Laurence Boxer

96 total papers · 1.1k total citations
55 papers, 711 citations indexed

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 55 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 22 papers in Computer Graphics and Computer-Aided Design and 14 papers in Computational Theory and Mathematics. Recurrent topics in Laurence Boxer's work include Digital Image Processing Techniques (36 papers), Computational Geometry and Mesh Generation (21 papers) and Medical Image Segmentation Techniques (20 papers). Laurence Boxer is often cited by papers focused on Digital Image Processing Techniques (36 papers), Computational Geometry and Mesh Generation (21 papers) and Medical Image Segmentation Techniques (20 papers). Laurence Boxer collaborates with scholars based in United States, Türkiye and Canada. 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, Computer Vision and Image Understanding and Pacific Journal of Mathematics.

In The Last Decade

Laurence Boxer

51 papers receiving 615 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Laurence Boxer 613 273 114 49 40 55 711
André Lieutier 367 0.6× 416 1.5× 278 2.4× 113 2.3× 58 1.4× 46 793
Paul R. Meyer 481 0.8× 313 1.1× 41 0.4× 54 1.1× 81 2.0× 24 621
Pável Valtr 168 0.3× 331 1.2× 333 2.9× 29 0.6× 91 2.3× 74 619
Renzo Pinzani 184 0.3× 336 1.2× 44 0.4× 82 1.7× 55 1.4× 78 778
Paul C. Kainen 120 0.2× 301 1.1× 142 1.2× 43 0.9× 56 1.4× 56 718
Yuqun Chen 156 0.3× 77 0.3× 91 0.8× 82 1.7× 207 5.2× 77 821
Stefan Felsner 145 0.2× 499 1.8× 373 3.3× 81 1.7× 98 2.5× 101 867
Imre Bárány 95 0.2× 167 0.6× 268 2.4× 100 2.0× 177 4.4× 61 853
Neil White 49 0.1× 363 1.3× 77 0.7× 52 1.1× 271 6.8× 46 796
Seiya Negami 78 0.1× 480 1.8× 234 2.1× 55 1.1× 235 5.9× 75 670

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).

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.

Co-authorship network of co-authors of Laurence Boxer

This figure shows the co-authorship network connecting the top 25 collaborators of Laurence Boxer. A scholar is included among the top collaborators of Laurence Boxer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Laurence Boxer. Laurence Boxer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026