Lee M. Seversky

25 total papers · 1.1k total citations
16 papers, 565 citations indexed

About

Lee M. Seversky is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Lee M. Seversky has authored 16 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Vision and Pattern Recognition, 9 papers in Computational Mechanics and 5 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Lee M. Seversky's work include 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). Lee M. Seversky is often cited by papers focused on 3D Shape Modeling and Analysis (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Sparse and Compressive Sensing Techniques (3 papers). Lee M. Seversky collaborates with scholars based in United States, China and Switzerland. Lee M. Seversky's co-authors include Matthew Berger, Matthew Berger, Andrei Sharf, Claudio Silva, Andrea Tagliasacchi, Gaël Guennebaud, Joshua A. Levine, Pierre Alliez, Lijun Yin and Pengzhi Gao and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Visualization and Computer Graphics and Image and Vision Computing.

In The Last Decade

Lee M. Seversky

14 papers receiving 541 citations

Hit Papers

A Survey of Surface Recon... 2016 2026 2019 2022 2016 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Lee M. Seversky 227 214 143 143 83 16 565
Haggai Maron 433 1.9× 276 1.3× 181 1.3× 98 0.7× 44 0.5× 16 658
Efi Fogel 179 0.8× 180 0.8× 300 2.1× 29 0.2× 39 0.5× 25 515
Georges‐Pierre Bonneau 305 1.3× 312 1.5× 283 2.0× 36 0.3× 28 0.3× 38 643
Tao Du 172 0.8× 230 1.1× 136 1.0× 37 0.3× 15 0.2× 21 643
Monique Teillaud 226 1.0× 180 0.8× 434 3.0× 23 0.2× 67 0.8× 38 691
Guocheng Qian 249 1.1× 166 0.8× 82 0.6× 107 0.7× 74 0.9× 20 544
Alexander Berner 394 1.7× 262 1.2× 176 1.2× 149 1.0× 77 0.9× 15 579
Christian Dick 191 0.8× 288 1.3× 271 1.9× 32 0.2× 15 0.2× 19 606
Xingyu Xie 344 1.5× 254 1.2× 102 0.7× 45 0.3× 39 0.5× 40 661
Haibin Huang 362 1.6× 297 1.4× 171 1.2× 114 0.8× 25 0.3× 29 615

Countries citing papers authored by Lee M. Seversky

Since Specialization
Citations

This map shows the geographic impact of Lee M. Seversky'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 Lee M. Seversky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee M. Seversky more than expected).

Fields of papers citing papers by Lee M. Seversky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lee M. Seversky. 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 Lee M. Seversky. The network helps show where Lee M. Seversky may publish in the future.

Co-authorship network of co-authors of Lee M. Seversky

This figure shows the co-authorship network connecting the top 25 collaborators of Lee M. Seversky. A scholar is included among the top collaborators of Lee M. Seversky 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 Lee M. Seversky. Lee M. Seversky 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