William Lenhart
- Computer Graphics and Computer-Aided Design top 2%
- Computer Vision and Pattern Recognition top 10%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Signal Processing
- Co-authors
- Sue WhitesidesChris UmansMicha SharirJörg-Rüdiger SackRaimund SeidelRichard PollackGiuseppe LiottaProsenjit Bose
- Topics
- Computational Geometry and Mesh Generation (13 papers)Advanced Graph Theory Research (9 papers)Digital Image Processing Techniques (4 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputational Theory and MathematicsSignal Processing
- Journals
- Pattern Recognition LettersTheoretical Computer ScienceJournal of Combinatorial Theory Series B
- Partner nations
- United StatesCanadaItaly
In The Last Decade
William Lenhart
16 papers receiving 198 citations
Peers
Comparison fields: 5 of 39
- Computer Graphics and Computer-Aided Design 150
- Computer Vision and Pattern Recognition 76
- Computational Theory and Mathematics 71
- Computer Networks and Communications 47
- Signal Processing 42
Countries citing papers authored by William Lenhart
This map shows the geographic impact of William Lenhart'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 William Lenhart with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Lenhart more than expected).
Fields of papers citing papers by William Lenhart
This network shows the impact of papers produced by William Lenhart. 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 William Lenhart. The network helps show where William Lenhart may publish in the future.
Co-authorship network of co-authors of William Lenhart
This figure shows the co-authorship network connecting the top 25 collaborators of William Lenhart. A scholar is included among the top collaborators of William Lenhart 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 William Lenhart. William Lenhart is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 0 | |
| 5 | 4 | |
| 6 | 44 | |
| 7 | Proximity Drawings of Outerplanar Graphs | 8 |
| 8 | 2 | |
| 9 | 4 | |
| 10 | 20 | |
| 11 | 45 | |
| 12 | Dominance Drawings of Bipartite Graphs. | 4 |
| 13 | 2 | |
| 14 | 6 | |
| 15 | 6 | |
| 16 | 27 | |
| 17 | 42 |
About William Lenhart
William Lenhart is a scholar working on Computer Graphics and Computer-Aided Design, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 222 indexed citations. Recurring topics across this work include Computational Geometry and Mesh Generation (13 papers), Advanced Graph Theory Research (9 papers) and Digital Image Processing Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (150 citations), Computational Theory and Mathematics (71 citations) and Signal Processing (42 citations). William Lenhart has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Sue Whitesides, Chris Umans, Micha Sharir, Jörg-Rüdiger Sack, Raimund Seidel, Richard Pollack, Giuseppe Liotta, Prosenjit Bose, G Liotta and Chee Yap. Their work appears in journals such as Pattern Recognition Letters, Theoretical Computer Science and Journal of Combinatorial Theory Series B.
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.