Mark Howison

2.2k citations
61 papers · 1.2k · h-index 20

Impact in

Papers in

    • HIV/AIDS Research and Interventions 13
    • HIV/AIDS drug development and treatment 6
    • HIV Research and Treatment 15

Mark Howison

57 papers receiving 1.2k citations

Peers

Mark Howison
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
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Citations per field
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Citations per year

Countries citing papers authored by Mark Howison

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Mark Howison Line = papers co-authored together Mark Howison links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 61 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015142
2 2014141
3
Agalma: an automated phylogenomics workflow
2013102
4 201186
5 201159
6 201051
7 201251
8 201249
9
Tuning HDF5 for Lustre File Systems
201049
10 202038
11 201037
12 201135
13 201029
14 201829
15 201327
16 202223
17
A Generalized Framework for Auto-tuning Stencil Computations
200923
18 201823
19 201820
20
It's Not Easy Being Green: Embodied Artifacts and the Guided Emergence of Mathematical Meaning
201019

About Mark Howison

Mark Howison is a scholar working on Infectious Diseases, Virology, Molecular Biology, Computer Networks and Communications and Epidemiology, 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), Distributed and Parallel Computing Systems (5 papers) and Computer Graphics and Visualization Techniques (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, Freya Goetz, Hank Childs, Dor Abrahamson, Daniel L. Reinholz, Dragan Trninić, Prabhat and Justine Hastings. 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.

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