Jarrett Rushmore

599 total citations
20 papers, 366 citations indexed

About

Jarrett Rushmore is a scholar working on Radiology, Nuclear Medicine and Imaging, Pediatrics, Perinatology and Child Health and Cognitive Neuroscience. According to data from OpenAlex, Jarrett Rushmore has authored 20 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Radiology, Nuclear Medicine and Imaging, 6 papers in Pediatrics, Perinatology and Child Health and 3 papers in Cognitive Neuroscience. Recurrent topics in Jarrett Rushmore's work include Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (10 papers) and Fetal and Pediatric Neurological Disorders (5 papers). Jarrett Rushmore is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (15 papers), Advanced MRI Techniques and Applications (10 papers) and Fetal and Pediatric Neurological Disorders (5 papers). Jarrett Rushmore collaborates with scholars based in United States, China and Australia. Jarrett Rushmore's co-authors include Antoni Valero‐Cabré, Uri T. Eden, Tim Wagner, Bertram R. Payne, Stephen G. Lomber, Álvaro Pascual‐Leone, Claus C. Hilgetag, Janina R. Galler, Jennifer I. Luebke and Felipe Fregni and has published in prestigious journals such as NeuroImage, Experimental Brain Research and Human Brain Mapping.

In The Last Decade

Jarrett Rushmore

14 papers receiving 364 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jarrett Rushmore United States 7 235 200 72 63 42 20 366
Sina Shirinpour United States 12 287 1.2× 213 1.1× 107 1.5× 35 0.6× 59 1.4× 24 430
Mayank Jog United States 11 150 0.6× 159 0.8× 32 0.4× 137 2.2× 32 0.8× 16 325
Abhrajeet Roy United States 8 224 1.0× 134 0.7× 103 1.4× 43 0.7× 57 1.4× 11 363
Pavel Terekhin Germany 6 185 0.8× 224 1.1× 57 0.8× 40 0.6× 51 1.2× 7 375
M. Peresson Italy 10 270 1.1× 113 0.6× 58 0.8× 71 1.1× 42 1.0× 21 412
Paula Davila-Pérez Spain 8 208 0.9× 164 0.8× 63 0.9× 33 0.5× 33 0.8× 13 356
Debby Klooster Netherlands 14 272 1.2× 258 1.3× 107 1.5× 73 1.2× 35 0.8× 27 503
Yi‐Jen Wu Taiwan 10 150 0.6× 202 1.0× 89 1.2× 13 0.2× 16 0.4× 22 348
Marko Ollikainen Finland 7 380 1.6× 387 1.9× 59 0.8× 45 0.7× 62 1.5× 8 497
Peter Höller Austria 13 304 1.3× 96 0.5× 140 1.9× 20 0.3× 52 1.2× 21 521

Countries citing papers authored by Jarrett Rushmore

Since Specialization
Citations

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

Fields of papers citing papers by Jarrett Rushmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jarrett Rushmore

This figure shows the co-authorship network connecting the top 25 collaborators of Jarrett Rushmore. A scholar is included among the top collaborators of Jarrett Rushmore 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 Jarrett Rushmore. Jarrett Rushmore 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
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Wang, Jinhui, Junyi Wang, Mingyu Gao, et al.. (2025). DMVFC: Deep Learning Based Functionally Consistent Tractography Fiber Clustering Using Multimodal Diffusion MRI and Functional MRI. IEEE Journal of Selected Topics in Signal Processing. 19(8). 1920–1929.
3.
Chen, Yuqian, Fan Zhang, Leo Zekelman, et al.. (2025). TractGraphFormer: Anatomically informed hybrid graph CNN-transformer network for interpretable sex and age prediction from diffusion MRI tractography. Medical Image Analysis. 101. 103476–103476. 4 indexed citations
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Chen, Yuqian, Dongnan Liu, Wan Liu, et al.. (2025). The Shape of the Brain's Connections Is Predictive of Cognitive Performance: An Explainable Machine Learning Study. Human Brain Mapping. 46(5). e70166–e70166. 2 indexed citations
6.
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Chen, Yuqian, Dongnan Liu, Leo Zekelman, et al.. (2025). A Multimodal Deep Learning Approach for White Matter Shape Prediction in Diffusion MRI Tractography. Human Brain Mapping. 46(16). e70396–e70396.
8.
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Chen, Yuqian, Dongnan Liu, Jon Haitz Legarreta, et al.. (2025). TractShapeNet: Efficient Multi-Shape Learning with 3D Tractography Point Clouds. 1–5. 1 indexed citations
10.
Zhang, Wei, Ye Wu, Li Yin, et al.. (2024). A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations. Scientific Data. 11(1). 787–787. 6 indexed citations
11.
Zhang, Fan, Yuqian Chen, Lipeng Ning, et al.. (2024). Assessment of the Depiction of Superficial White Matter Using Ultra‐High‐Resolution Diffusion MRI. Human Brain Mapping. 45(14). e70041–e70041.
12.
Zekelman, Leo, Yuqian Chen, Jarrett Rushmore, et al.. (2024). Deep multimodal saliency parcellation of cerebellar pathways: Linking microstructure and individual function through explainable multitask learning. Human Brain Mapping. 45(12). e70008–e70008. 1 indexed citations
13.
Zhu, Ce, Le Zhang, Yipeng Liu, et al.. (2024). A Novel Deep Clustering Framework for Fine-Scale Parcellation of Amygdala Using DMRI Tractography. 160. 1–5. 1 indexed citations
14.
Zhang, Fan, Yuanjing Feng, Jarrett Rushmore, et al.. (2023). Reconstructing the somatotopic organization of the corticospinal tract remains a challenge for modern tractography methods. Human Brain Mapping. 44(17). 6055–6073. 10 indexed citations
15.
Wagner, Tim, Uri T. Eden, Jarrett Rushmore, et al.. (2013). Impact of brain tissue filtering on neurostimulation fields: A modeling study. NeuroImage. 85. 1048–1057. 43 indexed citations
16.
Wagner, Tim, Uri T. Eden, Jarrett Rushmore, et al.. (2013). Impact of brain tissue filtering on neurostimulation fields: A modeling study. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
17.
Wagner, Tim, Jarrett Rushmore, Uri T. Eden, & Antoni Valero‐Cabré. (2008). Biophysical foundations underlying TMS: Setting the stage for an effective use of neurostimulation in the cognitive neurosciences. Cortex. 45(9). 1025–1034. 134 indexed citations
18.
Valero‐Cabré, Antoni, Bertram R. Payne, Jarrett Rushmore, Stephen G. Lomber, & Álvaro Pascual‐Leone. (2005). Impact of repetitive transcranial magnetic stimulation of the parietal cortex on metabolic brain activity: a 14C-2DG tracing study in the cat. Experimental Brain Research. 163(1). 1–12. 101 indexed citations
19.
Lomber, Stephen G., Bertram R. Payne, Claus C. Hilgetag, & Jarrett Rushmore. (2002). Restoration of visual orienting into a cortically blind hemifield by reversible deactivation of posterior parietal cortex or the superior colliculus. Experimental Brain Research. 142(4). 463–474. 44 indexed citations
20.
Rushmore, Jarrett, Jennifer I. Luebke, & Janina R. Galler. (1998). Electrophysiological properties of rat hippocampal principal cells are unaltered by prenatal protein malnutrition. Hippocampus. 8(4). 380–389. 15 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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