Mark Clement

13.3k citations
89 papers · 10.2k indexed · 2 hit papers · h-index 16

Mark Clement

81 papers receiving 9.9k citations

Hit Papers

TCS: estimating gene genealogies60720002026200820172.5k5.0k7.5k

Peers

Mark Clement
Comparison fields: 5 of 152
  • Ecological Modeling 854
  • Genetics 4.9k
  • Ecology 3.6k
  • Ecology, Evolution, Behavior and Systematics 2.7k
  • Nature and Landscape Conservation 1.6k
Replace Chris Duran with:
Chris Duran Australia
Shane Sturrock United Kingdom
Peter Meintjes New Zealand
Steven Stones-Havas United States
Shelley L. Ball Canada
Alina Cywinska Canada
Peter Beerli United States
Brett Calcott Australia
Patrick Forster Germany
Pablo Librado Spain
Mark Clement relative to Chris Duran Australia Chris Duran's profile →
Citations per field
00.5×1.7×
Chris Duran · 1×
Citations per year

Countries citing papers authored by Mark Clement

Since Specialization
Citations

This map shows the geographic impact of Mark Clement'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 Clement with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Clement more than expected).

Fields of papers citing papers by Mark Clement

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Clement. 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 Clement. The network helps show where Mark Clement may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Mark Clement, 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 Clement Line = papers co-authored together Mark Clement links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 202147
3 20207
4 201612
5 201617
6 20141
7 201311
8 20136
9 20131
10 2013104
11 20121
12 201248
13 20102
14
Incomparability of Results Between Phylogenetic Search Programs.
20084
15 20071
16 20072
17 20065
18
The DOGMA approach to parallel and distributed computing
20011
19 20007
20 19991

About Mark Clement

Mark Clement is a scholar working on Hardware and Architecture, Computer Networks and Communications, Genetics, Molecular Biology and Information Systems, having authored 89 papers that have together received 10.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (36 papers), Parallel Computing and Optimization Techniques (20 papers), Distributed and Parallel Computing Systems (14 papers), Genetic diversity and population structure (13 papers), Cloud Computing and Resource Management (11 papers), RNA and protein synthesis mechanisms (10 papers), Machine Learning in Bioinformatics (9 papers) and Chromosomal and Genetic Variations (8 papers). The work is most often cited by research in Ecological Modeling (854 citations), Genetics (4.9k citations), Ecology (3.6k citations), Ecology, Evolution, Behavior and Systematics (2.7k citations) and Nature and Landscape Conservation (1.6k citations). Mark Clement has collaborated with scholars based in United States, United Kingdom and Qatar. Frequent co-authors include Keith A. Crandall, David Posada, Quinn Snell, Michael J. Quinn, Seth Bybee, Heather D. Bracken‐Grissom, Russell A. Hermansen, Mao Fujimoto, Richard Byers and Edward R. Wilcox. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, BMC Genomics, Molecular Ecology and Molecular Plant-Microbe Interactions.

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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2026