David Semanek

582 total citations
14 papers, 392 citations indexed

About

David Semanek is a scholar working on Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging and Clinical Psychology. According to data from OpenAlex, David Semanek has authored 14 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Cognitive Neuroscience, 5 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Clinical Psychology. Recurrent topics in David Semanek's work include Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Advanced MRI Techniques and Applications (3 papers). David Semanek is often cited by papers focused on Functional Brain Connectivity Studies (6 papers), Advanced Neuroimaging Techniques and Applications (4 papers) and Advanced MRI Techniques and Applications (3 papers). David Semanek collaborates with scholars based in United States, Netherlands and South Korea. David Semanek's co-authors include Xuejun Hao, Bradley S. Peterson, Ravi Bansal, Frederica P. Perera, Rachel L. Miller, Virginia Rauh, Franchesca Arias, Jonathan Posner, Myrna M. Weissman and Ardesheer Talati and has published in prestigious journals such as Psychological Medicine, Neuropsychopharmacology and IEEE Transactions on Medical Imaging.

In The Last Decade

David Semanek

13 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Semanek United States 7 223 71 69 51 38 14 392
Raquel Fenoll Spain 9 351 1.6× 156 2.2× 72 1.0× 66 1.3× 27 0.7× 10 538
Yoko Kado Japan 9 145 0.7× 41 0.6× 57 0.8× 82 1.6× 42 1.1× 14 341
Devyn L. Cotter United States 11 99 0.4× 33 0.5× 15 0.2× 47 0.9× 32 0.8× 19 271
Travis Beckwith United States 10 95 0.4× 32 0.5× 18 0.3× 26 0.5× 19 0.5× 11 242
Douglas Weston United States 7 428 1.9× 124 1.7× 113 1.6× 17 0.3× 68 1.8× 8 522
Marni Y.V. Bekkedal United States 11 131 0.6× 10 0.1× 8 0.1× 119 2.3× 10 0.3× 18 390
Yifan Yao United States 9 93 0.4× 22 0.3× 17 0.2× 14 0.3× 8 0.2× 21 283
Martha Jokisch Germany 11 77 0.3× 77 1.1× 9 0.1× 75 1.5× 5 0.1× 34 395
Luis Oscar González‐González Mexico 7 364 1.6× 141 2.0× 92 1.3× 21 0.4× 18 0.5× 10 465
Elżbieta Gadzicka Poland 16 129 0.6× 147 2.1× 4 0.1× 53 1.0× 59 1.6× 47 610

Countries citing papers authored by David Semanek

Since Specialization
Citations

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

Fields of papers citing papers by David Semanek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Semanek

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

All Works

14 of 14 papers shown
1.
Muratore, Alexandra F., Karin Foerde, E. Caitlin Lloyd, et al.. (2024). Reduced dorsal fronto-striatal connectivity at rest in anorexia nervosa. Psychological Medicine. 54(9). 2200–2209. 3 indexed citations
2.
Dijk, Milenna T. van, Alexandria Tartt, Eleanor Murphy, et al.. (2024). Subcortical volumes in offspring with a multigenerational family history of depression – A study across two cohorts. Journal of Affective Disorders. 363. 192–197.
3.
He, Xinzi, Jia Guo, David Semanek, et al.. (2022). PTNet3D: A 3D High-Resolution Longitudinal Infant Brain MRI Synthesizer Based on Transformers. IEEE Transactions on Medical Imaging. 41(10). 2925–2940. 27 indexed citations
4.
Wang, Yun, et al.. (2022). Automated Multiclass Artifact Detection in Diffusion MRI Volumes via 3D Residual Squeeze-and-Excitation Convolutional Neural Networks. Frontiers in Human Neuroscience. 16. 877326–877326. 6 indexed citations
5.
Lloyd, E. Caitlin, Karin Foerde, Alexandra F. Muratore, et al.. (2022). Large-Scale Exploration of Whole-Brain Structural Connectivity in Anorexia Nervosa: Alterations in the Connectivity of Frontal and Subcortical Networks. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 8(8). 864–873. 5 indexed citations
6.
Abraham, Eyal, Yun Wang, Connie Svob, et al.. (2021). Organization of the social cognition network predicts future depression and interpersonal impairment: a prospective family-based study. Neuropsychopharmacology. 47(2). 531–542. 6 indexed citations
7.
Wang, Yun, et al.. (2021). Automatic Volumetric Quality Assessment of Diffusion MR Images via Convolutional Neural Network Classifiers. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 2756–2760. 3 indexed citations
8.
Dijk, Milenna T. van, Jiook Cha, David Semanek, et al.. (2020). Altered Dentate Gyrus Microstructure in Individuals at High Familial Risk for Depression Predicts Future Symptoms. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(1). 50–58. 20 indexed citations
9.
Tottenham, Nim, Myrna M. Weissman, Zhishun Wang, et al.. (2020). Depression Risk Is Associated With Weakened Synchrony Between the Amygdala and Experienced Emotion. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 6(3). 343–351. 9 indexed citations
10.
Hao, Xuejun, Ardesheer Talati, Stewart A. Shankman, et al.. (2017). Stability of Cortical Thinning in Persons at Increased Familial Risk for Major Depressive Disorder Across 8 Years. Biological Psychiatry Cognitive Neuroscience and Neuroimaging. 2(7). 619–625. 21 indexed citations
11.
Peterson, Bradley S., Virginia Rauh, Ravi Bansal, et al.. (2015). Effects of Prenatal Exposure to Air Pollutants (Polycyclic Aromatic Hydrocarbons) on the Development of Brain White Matter, Cognition, and Behavior in Later Childhood. JAMA Psychiatry. 72(6). 531–531. 274 indexed citations
12.
Zhang, Yudong, et al.. (2010). An Improved Image Fusion Algorithm Based on Wavelet Decomposition. Journal of Convergence Information Technology. 5(10). 15–21. 14 indexed citations
14.
Semanek, David, et al.. (2004). Individual differences in sensitivity to induction-by-line: Covariation between perceived elevation (VPEL) and perceived vertical (VPV). Journal of Vision. 4(8). 383–383. 3 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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