G. Ellis
- Computer Vision and Pattern Recognition top 5%
- Signal Processing top 5%
- Artificial Intelligence top 10%
- Computer Graphics and Computer-Aided Design top 5%
- Statistical and Nonlinear Physics
- Co-authors
- Alan DixRobert F. DiasDennis D. Coleman
- Topics
- Data Visualization and Analytics (4 papers)Data Management and Algorithms (2 papers)Calibration and Measurement Techniques (1 paper)
- Cited by
- Computer Vision and Pattern RecognitionComputer Graphics and Computer-Aided DesignSignal Processing
- Journals
- IEEE Transactions on Visualization and Computer GraphicsProceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004.Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI
- Partner nations
- United Kingdom
In The Last Decade
G. Ellis
5 papers receiving 335 citations
Peers
Comparison fields: 5 of 60
- Computer Vision and Pattern Recognition 293
- Signal Processing 118
- Artificial Intelligence 98
- Computer Graphics and Computer-Aided Design 39
- Statistical and Nonlinear Physics 37
Countries citing papers authored by G. Ellis
This map shows the geographic impact of G. Ellis'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 G. Ellis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ellis more than expected).
Fields of papers citing papers by G. Ellis
This network shows the impact of papers produced by G. Ellis. 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 G. Ellis. The network helps show where G. Ellis may publish in the future.
Co-authorship network of co-authors of G. Ellis
This figure shows the co-authorship network connecting the top 25 collaborators of G. Ellis. A scholar is included among the top collaborators of G. Ellis 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 G. Ellis. G. Ellis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 0 | |
| 3 | 270 | |
| 4 | 2 | |
| 5 | 27 | |
| 6 | 53 |
About G. Ellis
G. Ellis is a scholar working on Computer Graphics and Computer-Aided Design, Signal Processing and Computer Vision and Pattern Recognition, having authored 6 papers that have together received 355 indexed citations. Recurring topics across this work include Data Visualization and Analytics (4 papers), Data Management and Algorithms (2 papers) and Calibration and Measurement Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (293 citations), Computer Graphics and Computer-Aided Design (39 citations) and Signal Processing (118 citations). G. Ellis has collaborated with scholars based in United Kingdom. Frequent co-authors include Alan Dix, Robert F. Dias and Dennis D. Coleman. Their work appears in journals such as IEEE Transactions on Visualization and Computer Graphics, Proceedings. Eighth International Conference on Information Visualisation, 2004. IV 2004. and Proceedings of the Annual Conference of CAIS / Actes du congrès annuel de l ACSI.
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.