Mark Clement

13.5k citations
99 papers · 11.0k · 1 hit paper · h-index 19

Impact in

Papers in

Mark Clement

93 papers receiving 10.6k citations

Mark Clement's Hit Papers

TCS: a computer program to estimate gene genealogies 2000 · 8.8k citations
8.8k0+8+17Years since publication2.5k5.0k7.5k

Peers

Mark Clement
Comparison fields: 5 of 155
  • Ecological Modeling 830
  • Genetics 4.8k
  • Ecology 3.5k
  • Ecology, Evolution, Behavior and Systematics 2.6k
  • Nature and Landscape Conservation 1.6k
Replace Ramón Doallo with:
Ramón Doallo Spain
Guillermo L. Taboada Spain
Alina Cywinska Canada
Shelley L. Ball Canada
Barbara K. Mable United Kingdom
Patrick Forster Germany
Oscar E. Gaggiotti United Kingdom
H. -J. Bandelt Germany
Remco Bouckaert New Zealand
Joseph Heled New Zealand
Mark Clement relative to Ramón Doallo Spain Ramón Doallo's profile →
Citations per field
00.5×1.5×
Ramón Doallo · 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-authors

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

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
TCS: a computer program to estimate gene genealogies
Hit paper breakdown →
20008802
2 2002667
3 2001279
4 2011173
5 200093
6 199366
7 200666
8 201565
9 202158
10 200756
11 200955
12 201252
13
Exome sequencing and unrelated findings in the context of complex disease research: ethical and clinical implications.
201149
14 199832
15 199931
16 201631
17 200230
18 200223
19 201121
20 201619

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 99 papers that have together received 11.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (31 papers), Parallel Computing and Optimization Techniques (24 papers), Distributed and Parallel Computing Systems (19 papers), Genetic diversity and population structure (14 papers), Cloud Computing and Resource Management (12 papers), RNA and protein synthesis mechanisms (8 papers), Machine Learning in Bioinformatics (8 papers) and Advanced Data Storage Technologies (6 papers). The work is most often cited by research in Ecological Modeling (830 citations), Genetics (4.8k citations), Ecology (3.5k citations), Ecology, Evolution, Behavior and Systematics (2.6k citations) and Nature and Landscape Conservation (1.6k citations). Mark Clement has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include Keith A. Crandall, David Posada, Quinn O. Snell, David Jackson, Michael J. Quinn, Seth Bybee, Heather D. Bracken‐Grissom, Russell A. Hermansen, Mao Fujimoto and Glenn Judd. Their work appears in journals such as BMC Bioinformatics, Bioinformatics, Molecular Ecology, Algorithms for Molecular Biology and Journal of Religious History.

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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