Laurence Boxer
Impact in
-
- Computational Geometry and Mesh Generation
-
- Digital Image Processing Techniques
- Medical Image Segmentation Techniques
- Image Retrieval and Classification Techniques
Papers in
-
- Digital Image Processing Techniques 36
- Medical Image Segmentation Techniques 20
- Image Retrieval and Classification Techniques 5
- Graph Theory and Algorithms 5
-
- Computational Geometry and Mesh Generation 21
- Computer Graphics and Visualization Techniques 4
- Co-authors
- Russ Miller (12 shared papers)Andrew Rau‐Chaplin (3 shared papers)Özgür Ege (1 shared paper)Russell B. Miller (1 shared paper)
- Journals
- Pattern Recognition Letters (8 papers)Journal of Mathematical Imaging and Vision (7 papers)Journal of Parallel and Distributed Computing (3 papers)Applied General Topology (15 papers)Pacific Journal of Mathematics (1 paper)
- Partner nations
- United StatesCanadaTürkiye
In The Last Decade
Laurence Boxer
51 papers receiving 615 citations
Peers
Comparison fields: 5 of 45
- Computer Graphics and Computer-Aided Design 114
- Computer Vision and Pattern Recognition 613
- Computational Theory and Mathematics 273
- Mathematical Physics 49
- Geometry and Topology 40
Countries citing papers authored by Laurence Boxer
This map shows the geographic impact of Laurence Boxer'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 Laurence Boxer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurence Boxer more than expected).
Fields of papers citing papers by Laurence Boxer
This network shows the impact of papers produced by Laurence Boxer. 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 Laurence Boxer. The network helps show where Laurence Boxer may publish in the future.
Co-authors
The 4 scholars most cited alongside Laurence Boxer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 129 | |
| 2 | 1994 | 107 | |
| 3 | 2005 | 64 | |
| 4 | 2006 | 48 | |
| 5 | 2006 | 40 | |
| 6 | 1993 | 29 | |
| 7 | 1997 | 24 | |
| 8 | 2010 | 19 | |
| 9 | Algorithms Sequential and Parallel: A Unified Approach | 1999 | 17 |
| 10 | 2016 | 16 | |
| 11 | 1993 | 16 | |
| 12 | 2017 | 14 | |
| 13 | 2010 | 14 | |
| 14 | 2008 | 12 | |
| 15 | 1996 | 11 | |
| 16 | 2018 | 11 | |
| 17 | 2019 | 10 | |
| 18 | 1989 | 8 | |
| 19 | 2019 | 8 | |
| 20 | 1999 | 7 |
About Laurence Boxer
Laurence Boxer is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics, Mathematical Physics and Artificial Intelligence, having authored 55 papers that have together received 711 indexed citations. Recurring topics across this work include Digital Image Processing Techniques (36 papers), Computational Geometry and Mesh Generation (21 papers), Medical Image Segmentation Techniques (20 papers), Topological and Geometric Data Analysis (12 papers), Image Retrieval and Classification Techniques (5 papers), Graph Theory and Algorithms (5 papers), Computer Graphics and Visualization Techniques (4 papers) and Advanced Topology and Set Theory (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (114 citations), Computer Vision and Pattern Recognition (613 citations), Computational Theory and Mathematics (273 citations), Mathematical Physics (49 citations) and Geometry and Topology (40 citations). Laurence Boxer has collaborated with scholars based in United States, Canada and Türkiye. Frequent co-authors include Russ Miller, Andrew Rau‐Chaplin, Özgür Ege and Russell B. Miller. Their work appears in journals such as Pattern Recognition Letters, Journal of Mathematical Imaging and Vision, Journal of Parallel and Distributed Computing, Applied General Topology and Pacific Journal of Mathematics.
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.