Joshua A. Adkinson

477 total citations
22 papers, 181 citations indexed

About

Joshua A. Adkinson is a scholar working on Cognitive Neuroscience, Neurology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Joshua A. Adkinson has authored 22 papers receiving a total of 181 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cognitive Neuroscience, 8 papers in Neurology and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Joshua A. Adkinson's work include Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (9 papers) and Functional Brain Connectivity Studies (9 papers). Joshua A. Adkinson is often cited by papers focused on Neural dynamics and brain function (9 papers), EEG and Brain-Computer Interfaces (9 papers) and Functional Brain Connectivity Studies (9 papers). Joshua A. Adkinson collaborates with scholars based in United States and Israel. Joshua A. Adkinson's co-authors include Kelly R. Bijanki, Sameer A. Sheth, Raissa Mathura, Nader Pouratian, Ioannis Vlachos, Cameron C. McIntyre, Leonidas Iasemidis, Brian Metzger, Denise Oswalt and Wayne K. Goodman and has published in prestigious journals such as Brain, Biological Psychiatry and Neurosurgery.

In The Last Decade

Joshua A. Adkinson

18 papers receiving 179 citations

Peers

Joshua A. Adkinson
Martin Lamoš Czechia
Joan Duprez France
Britni Crocker United States
Marija Stevanović Karić United States
Nicole R. Provenza United States
Julian Q. Kosciessa Germany
Taira Uehara Japan
Raissa Mathura United States
Mihai Dragoş Mălîia Romania
Anusha Allawala United States
Martin Lamoš Czechia
Joshua A. Adkinson
Citations per year, relative to Joshua A. Adkinson Joshua A. Adkinson (= 1×) peers Martin Lamoš

Countries citing papers authored by Joshua A. Adkinson

Since Specialization
Citations

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

Fields of papers citing papers by Joshua A. Adkinson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua A. Adkinson. 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 Joshua A. Adkinson. The network helps show where Joshua A. Adkinson may publish in the future.

Co-authorship network of co-authors of Joshua A. Adkinson

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua A. Adkinson. A scholar is included among the top collaborators of Joshua A. Adkinson 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 Joshua A. Adkinson. Joshua A. Adkinson 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.
Huang, Harvey, Joshua A. Adkinson, Kelly R. Bijanki, et al.. (2025). Proper reference selection and re-referencing to mitigate bias in single pulse electrical stimulation data. Journal of Neuroscience Methods. 419. 110461–110461.
2.
Kabotyanski, Katherine E., Han‐Gyol Yi, Brian Robinson, et al.. (2025). 1161 Identifying Ethologically Relevant Neurobehavioral Biomarkers of Emotional State. Neurosurgery. 71(Supplement_1). 183–184.
3.
Adkinson, Joshua A., Meghan E. Robinson, Lu Lin, et al.. (2025). Asymmetric Cingulum Bundle Connectivity Is Modulated by Paracingulate Sulcus Morphology. Human Brain Mapping. 46(9). e70230–e70230. 1 indexed citations
4.
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.
5.
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
6.
Adkinson, Joshua A., Garrett P. Banks, Sameer A. Sheth, et al.. (2024). A biophysically constrained brain connectivity model based on stimulation-evoked potentials.. Journal of Neuroscience Methods. 405. 110106–110106. 2 indexed citations
7.
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
8.
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
9.
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
10.
Bijanki, Kelly R., Brian Metzger, Joshua A. Adkinson, et al.. (2023). Intracranial electrophysiology helps define pathological networks and optimize stimulation approaches in deep brain stimulation for treatment-resistant depression. Brain stimulation. 16(1). 132–132. 1 indexed citations
11.
Malekmohammadi, Mahsa, Sameer A. Sheth, Nader Pouratian, et al.. (2022). Automated optimization of deep brain stimulation parameters for modulating neuroimaging-based targets. Journal of Neural Engineering. 19(4). 46014–46014. 13 indexed citations
12.
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
13.
Bijanki, Kelly R., Brian Metzger, Joshua A. Adkinson, et al.. (2022). Stereotactic EEG Helps Define Networks and Optimize Stimulation Parameter Selection in DBS for Treatment-Resistant Depression (TRD).. Biological Psychiatry. 91(9). S43–S43.
14.
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
15.
Powell, Marc, Juan Ansó, Ro’ee Gilron, et al.. (2020). NeuroDAC: an open-source arbitrary biosignal waveform generator. Journal of Neural Engineering. 18(1). 16010–16010. 2 indexed citations
16.
Adkinson, Joshua A., et al.. (2018). Multivariate Matching Pursuit Decomposition and Normalized Gabor Entropy for Quantification of Preictal Trends in Epilepsy. Entropy. 20(6). 419–419. 5 indexed citations
17.
Adkinson, Joshua A., et al.. (2018). Connectivity and Centrality Characteristics of the Epileptogenic Focus Using Directed Network Analysis. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 27(1). 22–30. 18 indexed citations
18.
Vlachos, Ioannis, et al.. (2016). Classification of Pre-ictal and Interictal Periods Based on EEG Frequency Features in Epilepsy. 25. 9–10. 3 indexed citations
19.
Liu, Rui, et al.. (2016). Normalized Gabor Entropy Analysis of iEEG for Prediction of Epileptic Seizures. 15–16. 3 indexed citations
20.

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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