John Gerth
Impact in
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- Computer Graphics and Visualization Techniques
- Signal Processing top 5%
- Data Management and Algorithms
Papers in
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- Computational Physics and Python Applications 2
- Advanced Software Engineering Methodologies 2
- Internet Traffic Analysis and Secure E-voting 2
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- Data Visualization and Analytics 8
- Co-authors
- Pat Hanrahan (5 shared papers)Xiao Ling (2 shared papers)Justin Talbot (3 shared papers)Alan Norton (1 shared paper)Greg Turk (1 shared paper)John R. Goodall (1 shared paper)Michael D. Iannacone (1 shared paper)Erik M. Ferragut (1 shared paper)
- Journals
- IEEE Transactions on Visualization and Computer Graphics (2 papers)The Visual Computer (1 paper)Mathematics and visualization (1 paper)ACM SIGGRAPH Computer Graphics (1 paper)Japanese Journal of Statistics and Data Science (1 paper)
- Partner nations
- United States
In The Last Decade
John Gerth
19 papers receiving 583 citations
Peers
Comparison fields: 5 of 72
- Computer Graphics and Computer-Aided Design 73
- Signal Processing 160
- Computer Vision and Pattern Recognition 255
- Computer Networks and Communications 224
- Information Systems 187
Countries citing papers authored by John Gerth
This map shows the geographic impact of John Gerth'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 John Gerth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Gerth more than expected).
Fields of papers citing papers by John Gerth
This network shows the impact of papers produced by John Gerth. 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 John Gerth. The network helps show where John Gerth may publish in the future.
Co-authors
The 25 scholars most cited alongside John Gerth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 127 | |
| 2 | 2015 | 110 | |
| 3 | 2010 | 105 | |
| 4 | 2008 | 61 | |
| 5 | 2006 | 48 | |
| 6 | 2000 | 48 | |
| 7 | 2008 | 34 | |
| 8 | 2012 | 33 | |
| 9 | 2011 | 22 | |
| 10 | 1984 | 18 | |
| 11 | 1996 | 6 | |
| 12 | 2018 | 5 | |
| 13 | 2011 | 4 | |
| 14 | Proceedings of the Seventh International Symposium on Visualization for Cyber Security | 2010 | 4 |
| 15 | 1995 | 3 | |
| 16 | 1983 | 2 | |
| 17 | 1987 | 2 | |
| 18 | 1977 | 1 | |
| 19 | 1983 | 1 |
About John Gerth
John Gerth is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computer Networks and Communications, Information Systems and Statistical and Nonlinear Physics, having authored 19 papers that have together received 634 indexed citations. Recurring topics across this work include Data Visualization and Analytics (8 papers), Advanced Database Systems and Queries (4 papers), Complex Network Analysis Techniques (3 papers), Service-Oriented Architecture and Web Services (2 papers), Computational Physics and Python Applications (2 papers), Advanced Software Engineering Methodologies (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Internet Traffic Analysis and Secure E-voting (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (73 citations), Signal Processing (160 citations), Computer Vision and Pattern Recognition (255 citations), Computer Networks and Communications (224 citations) and Information Systems (187 citations). John Gerth has collaborated with scholars based in United States. Frequent co-authors include Pat Hanrahan, Xiao Ling, Justin Talbot, Alan Norton, Greg Turk, John R. Goodall, Michael D. Iannacone, Erik M. Ferragut, Robert A. Bridges and Tyson Condie. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, The Visual Computer, Mathematics and visualization, ACM SIGGRAPH Computer Graphics and Japanese Journal of Statistics and Data Science.
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.