Keith Jamison

2.8k total citations
44 papers, 1.1k citations indexed

About

Keith Jamison is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Keith Jamison has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cognitive Neuroscience, 17 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Epidemiology. Recurrent topics in Keith Jamison's work include Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Neural dynamics and brain function (13 papers). Keith Jamison is often cited by papers focused on Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (15 papers) and Neural dynamics and brain function (13 papers). Keith Jamison collaborates with scholars based in United States, United Kingdom and Canada. Keith Jamison's co-authors include Amy Kuceyeski, Mert R. Sabuncu, Stephen A. Engel, Sheng He, Bin He, Kâmil Uǧurbil, Kendrick Kay, Peng Zhang, Meenakshi Khosla and An T. Vu and has published in prestigious journals such as Nature Communications, Neuron and Journal of Neuroscience.

In The Last Decade

Keith Jamison

41 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Keith Jamison United States 18 913 385 98 96 77 44 1.1k
Tibor Auer United Kingdom 16 948 1.0× 366 1.0× 67 0.7× 107 1.1× 62 0.8× 51 1.3k
Jane Maryam Rondina United Kingdom 13 716 0.8× 333 0.9× 112 1.1× 104 1.1× 108 1.4× 22 1.2k
Aleksandar Maliković Serbia 16 1.1k 1.2× 396 1.0× 80 0.8× 126 1.3× 68 0.9× 27 1.5k
Jeong‐Won Jeong United States 21 695 0.8× 491 1.3× 119 1.2× 67 0.7× 28 0.4× 74 1.3k
Kristi A. Clark United States 18 586 0.6× 585 1.5× 58 0.6× 44 0.5× 48 0.6× 21 1.1k
Alessio Fracasso Netherlands 20 948 1.0× 360 0.9× 69 0.7× 121 1.3× 46 0.6× 65 1.3k
Irem Aselcioglu United States 7 483 0.5× 402 1.0× 49 0.5× 95 1.0× 40 0.5× 8 919
Oliver Lyttelton Canada 9 952 1.0× 517 1.3× 84 0.9× 115 1.2× 28 0.4× 13 1.4k
Amanda E. Lyall United States 20 651 0.7× 595 1.5× 83 0.8× 62 0.6× 101 1.3× 46 1.3k
Allison Stevens United States 15 598 0.7× 514 1.3× 161 1.6× 84 0.9× 74 1.0× 20 1.3k

Countries citing papers authored by Keith Jamison

Since Specialization
Citations

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

Fields of papers citing papers by Keith Jamison

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Keith Jamison

This figure shows the co-authorship network connecting the top 25 collaborators of Keith Jamison. A scholar is included among the top collaborators of Keith Jamison 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 Keith Jamison. Keith Jamison 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, Ke, et al.. (2026). The progression of sex differences in brain networks across the lifespan. bioRxiv (Cold Spring Harbor Laboratory).
2.
Arora, Jaya, Keith Jamison, Amy Kuceyeski, et al.. (2025). Depression Symptoms Associated With Clinical Symptoms, Disability, and Functional Connectivity After Traumatic Brain Injury. Journal of Neuropsychiatry. 38(1). 93–98.
3.
Jamison, Keith, et al.. (2025). Krakencoder: a unified brain connectome translation and fusion tool. Nature Methods. 22(7). 1583–1592. 2 indexed citations
4.
Luppi, Andrea I., S. Parker Singleton, Justine Y. Hansen, et al.. (2024). Contributions of network structure, chemoarchitecture and diagnostic categories to transitions between cognitive topographies. Nature Biomedical Engineering. 8(9). 1142–1161. 9 indexed citations
5.
Su, Chang, et al.. (2023). Graph‐matching distance between individuals' functional connectomes varies with relatedness, age, and cognitive score. Human Brain Mapping. 44(9). 3541–3554. 1 indexed citations
6.
Jamison, Keith, et al.. (2023). The sequence of regional structural disconnectivity due to multiple sclerosis lesions. Brain Communications. 5(6). fcad332–fcad332. 9 indexed citations
7.
Jamison, Keith, Abhishek Jaywant, Arindam RoyChoudhury, et al.. (2023). Comparisons of electrophysiological markers of impaired executive attention after traumatic brain injury and in healthy aging. NeuroImage. 274. 120126–120126. 3 indexed citations
8.
Jamison, Keith, et al.. (2023). Human brain responses are modulated when exposed to optimized natural images or synthetically generated images. Communications Biology. 6(1). 1076–1076. 5 indexed citations
9.
Jaywant, Abhishek, Keith Jamison, Nayoung Kim, et al.. (2023). Association Between the Attention Network Test, Neuropsychological Measures, and Disability in Post-Acute Traumatic Brain Injury. SHILAP Revista de lepidopterología. 4(1). 318–329. 1 indexed citations
11.
Jamison, Keith, et al.. (2022). Personalized visual encoding model construction with small data. Communications Biology. 5(1). 1382–1382. 9 indexed citations
12.
Kurzawski, Jan W., Ömer Faruk Gülban, Keith Jamison, Jonathan Winawer, & Kendrick Kay. (2022). Non-Neural Factors Influencing BOLD Response Magnitudes within Individual Subjects. Journal of Neuroscience. 42(38). 7256–7266. 12 indexed citations
13.
Jamison, Keith, Thanh D. Nguyen, Ulrike W. Kaunzner, et al.. (2021). Structural disconnectivity from paramagnetic rim lesions is related to disability in multiple sclerosis. Brain and Behavior. 11(10). e2353–e2353. 18 indexed citations
14.
Khosla, Meenakshi, Gia H. Ngo, Keith Jamison, Amy Kuceyeski, & Mert R. Sabuncu. (2021). Cortical response to naturalistic stimuli is largely predictable with deep neural networks. Science Advances. 7(22). 25 indexed citations
15.
Jamison, Keith, et al.. (2021). Estimated connectivity networks outperform observed connectivity networks when classifying people with multiple sclerosis into disability groups. NeuroImage Clinical. 32. 102827–102827. 8 indexed citations
16.
Jamison, Keith, Elizabeth Sweeney, Hesheng Liu, et al.. (2021). Functional connectome reorganization relates to post-stroke motor recovery and structural and functional disconnection. NeuroImage. 245. 118642–118642. 38 indexed citations
17.
Jamison, Keith, et al.. (2021). Dynamic Functional Connectivity Better Predicts Disability Than Structural and Static Functional Connectivity in People With Multiple Sclerosis. Frontiers in Neuroscience. 15. 763966–763966. 7 indexed citations
18.
Margalit, Eshed, Keith Jamison, Kevin S. Weiner, et al.. (2020). Ultra-high-resolution fMRI of Human Ventral Temporal Cortex Reveals Differential Representation of Categories and Domains. Journal of Neuroscience. 40(15). 3008–3024. 28 indexed citations
19.
Khosla, Meenakshi, Keith Jamison, Amy Kuceyeski, & Mert R. Sabuncu. (2019). Ensemble learning with 3D convolutional neural networks for functional connectome-based prediction. NeuroImage. 199. 651–662. 78 indexed citations
20.
Zhang, Peng, Keith Jamison, Stephen A. Engel, Bin He, & Sheng He. (2011). Binocular Rivalry Requires Visual Attention. Neuron. 71(2). 362–369. 163 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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