Mark Howison
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- Computer Graphics and Visualization Techniques 5
- Paleontology top 5%
- Hardware and Architecture top 5%
- Virology top 10%
- HIV Research and Treatment 15
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- Advanced Data Storage Technologies 8
- Distributed and Parallel Computing Systems 5
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- HIV/AIDS Research and Interventions 13
- HIV/AIDS drug development and treatment 6
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- Genomics and Phylogenetic Studies 10
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- HIV, Drug Use, Sexual Risk 7
- Co-authors
- Felipe ZapataCasey W. DunnE. Wes BethelHank ChildsFreya GoetzDaniel L. ReinholzDragan TrninićDor Abrahamson
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Mark Howison
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 138
- Computer Graphics and Computer-Aided Design 92
- Paleontology 191
- Hardware and Architecture 150
- Virology 79
- Computer Networks and Communications 296
Countries citing papers authored by Mark Howison
This map shows the geographic impact of Mark Howison'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 Mark Howison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Howison more than expected).
Fields of papers citing papers by Mark Howison
This network shows the impact of papers produced by Mark Howison. 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 Mark Howison. The network helps show where Mark Howison may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark Howison, 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 | 2024 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2022 | 23 | |
| 7 | 2022 | 1 | |
| 8 | 2022 | 6 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 3 | |
| 11 | 2020 | 18 | |
| 12 | 2018 | 20 | |
| 13 | 2018 | 23 | |
| 14 | 2015 | 142 | |
| 15 | 2014 | 5 | |
| 16 | Agalma: an automated phylogenomics workflow | 2013 | 102 |
| 17 | 2013 | 27 | |
| 18 | 2012 | 49 | |
| 19 | MPI-hybrid Parallelism for Volume Rendering on Large, Multi-core Systems | 2010 | 1 |
| 20 | A Generalized Framework for Auto-tuning Stencil Computations | 2009 | 23 |
About Mark Howison
Mark Howison is a scholar working on Virology, Computer Graphics and Computer-Aided Design, Infectious Diseases, Paleontology and Information Systems and Management, having authored 61 papers that have together received 1.2k indexed citations. Recurring topics across this work include HIV Research and Treatment (15 papers), HIV/AIDS Research and Interventions (13 papers), Genomics and Phylogenetic Studies (10 papers), Advanced Data Storage Technologies (8 papers), HIV, Drug Use, Sexual Risk (7 papers), HIV/AIDS drug development and treatment (6 papers), Computer Graphics and Visualization Techniques (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (92 citations), Paleontology (191 citations), Hardware and Architecture (150 citations), Virology (79 citations) and Computer Networks and Communications (296 citations). Mark Howison has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Felipe Zapata, Casey W. Dunn, E. Wes Bethel, Hank Childs, Freya Goetz, Daniel L. Reinholz, Dragan Trninić, Dor Abrahamson, Prabhat and John Shalf. Their work appears in journals such as Open Forum Infectious Diseases, AIDS, PLoS ONE, Proceedings of the Royal Society B Biological Sciences and Bioinformatics.
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.