Lee R. Nackman

28 total papers · 758 total citations
23 papers, 490 citations indexed

About

Lee R. Nackman is a scholar working on Computer Graphics and Computer-Aided Design, Computational Mechanics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lee R. Nackman has authored 23 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Graphics and Computer-Aided Design, 6 papers in Computational Mechanics and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lee R. Nackman's work include Computational Geometry and Mesh Generation (9 papers), Advanced Numerical Analysis Techniques (6 papers) and Digital Image Processing Techniques (4 papers). Lee R. Nackman is often cited by papers focused on Computational Geometry and Mesh Generation (9 papers), Advanced Numerical Analysis Techniques (6 papers) and Digital Image Processing Techniques (4 papers). Lee R. Nackman collaborates with scholars based in United States and Germany. Lee R. Nackman's co-authors include Vijay Srinivasan, Stephen M. Pizer, Derek Lieber, John Barton, Michael Karasick, Victor Milenkovic, Jiang Tang, Jaroslaw R. Rossignac, Russell H. Taylor and V. T. Rajan and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Proceedings of the IEEE and ACM Transactions on Graphics.

In The Last Decade

Lee R. Nackman

20 papers receiving 435 citations

Author Peers

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

Author						Papers	Cites
Lee R. Nackman	256	217	148	67	53	23	490
Lutz Kettner	318 1.2×	208 1.0×	144 1.0×	21 0.3×	80 1.5×	35	500
Stefan Schirra	222 0.9×	111 0.5×	131 0.9×	29 0.4×	117 2.2×	40	537
Efi Fogel	300 1.2×	180 0.8×	179 1.2×	38 0.6×	47 0.9×	25	515
Lyle Ramshaw	210 0.8×	233 1.1×	140 0.9×	36 0.5×	113 2.1×	12	547
Arthur Appel	384 1.5×	229 1.1×	301 2.0×	22 0.3×	11 0.2×	14	544
A. Lin	292 1.1×	111 0.5×	174 1.2×	45 0.7×	49 0.9×	17	522
Yong Tsui Lee	189 0.7×	162 0.7×	217 1.5×	45 0.7×	12 0.2×	19	447
William Horn	358 1.4×	240 1.1×	247 1.7×	16 0.2×	9 0.2×	17	451
Hossam ElGindy	175 0.7×	34 0.2×	147 1.0×	41 0.6×	64 1.2×	43	509
Tiantian Liu	151 0.6×	204 0.9×	108 0.7×	18 0.3×	14 0.3×	20	518

Countries citing papers authored by Lee R. Nackman

Since Specialization

Citations

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

Fields of papers citing papers by Lee R. Nackman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lee R. Nackman

This figure shows the co-authorship network connecting the top 25 collaborators of Lee R. Nackman. A scholar is included among the top collaborators of Lee R. Nackman 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 R. Nackman. Lee R. Nackman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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