Allison C. Waters

1.2k total citations
35 papers, 564 citations indexed

About

Allison C. Waters is a scholar working on Cognitive Neuroscience, Neurology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Allison C. Waters has authored 35 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Cognitive Neuroscience, 19 papers in Neurology and 8 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Allison C. Waters's work include Neurological disorders and treatments (19 papers), Functional Brain Connectivity Studies (16 papers) and EEG and Brain-Computer Interfaces (7 papers). Allison C. Waters is often cited by papers focused on Neurological disorders and treatments (19 papers), Functional Brain Connectivity Studies (16 papers) and EEG and Brain-Computer Interfaces (7 papers). Allison C. Waters collaborates with scholars based in United States, Canada and United Kingdom. Allison C. Waters's co-authors include Helen S. Mayberg, Robert P. J. Barretto, Juergen C. Jung, Yaniv Ziv, Tony H. Ko, Alessio Attardo, Lawrence D. Recht, Mark J. Schnitzer, Patricio Riva‐Posse and Ki Sueng Choi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Medicine.

In The Last Decade

Allison C. Waters

31 papers receiving 557 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Allison C. Waters United States 12 208 153 151 96 88 35 564
Sabine J. Regel Switzerland 8 225 1.1× 112 0.7× 73 0.5× 37 0.4× 24 0.3× 12 678
Karyn Richardson Australia 11 304 1.5× 56 0.4× 96 0.6× 85 0.9× 79 0.9× 26 519
Eiran Vadim Harel Israel 13 418 2.0× 142 0.9× 42 0.3× 577 6.0× 126 1.4× 22 809
Glenn D. R. Watson United States 17 493 2.4× 92 0.6× 409 2.7× 50 0.5× 17 0.2× 25 732
Stephanie Grehl Australia 5 124 0.6× 26 0.2× 90 0.6× 132 1.4× 17 0.2× 6 312
Ali Mohebi United States 10 291 1.4× 45 0.3× 480 3.2× 17 0.2× 21 0.2× 23 792
Wooyoung Kang South Korea 15 159 0.8× 13 0.1× 48 0.3× 26 0.3× 48 0.5× 29 534
Jonathan Kaiser United States 7 572 2.8× 45 0.3× 110 0.7× 32 0.3× 54 0.6× 8 828
Allison M. Ahrens United States 17 202 1.0× 56 0.4× 335 2.2× 8 0.1× 47 0.5× 28 937
Alex Korb United States 5 218 1.0× 34 0.2× 124 0.8× 77 0.8× 36 0.4× 7 649

Countries citing papers authored by Allison C. Waters

Since Specialization
Citations

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

Fields of papers citing papers by Allison C. Waters

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Allison C. Waters. 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 Allison C. Waters. The network helps show where Allison C. Waters may publish in the future.

Co-authorship network of co-authors of Allison C. Waters

This figure shows the co-authorship network connecting the top 25 collaborators of Allison C. Waters. A scholar is included among the top collaborators of Allison C. Waters 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 Allison C. Waters. Allison C. Waters 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.
Figee, Martijn, Brian H. Kopell, Jungho Cha, et al.. (2025). Electrophysiological Biomarkers Reflect Target Engagement and Response Using Deep Brain Stimulation for Obsessive-Compulsive Disorder. Biological Psychiatry Global Open Science. 6(1). 100609–100609.
2.
Momi, Davide, Sara Parmigiani, Ezequiel Mikulan, et al.. (2025). Stimulation mapping and whole-brain modeling reveal gradients of excitability and recurrence in cortical networks. Nature Communications. 16(1). 3222–3222. 5 indexed citations
3.
Maher, Christina M., Soyeon Jun, Daniel D. Cummins, et al.. (2025). Intracranial substrates of meditation-induced neuromodulation in the amygdala and hippocampus. Proceedings of the National Academy of Sciences. 122(6). e2409423122–e2409423122.
4.
Choi, Ki Sueng, T. A. Khoa Nguyen, Allison C. Waters, et al.. (2025). Deep brain stimulation for obsessive-compulsive disorder: evolution of tractography-based targeting. Journal of neurosurgery. 144(2). 293–304.
5.
Shusterman, Roman, et al.. (2025). An active inference strategy for prompting reliable responses from large language models in medical practice. npj Digital Medicine. 8(1). 119–119. 5 indexed citations
6.
Nichols, Noah, et al.. (2024). What is the cognitive footprint of insular glioma?. Frontiers in Human Neuroscience. 18. 1382380–1382380. 2 indexed citations
7.
Seas, Andreas, Ki Sueng Choi, Ashan Veerakumar, et al.. (2024). Subcallosal cingulate deep brain stimulation evokes two distinct cortical responses via differential white matter activation. Proceedings of the National Academy of Sciences. 121(14). e2314918121–e2314918121. 2 indexed citations
8.
Rheede, Joram J. van, Sankaraleengam Alagapan, Timothy Denison, et al.. (2024). Cortical signatures of sleep are altered following effective deep brain stimulation for depression. Translational Psychiatry. 14(1). 103–103. 4 indexed citations
9.
Pitts, Samantha I., Sara Scherrer, Tanya Nauvel, et al.. (2024). Neural Interoceptive Processing Is Modulated by Deep Brain Stimulation to Subcallosal Cingulate Cortex for Treatment-Resistant Depression. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 10(5). 495–503. 1 indexed citations
10.
Castagna, Peter J., et al.. (2023). Catch the drift: Depressive symptoms track neural response during more efficient decision-making for negative self-referents. Journal of Affective Disorders Reports. 13. 100593–100593. 2 indexed citations
11.
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
12.
Castagna, Peter J., Allison C. Waters, & Michael J. Crowley. (2022). Computational Modeling of Self-Referential Processing Reveals Domain General Associations with Adolescent Anxiety Symptoms. Research on Child and Adolescent Psychopathology. 51(4). 455–468. 4 indexed citations
13.
Bijanki, Kelly R., Joseph R. Manns, Cory S. Inman, et al.. (2018). Cingulum stimulation enhances positive affect and anxiolysis to facilitate awake craniotomy. Journal of Clinical Investigation. 129(3). 1152–1166. 26 indexed citations
14.
Riva‐Posse, Patricio, Vineet Tiruvadi, Justin Rajendra, et al.. (2018). Initial Unilateral Exposure to Deep Brain Stimulation in Treatment-Resistant Depression Patients Alters Spectral Power in the Subcallosal Cingulate. Frontiers in Computational Neuroscience. 12. 43–43. 27 indexed citations
15.
Waters, Allison C. & Helen S. Mayberg. (2017). Brain-Based Biomarkers for the Treatment of Depression: Evolution of an Idea. Journal of the International Neuropsychological Society. 23(9-10). 870–880. 9 indexed citations
16.
Jiang, Zhongqing, et al.. (2017). Event-related theta oscillatory substrates for facilitation and interference effects of negative emotion on children's cognition. International Journal of Psychophysiology. 116. 26–31. 12 indexed citations
17.
Stice, Eric, Sonja Yokum, & Allison C. Waters. (2015). Dissonance-Based Eating Disorder Prevention Program Reduces Reward Region Response to Thin Models; How Actions Shape Valuation. PLoS ONE. 10(12). e0144530–e0144530. 34 indexed citations
18.
Breitborde, Nicholas J. K., Emily Bell, David Dawley, et al.. (2015). The Early Psychosis Intervention Center (EPICENTER): development and six-month outcomes of an American first-episode psychosis clinical service. BMC Psychiatry. 15(1). 266–266. 57 indexed citations
19.
Barretto, Robert P. J., Tony H. Ko, Juergen C. Jung, et al.. (2011). Time-lapse imaging of disease progression in deep brain areas using fluorescence microendoscopy. Nature Medicine. 17(2). 223–228. 185 indexed citations
20.
Tucker, Don M., Allison C. Waters, & Mark Holmes. (2009). Transition from cortical slow oscillations of sleep to spike-wave seizures. Clinical Neurophysiology. 120(12). 2055–2062. 11 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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