Vic Patrangenaru
- Geometry and Topology top 1%
- Morphological variations and asymmetry 29
- Computational Mathematics top 10%
- Statistics and Probability top 2%
- Advanced Statistical Methods and Models 5
- Applied Mathematics top 5%
- Statistical and numerical algorithms 6
- Environmental Engineering top 10%
- Soil Geostatistics and Mapping 8
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- Image Retrieval and Classification Techniques 6
- Image and Object Detection Techniques 4
- Optical measurement and interference techniques 4
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- Bayesian Methods and Mixture Models 4
- Co-authors
- Rabi BhattacharyaKanti V. MardiaMartin CraneF.H. RuymgaartX. LiuRobert L. PaigeDavid GroisserArmin Schwartzman
- Journals
- Pattern Recognition (1 paper)The Annals of Statistics (3 papers)Journal of Multivariate Analysis (7 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Vic Patrangenaru
34 papers receiving 547 citations
Peers
Comparison fields: 5 of 60
- Geometry and Topology 409
- Computational Mathematics 13
- Statistics and Probability 152
- Applied Mathematics 117
- Environmental Engineering 125
Countries citing papers authored by Vic Patrangenaru
This map shows the geographic impact of Vic Patrangenaru'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 Vic Patrangenaru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vic Patrangenaru more than expected).
Fields of papers citing papers by Vic Patrangenaru
This network shows the impact of papers produced by Vic Patrangenaru. 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 Vic Patrangenaru. The network helps show where Vic Patrangenaru may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Vic Patrangenaru, 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 | 1 | |
| 2 | 2019 | 1 | |
| 3 | 2014 | 8 | |
| 4 | 2013 | 13 | |
| 5 | 2013 | 15 | |
| 6 | 2013 | 3 | |
| 7 | Extrinsic Data Analysis on Sample Spaces with a Manifold Stratification | 2011 | 2 |
| 8 | 2010 | 13 | |
| 9 | 2010 | 4 | |
| 10 | Projective shape manifolds and coplanarity of landmark configurations. A nonparametric approach. | 2009 | 6 |
| 11 | 2009 | 16 | |
| 12 | 2009 | 18 | |
| 13 | Applications of Nonparametric Statistics on Reflection Shape Manifolds and Reflection Size-and-Shape Manifolds in Medical Imaging and Proteomics | 2008 | 1 |
| 14 | 2007 | 16 | |
| 15 | Geometry of Shape Spaces | 2006 | 1 |
| 16 | 2005 | 50 | |
| 17 | Reconstruction of planar scenes from multiple views using affine and projective shape manifolds | 2003 | 1 |
| 18 | 2003 | 195 | |
| 19 | 2002 | 45 | |
| 20 | 1998 | 2 |
About Vic Patrangenaru
Vic Patrangenaru is a scholar working on Geometry and Topology, Computational Mathematics and Applied Mathematics, having authored 35 papers that have together received 592 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (29 papers), Soil Geostatistics and Mapping (8 papers), Statistical and numerical algorithms (6 papers), Image Retrieval and Classification Techniques (6 papers), Advanced Statistical Methods and Models (5 papers), Bayesian Methods and Mixture Models (4 papers), Image and Object Detection Techniques (4 papers) and Optical measurement and interference techniques (4 papers). The work is most often cited by research in Geometry and Topology (409 citations), Computational Mathematics (13 citations) and Statistics and Probability (152 citations). Vic Patrangenaru has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Rabi Bhattacharya, Kanti V. Mardia, Martin Crane, F.H. Ruymgaart, X. Liu, Robert L. Paige, David Groisser, Armin Schwartzman, Jong‐Shi Pang and Axel Munk. Their work appears in journals such as Pattern Recognition, The Annals of Statistics and Journal of Multivariate Analysis.
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.