Joshua A. Levine
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- Computer Graphics and Visualization Techniques 26
- Computational Geometry and Mesh Generation 15
- Geology top 2%
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- Data Visualization and Analytics 10
- Advanced Vision and Imaging 4
- Computational Mechanics top 2%
- 3D Shape Modeling and Analysis 16
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- Topological and Geometric Data Analysis 6
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- Remote Sensing and LiDAR Applications 4
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- Cell Image Analysis Techniques 4
- Co-authors
- Matthew BergerClaudio SilvaFrederick DucatelleTamal K. DeyValerio PascucciPeer‐Timo BremerAndrea TagliasacchiAndrei Sharf
- Journals
- Journal of Biological Chemistry (1 paper)Applied Physics Letters (1 paper)Scientific Reports (2 papers)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Joshua A. Levine
64 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Graphics and Computer-Aided Design 528
- Geology 206
- Computer Vision and Pattern Recognition 636
- Computational Mechanics 477
- Industrial and Manufacturing Engineering 127
Countries citing papers authored by Joshua A. Levine
This map shows the geographic impact of Joshua A. Levine'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 Joshua A. Levine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua A. Levine more than expected).
Fields of papers citing papers by Joshua A. Levine
This network shows the impact of papers produced by Joshua A. Levine. 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 Joshua A. Levine. The network helps show where Joshua A. Levine may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joshua A. Levine, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 3 | |
| 2 | 2023 | 10 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 6 | |
| 6 | 2022 | 9 | |
| 7 | 2022 | 1 | |
| 8 | 2021 | 61 | |
| 9 | 2020 | 2 | |
| 10 | NNCubes: Learned Structures for Visual Data Exploration. | 2018 | 3 |
| 11 | 2018 | 2 | |
| 12 | 2015 | 8 | |
| 13 | 2014 | 5 | |
| 14 | 2013 | 20 | |
| 15 | 2012 | 8 | |
| 16 | 2012 | 11 | |
| 17 | 2009 | 37 | |
| 18 | Potassium and Calcium in Lunar Impact Spherules | 2006 | 1 |
| 19 | 2006 | 48 | |
| 20 | 2004 | 123 |
About Joshua A. Levine
Joshua A. Levine is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Biophysics, having authored 69 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (26 papers), 3D Shape Modeling and Analysis (16 papers), Computational Geometry and Mesh Generation (15 papers), Data Visualization and Analytics (10 papers), Topological and Geometric Data Analysis (6 papers), Remote Sensing and LiDAR Applications (4 papers), Cell Image Analysis Techniques (4 papers) and Advanced Vision and Imaging (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (528 citations), Geology (206 citations) and Computer Vision and Pattern Recognition (636 citations). Joshua A. Levine has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Matthew Berger, Claudio Silva, Frederick Ducatelle, Tamal K. Dey, Valerio Pascucci, Peer‐Timo Bremer, Andrea Tagliasacchi, Andrei Sharf, Pierre Alliez and Gaël Guennebaud. Their work appears in journals such as Journal of Biological Chemistry, Applied Physics Letters and Scientific Reports.
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.