W. Scott Hoge

1.3k total citations
54 papers, 702 citations indexed

About

W. Scott Hoge is a scholar working on Radiology, Nuclear Medicine and Imaging, Atomic and Molecular Physics, and Optics and Spectroscopy. According to data from OpenAlex, W. Scott Hoge has authored 54 papers receiving a total of 702 indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Radiology, Nuclear Medicine and Imaging, 14 papers in Atomic and Molecular Physics, and Optics and 8 papers in Spectroscopy. Recurrent topics in W. Scott Hoge's work include Advanced MRI Techniques and Applications (43 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Atomic and Subatomic Physics Research (14 papers). W. Scott Hoge is often cited by papers focused on Advanced MRI Techniques and Applications (43 papers), Advanced Neuroimaging Techniques and Applications (22 papers) and Atomic and Subatomic Physics Research (14 papers). W. Scott Hoge collaborates with scholars based in United States, Germany and China. W. Scott Hoge's co-authors include Dana H. Brooks, Bruno Madore, Jon̈athan R. Polimeni, Antonio Tristán‐Vega, Santiago Aja‐Fernández, Walid E. Kyriakos, Carl‐Fredrik Westin, Robert Kraft, Huan Tan and Dimitris Mitsouras and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and IEEE Transactions on Image Processing.

In The Last Decade

W. Scott Hoge

53 papers receiving 690 citations

Peers

W. Scott Hoge
Julia Velikina United States
Congyu Liao United States
Hans Engels Netherlands
Peter Speier Germany
Farhad Farzaneh United States
Julia Velikina United States
W. Scott Hoge
Citations per year, relative to W. Scott Hoge W. Scott Hoge (= 1×) peers Julia Velikina

Countries citing papers authored by W. Scott Hoge

Since Specialization
Citations

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

Fields of papers citing papers by W. Scott Hoge

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Scott Hoge. 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 W. Scott Hoge. The network helps show where W. Scott Hoge may publish in the future.

Co-authorship network of co-authors of W. Scott Hoge

This figure shows the co-authorship network connecting the top 25 collaborators of W. Scott Hoge. A scholar is included among the top collaborators of W. Scott Hoge 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 W. Scott Hoge. W. Scott Hoge 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.
Ji, Yang, W. Scott Hoge, Borjan Gagoski, et al.. (2022). Accelerating joint relaxation‐diffusion MRI by integrating time division multiplexing and simultaneous multi‐slice (TDM‐SMS) strategies. Magnetic Resonance in Medicine. 87(6). 2697–2709. 6 indexed citations
2.
Ji, Yang, Borjan Gagoski, W. Scott Hoge, Yogesh Rathi, & Lipeng Ning. (2021). Accelerated diffusion and relaxation‐diffusion MRI using time‐division multiplexing EPI. Magnetic Resonance in Medicine. 86(5). 2528–2541. 9 indexed citations
3.
Stockmann, Jason, Thomas Witzel, Azma Mareyam, et al.. (2021). A 31‐channel integrated “AC/DC” B0 shim and radiofrequency receive array coil for improved 7T MRI. Magnetic Resonance in Medicine. 87(2). 1074–1092. 19 indexed citations
4.
Wang, Fuyixue, Zijing Dong, Qiyuan Tian, et al.. (2021). In vivo human whole-brain Connectom diffusion MRI dataset at 760 µm isotropic resolution. Scientific Data. 8(1). 122–122. 38 indexed citations
5.
Holsen, Laura M., W. Scott Hoge, Belinda Lennerz, et al.. (2021). Diets Varying in Carbohydrate Content Differentially Alter Brain Activity in Homeostatic and Reward Regions in Adults. Journal of Nutrition. 151(8). 2465–2476. 9 indexed citations
6.
Szczepankiewicz, Filip, W. Scott Hoge, & Carl‐Fredrik Westin. (2019). Linear, planar and spherical tensor-valued diffusion MRI data by free waveform encoding in healthy brain, water, oil and liquid crystals. SHILAP Revista de lepidopterología. 25. 104208–104208. 23 indexed citations
7.
Javed, Ahsan, et al.. (2018). Robust autocalibrated loraks for EPI ghost correction. PubMed. 2018. 663–666. 4 indexed citations
8.
Preiswerk, Frank, Matthew Toews, W. Scott Hoge, et al.. (2015). Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion. Lecture notes in computer science. 9349. 315–322. 5 indexed citations
9.
Qin, Lei, Ehud J. Schmidt, Zion Tsz Ho Tse, et al.. (2012). Prospective motion correction using tracking coils. Magnetic Resonance in Medicine. 69(3). 749–759. 28 indexed citations
10.
Madore, Bruno, W. Scott Hoge, Tzu Cheng Chao, Gary P. Zientara, & Renxin Chu. (2011). Retrospectively gated cardiac cine imaging with temporal and spatial acceleration. Magnetic Resonance Imaging. 29(4). 457–469. 6 indexed citations
11.
Tan, Huan, W. Scott Hoge, Craig A. Hamilton, Matthias Günther, & Robert Kraft. (2011). 3D GRASE PROPELLER: Improved image acquisition technique for arterial spin labeling perfusion imaging. Magnetic Resonance in Medicine. 66(1). 168–173. 24 indexed citations
12.
Hoge, W. Scott, Huan Tan, & Robert Kraft. (2010). Robust EPI Nyquist ghost elimination via spatial and temporal encoding. Magnetic Resonance in Medicine. 64(6). 1781–1791. 30 indexed citations
13.
Brooks, Dana H., et al.. (2010). Pixel‐based comparison of spinal cord MR diffusion anisotropy with axon packing parameters. Magnetic Resonance in Medicine. 63(6). 1510–1519. 5 indexed citations
14.
Chao, Tzu Cheng, Hsiao‐Wen Chung, W. Scott Hoge, & Bruno Madore. (2009). A 2D MTF approach to evaluate and guide dynamic imaging developments. Magnetic Resonance in Medicine. 63(2). 407–418. 11 indexed citations
15.
Kyriakos, Walid E., W. Scott Hoge, & Dimitris Mitsouras. (2006). Generalized encoding through the use of selective excitation in accelerated parallel MRI. NMR in Biomedicine. 19(3). 379–392. 10 indexed citations
16.
Mamata, Hatsuho, Umberto De Girolami, W. Scott Hoge, Ferenc A. Jólesz, & Stephan E. Maier. (2006). Collateral nerve fibers in human spinal cord: Visualization with magnetic resonance diffusion tensor imaging. NeuroImage. 31(1). 24–30. 24 indexed citations
17.
Hoge, W. Scott & Dana H. Brooks. (2006). On the Complimentarity of Sense and Grappa in Parallel MR Imaging. PubMed. 2006. 755–758. 7 indexed citations
18.
Hoge, W. Scott, et al.. (2005). Techniques for automatic spinal cord histology characterization for validation of diffusion tensor imaging. PubMed. 3. 1640–1643. 1 indexed citations
19.
Mitsouras, Dimitris, W. Scott Hoge, Frank J. Rybicki, et al.. (2004). Non‐Fourier‐encoded parallel MRI using multiple receiver coils. Magnetic Resonance in Medicine. 52(2). 321–328. 14 indexed citations
20.
Hoge, W. Scott, Eric L. Miller, H. Lev-Ari, et al.. (2001). An efficient region of interest acquisition method for dynamic magnetic resonance imaging. IEEE Transactions on Image Processing. 10(7). 1118–1128. 5 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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