Laurence Boxer

About

Laurence Boxer is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Computational Theory and Mathematics. According to data from OpenAlex, Laurence Boxer has authored 54 papers receiving a total of 660 indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Computer Vision and Pattern Recognition, 21 papers in Computer Graphics and Computer-Aided Design and 18 papers in Computational Theory and Mathematics. Recurrent topics in Laurence Boxer’s work include Digital Image Processing Techniques (40 papers), Medical Image Segmentation Techniques (24 papers) and Computational Geometry and Mesh Generation (20 papers). Laurence Boxer is often cited by papers focused on Digital Image Processing Techniques (40 papers), Medical Image Segmentation Techniques (24 papers) and Computational Geometry and Mesh Generation (20 papers). Laurence Boxer collaborates with scholars based in United States, Canada and Türkiye. Laurence Boxer's co-authors include Russ Miller, Andrew Rau‐Chaplin, Özgür Ege and Russell B. Miller and has published in prestigious journals such as Pattern Recognition Letters, Pacific Journal of Mathematics and Computer Vision and Image Understanding.

In The Last Decade

Co-authorship network of co-authors of Laurence Boxer i

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Fields of papers citing papers by Laurence Boxer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Laurence Boxer

Since Specialization

Citations

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).

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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