Jason F. Shepherd

1.5k citations
48 papers · 943 indexed · h-index 17

Jason F. Shepherd

47 papers receiving 904 citations

Peers

Jason F. Shepherd
Comparison fields: 5 of 135
  • Computer Graphics and Computer-Aided Design 424
  • Computational Mechanics 307
  • Computer Vision and Pattern Recognition 168
  • Human-Computer Interaction 42
  • Cognitive Neuroscience 90
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Citations per year

Countries citing papers authored by Jason F. Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Jason F. Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jason F. Shepherd. 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 Jason F. Shepherd. The network helps show where Jason F. Shepherd may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Jason F. Shepherd, 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 Jason F. Shepherd Line = papers co-authored together Jason F. Shepherd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20241
2 20228
3 20223
4 20219
5 202120
6 202115
7 20211
8 20202
9 20171
10 20145
11 201126
12 200871
13
Quality Improvement and Boolean-Like Cutting Operations in Hexahedral Meshes.
20078
14
BioMesh3D: A Meshing Pipeline for Biomedical Computing.
20070
15 200735
16
On the Existence of a Perfect Matching for 4-regular Graphs derived from Quadrilateral Meshes
20065
17 200690
18
Hexahedral Sheet Extraction.
200218
19
Sculpting: An Improved Inside-out Scheme for All Hexahedral Meshing
20027
20
Methods for Multisweep Automation
200033

About Jason F. Shepherd

Jason F. Shepherd is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Psychiatry and Mental health, having authored 48 papers that have together received 943 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (24 papers), Computer Graphics and Visualization Techniques (15 papers), 3D Shape Modeling and Analysis (10 papers), Schizophrenia research and treatment (9 papers), Mental Health and Psychiatry (6 papers), Lipoproteins and Cardiovascular Health (4 papers), Digital Image Processing Techniques (4 papers) and Health Systems, Economic Evaluations, Quality of Life (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (424 citations), Computational Mechanics (307 citations) and Computer Vision and Pattern Recognition (168 citations). Jason F. Shepherd has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Chris R. Johnson, Gilbert A. Preston, Laura E. Matzen, Kristin Potter, Franck Ledoux, Steven E. Benzley, Claudio Silva, Joel Daniels, Elaine Cohen and Scott A. Mitchell. Their work appears in journals such as Engineering With Computers, CNS Spectrums, International Journal for Numerical Methods in Engineering, Current Medical Research and Opinion and Frontiers in Psychiatry.

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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