Judd Storrs

450 total citations
12 papers, 343 citations indexed

About

Judd Storrs is a scholar working on Radiology, Nuclear Medicine and Imaging, Cognitive Neuroscience and Psychiatry and Mental health. According to data from OpenAlex, Judd Storrs has authored 12 papers receiving a total of 343 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Cognitive Neuroscience and 4 papers in Psychiatry and Mental health. Recurrent topics in Judd Storrs's work include Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (5 papers) and Epilepsy research and treatment (2 papers). Judd Storrs is often cited by papers focused on Advanced Neuroimaging Techniques and Applications (6 papers), Functional Brain Connectivity Studies (5 papers) and Epilepsy research and treatment (2 papers). Judd Storrs collaborates with scholars based in United States. Judd Storrs's co-authors include Jane B. Allendorfer, Jerzy P. Szaflarski, Kenneth Weiss, James C. Eliassen, Thomas H. Mosley, Michael Griswold, Clifford R. Jack, Stephen T. Turner, Kevin B. Freeman and Ye Chen and has published in prestigious journals such as Radiology, Human Brain Mapping and American Journal of Neuroradiology.

In The Last Decade

Judd Storrs

12 papers receiving 336 citations

Peers

Judd Storrs
Jin-Ju Yang South Korea
Marilyn Albert United States
Emilio Werden Australia
Nina Browner United States
Judd Storrs
Citations per year, relative to Judd Storrs Judd Storrs (= 1×) peers Abhijit Das

Countries citing papers authored by Judd Storrs

Since Specialization
Citations

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

Fields of papers citing papers by Judd Storrs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Judd Storrs

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

All Works

12 of 12 papers shown
1.
Khan, Majid, Seth T. Lirette, David Joyner, et al.. (2020). Third-trimester in utero fetal brain diffusion tensor imaging fiber tractography: a prospective longitudinal characterization of normal white matter tract development. Pediatric Radiology. 50(7). 973–983. 10 indexed citations
2.
Goodman, Adam M., Jane B. Allendorfer, James C. Eliassen, et al.. (2019). Neural response to stress and perceived stress differ in patients with left temporal lobe epilepsy. Human Brain Mapping. 40(12). 3415–3430. 13 indexed citations
3.
Storrs, Judd, Kevin B. Freeman, Clifford R. Jack, et al.. (2018). A comparison of manual tracing and FreeSurfer for estimating hippocampal volume over the adult lifespan. Human Brain Mapping. 39(6). 2500–2513. 71 indexed citations
4.
Allendorfer, Jane B., Lucy Mendoza, Erik Nelson, et al.. (2014). Physiologic and cortical response to acute psychosocial stress in left temporal lobe epilepsy — A pilot cross-sectional fMRI study. Epilepsy & Behavior. 36. 115–123. 40 indexed citations
5.
Boespflug, Erin L., Judd Storrs, James C. Eliassen, et al.. (2013). Full diffusion characterization implicates regionally disparate neuropathology in Mild Cognitive Impairment. Brain Structure and Function. 219(1). 367–379. 13 indexed citations
6.
Chen, Ye, Judd Storrs, Lirong Tan, et al.. (2013). Detecting brain structural changes as biomarker from magnetic resonance images using a local feature based SVM approach. Journal of Neuroscience Methods. 221. 22–31. 51 indexed citations
7.
Allendorfer, Jane B., Judd Storrs, & Jerzy P. Szaflarski. (2012). Changes in white matter integrity follow excitatory rTMS treatment of post-stroke aphasia. Restorative Neurology and Neuroscience. 30(2). 103–113. 64 indexed citations
8.
Boespflug, Erin L., Judd Storrs, Jane B. Allendorfer, et al.. (2011). Mean diffusivity as a potential diffusion tensor biomarker of motor rehabilitation after electrical stimulation incorporating task specific exercise in stroke: a pilot study. Brain Imaging and Behavior. 8(3). 359–369. 13 indexed citations
9.
Storrs, Judd. (2010). Automatic Real-Time Targeting of Single-Voxel Magnetic Resonance Spectroscopy. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
10.
Weiss, Kenneth, et al.. (2006). Automated Spine Survey Iterative Scan Technique. Radiology. 239(1). 255–262. 30 indexed citations
11.
Weiss, Kenneth, et al.. (2004). CT brain prescriptions in Talairach space: a new clinical standard.. American Journal of Neuroradiology. 25(2). 233–7. 7 indexed citations
12.
Weiss, Kenneth, Hai‐Feng Pan, Judd Storrs, et al.. (2003). Clinical brain MR imaging prescriptions in Talairach space: technologist- and computer-driven methods.. American Journal of Neuroradiology. 24(5). 922–9. 30 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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