spontaneous neuronal oscillations in the human insula are hierarchically organized traveling waves. eLife. 11. 23 indexed citations
12.
Sheth, Sameer A., Kelly R. Bijanki, Brian Metzger, et al.. (2021). Deep Brain Stimulation for Depression Informed by Intracranial Recordings. Biological Psychiatry. 92(3). 246–251. 77 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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