John W. Snell

1.7k total citations · 1 hit paper
23 papers, 1.3k citations indexed

About

John W. Snell is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Aerospace Engineering. According to data from OpenAlex, John W. Snell has authored 23 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 10 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Aerospace Engineering. Recurrent topics in John W. Snell's work include Medical Image Segmentation Techniques (8 papers), Robotics and Sensor-Based Localization (5 papers) and Ultrasound Imaging and Elastography (4 papers). John W. Snell is often cited by papers focused on Medical Image Segmentation Techniques (8 papers), Robotics and Sensor-Based Localization (5 papers) and Ultrasound Imaging and Elastography (4 papers). John W. Snell collaborates with scholars based in United States and France. John W. Snell's co-authors include Judith L. Rapoport, Jay N. Giedd, Jagath C. Rajapakse, Yolanda C. Vauss, B. J. Casey, Susan D. Hamburger, A. Catherine Vaituzis, Nicholas Lange, Patricia Kozuch and Debra Kaysen and has published in prestigious journals such as Methods in enzymology on CD-ROM/Methods in enzymology, Cerebral Cortex and Journal of neurosurgery.

In The Last Decade

John W. Snell

22 papers receiving 1.3k citations

Hit Papers

Quantitative Magnetic Resonance Imaging of Human Brain De... 1996 2026 2006 2016 1996 250 500 750

Peers

John W. Snell
Arto C. Nirkko Switzerland
Alain Pitiot United Kingdom
R. Allom United Kingdom
Stephen Whalen United States
Zack Shan Australia
D Rex United States
Vitria Adisetiyo United States
Birkan Tunç United States
Arto C. Nirkko Switzerland
John W. Snell
Citations per year, relative to John W. Snell John W. Snell (= 1×) peers Arto C. Nirkko

Countries citing papers authored by John W. Snell

Since Specialization
Citations

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

Fields of papers citing papers by John W. Snell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John W. Snell

This figure shows the co-authorship network connecting the top 25 collaborators of John W. Snell. A scholar is included among the top collaborators of John W. Snell 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 John W. Snell. John W. Snell 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.
Eames, Matthew, Mohamad Khaled, W. Jeff Elias, et al.. (2015). Head phantoms for transcranial focused ultrasound. Medical Physics. 42(4). 1518–1527. 17 indexed citations
2.
Odéen, Henrik, Joshua de Bever, Nick Todd, et al.. (2014). Treatment envelope evaluation in transcranial magnetic resonance-guided focused ultrasound utilizing 3D MR thermometry. Journal of Therapeutic Ultrasound. 2(1). 19–19. 26 indexed citations
3.
Eames, Matthew, Arik Hananel, John W. Snell, Neal F. Kassell, & Jean‐François Aubry. (2014). Trans-cranial focused ultrasound without hair shaving: feasibility study in an ex vivo cadaver model. Journal of Therapeutic Ultrasound. 1(1). 24–24. 36 indexed citations
4.
Eames, Matthew, Arik Hananel, Neal F. Kassell, & John W. Snell. (2012). Intracranial treatment envelope mapping of transcranial focused ultrasound. AIP conference proceedings. 181–184. 3 indexed citations
5.
Snell, John W., Jason P. Sheehan, Matei Stroila, & Ladislau Steiner. (2006). Assessment of imaging studies used with radiosurgery: a volumetric algorithm and an estimation of its error. Journal of neurosurgery. 104(1). 157–162. 171 indexed citations
6.
Merickel, Michael, et al.. (2005). Multispectral Tissue Identification In MR Images. 1323–1324. 1 indexed citations
7.
Snell, John W., et al.. (2002). Model-based segmentation of the brain from 3-D MRI using active surfaces. 1808. 164–165. 1 indexed citations
8.
Giedd, Jay N., John W. Snell, Nicholas Lange, et al.. (1996). Quantitative Magnetic Resonance Imaging of Human Brain Development: Ages 4–18. Cerebral Cortex. 6(4). 551–559. 808 indexed citations breakdown →
9.
Rajapakse, Jagath C., Jay N. Giedd, Charles DeCarli, et al.. (1996). A technique for single-channel MR brain tissue segmentation: Application to a pediatric sample. Magnetic Resonance Imaging. 14(9). 1053–1065. 38 indexed citations
10.
Schlesinger, David, John W. Snell, Lois Mansfield, et al.. (1996). <title>Segmentation of volumetric medical imagery using multiple geodesic-based active surfaces</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2710. 243–253. 9 indexed citations
11.
Snell, John W., et al.. (1995). <title>Tissue-selective magnetic resonance subtraction venography</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2434. 300–306. 2 indexed citations
12.
13.
Snell, John W., Michael Merickel, James M. Ortega, et al.. (1995). Model-based boundary estimation of complex objects using hierarchical active surface templates. Pattern Recognition. 28(10). 1599–1609. 39 indexed citations
14.
Goble, John C., Ken Hinckley, Randy Pausch, John W. Snell, & Neal F. Kassell. (1995). Two-handed spatial interface tools for neurosurgical planning. Computer. 28(7). 20–26. 57 indexed citations
15.
Snell, John W., et al.. (1995). <title>Three-dimensional stereotactic neurosurgical planner/simulator</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2431. 110–118. 1 indexed citations
16.
Snell, John W., Michael Merickel, James M. Ortega, et al.. (1994). <title>Segmentation of the brain from 3D MRI using a hierarchical active surface template</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2167. 2–9. 12 indexed citations
17.
Goble, John C., John W. Snell, & William T. Katz. (1994). Semiautomatic Model-Based Segmentation of the Brain from Magnetic Resonance Images. 1 indexed citations
18.
Goble, John C., John W. Snell, Ken Hinckley, & Neal F. Kassell. (1994). <title>Real-time system for 3D neurosurgical planning</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2359. 552–563. 8 indexed citations
19.
Katz, William T., John W. Snell, & Michael Merickel. (1992). [29] Artificial neural networks. Methods in enzymology on CD-ROM/Methods in enzymology. 210. 610–636. 53 indexed citations
20.
Perkins, Diana O., John W. Snell, Jacques Barzun, et al.. (1963). The Education of Historians in the United States. The Western Political Quarterly. 16(1). 249–249. 1 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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