Scott Shepard

35 papers receiving 924 citations

Peers

Scott Shepard
Comparison fields: 5 of 104
  • Genetics 137
  • Neurology 145
  • Atomic and Molecular Physics, and Optics 320
  • Artificial Intelligence 283
  • Acoustics and Ultrasonics 5
Replace Aaron D. Aguirre with:
Aaron D. Aguirre United States
Wenjun Liao China
Sang Min Lee South Korea
Yiren Chen China
Vijay Rajagopal Australia
René Werner Germany
Ken Chang United States
Sachin Jambawalikar United States
Jennifer L. Boes United States
Eigil Samset Norway
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Citations per field
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Aaron D. Aguirre · 1×
Citations per year

Countries citing papers authored by Scott Shepard

Since Specialization
Citations

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

Fields of papers citing papers by Scott Shepard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Scott Shepard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Scott Shepard Line = papers co-authored together Scott Shepard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991207
2 2008121
3 1989118
4 199367
5 199458
6 199149
7 198249
8 200447
9 200947
10 201935
11 201934
12 200525
13 201814
14
Endovascular treatment of a ruptured giant serpentine aneurysm of the superior cerebellar artery in a patient with a Chiari II malformation.
200413
15 200712
16 20089
17 20088
18 20157
19 19906
20 19845

About Scott Shepard

Scott Shepard is a scholar working on Genetics, Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering, Neurology and Epidemiology, having authored 49 papers that have together received 962 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (11 papers), Quantum Information and Cryptography (6 papers), Optical Network Technologies (6 papers), Photonic and Optical Devices (5 papers), Meningioma and schwannoma management (5 papers), Quantum Mechanics and Applications (4 papers), Brain Metastases and Treatment (4 papers) and Traumatic Brain Injury and Neurovascular Disturbances (3 papers). The work is most often cited by research in Genetics (137 citations), Neurology (145 citations), Atomic and Molecular Physics, and Optics (320 citations), Artificial Intelligence (283 citations) and Acoustics and Ultrasonics (5 citations). Scott Shepard has collaborated with scholars based in United States, Uzbekistan and China. Frequent co-authors include Jeffrey H. Shapiro, N. C. Wong, Nam P. Suh, Robert Hariri, Jamshid Ghajar, Ramsey A. Foty, Brian S. Winters, Sigmund Hsu, Philip H. Gutin and Ruth A. Montague. Their work appears in journals such as Physical Review A, Nonlinear Analysis, World Neurosurgery, Journal of Neuro-Oncology and Proceedings of the National Academy of Sciences.

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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