Graham Markall
Impact in
- Hardware and Architecture top 5%
- Parallel Computing and Optimization Techniques
Papers in
-
- Parallel Computing and Optimization Techniques 8
- Embedded Systems Design Techniques 1
-
- Advanced Data Storage Technologies 5
- Distributed and Parallel Computing Systems 4
- Co-authors
- Paul H. J. Kelly (6 shared papers)David A. Ham (7 shared papers)Spencer J. Sherwin (1 shared paper)Chris D. Cantwell (1 shared paper)Gihan R. Mudalige (2 shared papers)Michael B. Giles (2 shared papers)Lawrence Mitchell (4 shared papers)Nicolas Loriant (1 shared paper)
- Journals
- ACM SIGMETRICS Performance Evaluation Review (1 paper)International Journal for Numerical Methods in Fluids (1 paper)The Computer Journal (1 paper)Procedia Computer Science (1 paper)AIP conference proceedings (1 paper)
- Partner nations
- United KingdomUnited StatesNorway
In The Last Decade
Graham Markall
11 papers receiving 212 citations
Peers
Comparison fields: 5 of 43
- Hardware and Architecture 104
- Computer Graphics and Computer-Aided Design 24
- Computational Mechanics 108
- Computer Networks and Communications 85
- Computational Theory and Mathematics 42
Countries citing papers authored by Graham Markall
This map shows the geographic impact of Graham Markall'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 Graham Markall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Graham Markall more than expected).
Fields of papers citing papers by Graham Markall
This network shows the impact of papers produced by Graham Markall. 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 Graham Markall. The network helps show where Graham Markall may publish in the future.
Co-authors
The 21 scholars most cited alongside Graham Markall, 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 | 2012 | 75 | |
| 2 | 2012 | 32 | |
| 3 | 2010 | 31 | |
| 4 | 2011 | 28 | |
| 5 | 2011 | 26 | |
| 6 | 2016 | 10 | |
| 7 | 2016 | 8 | |
| 8 | Accelerating Unstructured Mesh Computational Fluid Dynamics on the NVidia Tesla GPU Architecture | 2011 | 3 |
| 9 | 2010 | 2 | |
| 10 | 2023 | 2 | |
| 11 | 2018 | 1 |
About Graham Markall
Graham Markall is a scholar working on Hardware and Architecture, Computer Networks and Communications, Computational Mechanics, Computer Graphics and Computer-Aided Design and Atomic and Molecular Physics, and Optics, having authored 11 papers that have together received 218 indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (8 papers), Advanced Data Storage Technologies (5 papers), Distributed and Parallel Computing Systems (4 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Computational Geometry and Mesh Generation (2 papers), Electromagnetic Scattering and Analysis (1 paper), Data Management and Algorithms (1 paper) and Embedded Systems Design Techniques (1 paper). The work is most often cited by research in Hardware and Architecture (104 citations), Computer Graphics and Computer-Aided Design (24 citations), Computational Mechanics (108 citations), Computer Networks and Communications (85 citations) and Computational Theory and Mathematics (42 citations). Graham Markall has collaborated with scholars based in United Kingdom, United States and Norway. Frequent co-authors include Paul H. J. Kelly, David A. Ham, Spencer J. Sherwin, Chris D. Cantwell, Gihan R. Mudalige, Michael B. Giles, Lawrence Mitchell, Nicolas Loriant, Carlo Bertolli and Fabio Luporini. Their work appears in journals such as ACM SIGMETRICS Performance Evaluation Review, International Journal for Numerical Methods in Fluids, The Computer Journal, Procedia Computer Science and AIP conference proceedings.
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.