Mark Clement

13.3k total citations · 2 hit papers
89 papers, 10.2k citations indexed

About

Mark Clement is a scholar working on Molecular Biology, Computer Networks and Communications and Hardware and Architecture. According to data from OpenAlex, Mark Clement has authored 89 papers receiving a total of 10.2k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Molecular Biology, 25 papers in Computer Networks and Communications and 20 papers in Hardware and Architecture. Recurrent topics in Mark Clement's work include Genomics and Phylogenetic Studies (36 papers), Parallel Computing and Optimization Techniques (20 papers) and Distributed and Parallel Computing Systems (14 papers). Mark Clement is often cited by papers focused on Genomics and Phylogenetic Studies (36 papers), Parallel Computing and Optimization Techniques (20 papers) and Distributed and Parallel Computing Systems (14 papers). Mark Clement collaborates with scholars based in United States, United Kingdom and France. Mark Clement's co-authors include Keith A. Crandall, David Posada, Quinn Snell, Michael J. Quinn, Seth Bybee, Heather D. Bracken‐Grissom, Russell A. Hermansen, Mao Fujimoto, Joshua A. Udall and Richard Byers and has published in prestigious journals such as Bioinformatics, Genome Research and Molecular Ecology.

In The Last Decade

Mark Clement

81 papers receiving 9.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

TCS: a computer program to estimate gene genealogies

2000 8.7k citations Mark Clement, Keith A. Crandall et al. profile →
TCS: estimating gene genealogies

2002 607 citations Mark Clement, Quinn Snell et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Mark Clement United States	16	4.9k	3.6k	2.7k	2.6k	1.7k	89	10.2k
Brett Calcott Australia	13	3.3k 0.7×	2.5k 0.7×	4.0k 1.5×	3.0k 1.1×	1.5k 0.9×	21	9.9k
Peter Beerli United States	33	6.2k 1.3×	3.2k 0.9×	2.9k 1.1×	2.3k 0.9×	1.2k 0.7×	65	10.5k
Barbara K. Mable United Kingdom	35	3.1k 0.6×	2.0k 0.6×	2.2k 0.8×	3.0k 1.1×	1.9k 1.1×	95	7.8k
David R. Maddison United States	33	3.3k 0.7×	2.8k 0.8×	6.2k 2.3×	3.6k 1.4×	2.2k 1.3×	86	12.7k
Heidi E. L. Lischer Switzerland	14	9.1k 1.9×	4.3k 1.2×	2.5k 0.9×	3.9k 1.5×	2.1k 1.2×	24	14.7k
Patrick Forster Germany	7	5.4k 1.1×	3.0k 0.8×	1.7k 0.6×	2.5k 0.9×	1.1k 0.6×	20	9.5k
Shelley L. Ball Canada	13	3.2k 0.7×	4.2k 1.2×	3.3k 1.2×	4.7k 1.8×	1.3k 0.8×	16	11.0k
Alina Cywinska Canada	8	3.0k 0.6×	3.8k 1.1×	2.9k 1.1×	4.4k 1.7×	1.2k 0.7×	8	10.3k
Oscar E. Gaggiotti United Kingdom	41	6.7k 1.4×	3.8k 1.1×	1.8k 0.7×	1.9k 0.7×	964 0.6×	86	10.4k
Joseph Heled New Zealand	12	3.9k 0.8×	2.1k 0.6×	2.7k 1.0×	2.9k 1.1×	1.1k 0.7×	14	8.6k

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 of co-authors of Mark Clement

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Clement. A scholar is included among the top collaborators of Mark Clement based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Clement. Mark Clement is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

1.

Clement, Mark, et al.. (2023). CENSUS-HWR: A Large Training Dataset for Offline Handwriting Recognition. 25. 592–597. 1 indexed citations

2.

Suvorov, Anton, Céline Scornavacca, Mao Fujimoto, et al.. (2021). Deep Ancestral Introgression Shapes Evolutionary History of Dragonflies and Damselflies. Systematic Biology. 71(3). 526–546. 47 indexed citations

3.

Jensen, Tanner, et al.. (2018). The PepSeq Pipeline. 2. 139–144. 1 indexed citations

4.

Bodily, Paul, Mao Fujimoto, Justin T. Page, et al.. (2016). A novel approach for multi-SNP GWAS and its application in Alzheimer’s disease. BMC Bioinformatics. 17(S7). 268–268. 12 indexed citations

5.

Fujimoto, Mao, Anton Suvorov, Nicholas O. Jensen, Mark Clement, & Seth Bybee. (2016). Detecting false positive sequence homology: a machine learning approach. BMC Bioinformatics. 17(1). 101–101. 17 indexed citations

6.

Bodily, Paul, et al.. (2015). Heterozygous genome assembly via binary classification of homologous sequence. BMC Bioinformatics. 16(S7). S5–S5. 13 indexed citations

7.

Clement, Mark, et al.. (2014). A structured approach to ensemble learning for Alzheimer's disease prediction. 605–606. 2 indexed citations

8.

Blazek, J, et al.. (2013). Non‐trisomic homeobox gene expression during craniofacial development in the Ts65Dn mouse model of Down syndrome. American Journal of Medical Genetics Part A. 161(8). 1866–1874. 11 indexed citations

9.

Bodily, Paul, et al.. (2013). Application of a MAX-CUT Heuristic to the Contig Orientation Problem in Genome Assembly. 476–483. 1 indexed citations

10.

Hong, Changjin, Saher Sue Hammoud, Douglas T. Carrell, et al.. (2013). Probabilistic alignment leads to improved accuracy and read coverage for bisulfite sequencing data. BMC Bioinformatics. 14(1). 337–337. 6 indexed citations

11.

Crook, Matthew B., Daniel Lindsay, Matthew B. Biggs, et al.. (2012). Rhizobial Plasmids That Cause Impaired Symbiotic Nitrogen Fixation and Enhanced Host Invasion. Molecular Plant-Microbe Interactions. 25(8). 1026–1033. 48 indexed citations

12.

O’Connor, Timothy D., et al.. (2010). Analysis of long branch extraction and long branch shortening. BMC Genomics. 11(Suppl 2). S14–S14. 14 indexed citations

13.

Snell, Quinn, et al.. (2008). Incomparability of Results Between Phylogenetic Search Programs.. 81–84. 4 indexed citations

14.

Rungta, Neha, et al.. (2007). Analyzing Gene Relationships for Down Syndrome with Labeled Transition Graphs. 216–219. 1 indexed citations

15.

Clement, Mark, et al.. (2007). PSODA: Better Tasting and Less Filling Than PAUP. ScholarsArchive (Brigham Young University). 3 indexed citations

16.

O’Connor, Timothy D., et al.. (2007). Using Parsimony to Guide Maximum Likelihood Searches. ScholarsArchive (Brigham Young University). 44. 774–779. 2 indexed citations

17.

Snell, Quinn, Glenn Judd, & Mark Clement. (2001). The DOGMA approach to parallel and distributed computing. Cluster Computing. 23–34. 1 indexed citations

18.

Snell, Quinn, et al.. (2001). The YGuard access control model. 75–84. 4 indexed citations

19.

Snell, Quinn, Michael F. Whiting, Mark Clement, & David W. McLaughlin. (2000). Parallel Phylogenetic Inference. Conference on High Performance Computing (Supercomputing). 35–35. 7 indexed citations

20.

Snell, Quinn, Glenn Judd, & Mark Clement. (1999). The DOGMA Approach to Parallel and Distributed Computing. Scalable Computing Practice and Experience. 2(2). 1 indexed citations

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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