Ken Martin
- Computer Vision and Pattern Recognition top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Biomedical Engineering
- Computer Networks and Communications
- Surgery
- Co-authors
- W. J. SchroederLuis IbáñezGábor FichtingerKenneth MorelandBerk GeveciJohn BiddiscombeCsaba PintérAndrás Lassó
- Topics
- Computer Graphics and Visualization Techniques (6 papers)Data Visualization and Analytics (4 papers)Scientific Computing and Data Management (3 papers)
- Cited by
- Computer Graphics and Computer-Aided DesignComputer Vision and Pattern RecognitionComputer Science Applications
- Journals
- Medical Image AnalysisIEEE Transactions on Visualization and Computer GraphicsImage and Vision Computing
- Partner nations
- United StatesSwitzerlandCanada
In The Last Decade
Ken Martin
16 papers receiving 248 citations
Peers
Comparison fields: 5 of 79
- Computer Vision and Pattern Recognition 110
- Computer Graphics and Computer-Aided Design 61
- Biomedical Engineering 42
- Computer Networks and Communications 39
- Surgery 34
Countries citing papers authored by Ken Martin
This map shows the geographic impact of Ken Martin'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 Ken Martin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ken Martin more than expected).
Fields of papers citing papers by Ken Martin
This network shows the impact of papers produced by Ken Martin. 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 Ken Martin. The network helps show where Ken Martin may publish in the future.
Co-authorship network of co-authors of Ken Martin
This figure shows the co-authorship network connecting the top 25 collaborators of Ken Martin. A scholar is included among the top collaborators of Ken Martin 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 Ken Martin. Ken Martin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 35 | |
| 3 | 6 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 23 | |
| 7 | 41 | |
| 8 | 2 | |
| 9 | 8 | |
| 10 | 15 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 0 | |
| 15 | 86 | |
| 16 | Automated wrapping of a C++ class library into Tcl | 5 |
| 17 | 8 |
About Ken Martin
Ken Martin is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Information Systems and Management, having authored 17 papers that have together received 265 indexed citations. Recurring topics across this work include Computer Graphics and Visualization Techniques (6 papers), Data Visualization and Analytics (4 papers) and Scientific Computing and Data Management (3 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (61 citations), Computer Vision and Pattern Recognition (110 citations) and Computer Science Applications (19 citations). Ken Martin has collaborated with scholars based in United States, Switzerland and Canada. Frequent co-authors include W. J. Schroeder, Luis Ibáñez, Gábor Fichtinger, Kenneth Moreland, Berk Geveci, John Biddiscombe, Csaba Pintér, András Lassó, David Thompson and Matthew A. Jolley. Their work appears in journals such as Medical Image Analysis, IEEE Transactions on Visualization and Computer Graphics and Image and Vision Computing.
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.