D-Index & Metrics Best Publications

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 46 Citations 7,782 163 World Ranking 4432 National Ranking 104

Research.com Recognitions

Awards & Achievements

2018 - Fellow of the International Society for Computational Biology

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Statistics
  • Artificial intelligence

His primary scientific interests are in Algorithm, Phylogenetic tree, Data mining, Theoretical computer science and Computational biology. Bernard M. E. Moret has researched Algorithm in several fields, including Power, Combinatorics, Mathematical optimization, Fault and Median. His Phylogenetic tree study integrates concerns from other disciplines, such as Evolutionary biology, Phylogenetics and Tree.

His studies in Data mining integrate themes in fields like Tree and Gene. His biological study spans a wide range of topics, including Range and Genome evolution, Genome. Bernard M. E. Moret combines subjects such as Dynamical systems theory and System identification with his study of Theoretical computer science.

His most cited work include:

  • How many bootstrap replicates are necessary (497 citations)
  • A linear-time algorithm for computing inversion distance between signed permutations with an experimental study. (331 citations)
  • Decision Trees and Diagrams (275 citations)

What are the main themes of his work throughout his whole career to date?

Bernard M. E. Moret mainly focuses on Genome, Phylogenetic tree, Phylogenetics, Algorithm and Genetics. His studies deal with areas such as Evolutionary biology, Gene rearrangement and Computational biology as well as Genome. His Phylogenetic tree research is multidisciplinary, relying on both Tree, Inference, Artificial intelligence and Data mining.

His Phylogenetics study incorporates themes from Bioinformatics and Genomics. Bernard M. E. Moret works mostly in the field of Algorithm, limiting it down to topics relating to Permutation and, in certain cases, Randomized algorithm, as a part of the same area of interest. His work in the fields of Cellular differentiation overlaps with other areas such as Epigenomics.

He most often published in these fields:

  • Genome (30.27%)
  • Phylogenetic tree (26.49%)
  • Phylogenetics (21.62%)

What were the highlights of his more recent work (between 2012-2018)?

  • Genome (30.27%)
  • Genetics (21.62%)
  • Computational biology (17.30%)

In recent papers he was focusing on the following fields of study:

Bernard M. E. Moret mostly deals with Genome, Genetics, Computational biology, Theoretical computer science and Comparative genomics. His Segmental duplication study in the realm of Genome connects with subjects such as Optimal trajectory. His study on Phylogenetics and Cellular differentiation is often connected to Epigenomics as part of broader study in Genetics.

The study incorporates disciplines such as Synteny and Gene, Phylogenetic tree in addition to Computational biology. Bernard M. E. Moret usually deals with Phylogenetic tree and limits it to topics linked to Inference and Spite and Discrete mathematics. His studies in Theoretical computer science integrate themes in fields like Time complexity and Exact algorithm.

Between 2012 and 2018, his most popular works were:

  • Evaluating synteny for improved comparative studies (61 citations)
  • An Exact Algorithm to Compute the Double-Cut-and-Join Distance for Genomes with Duplicate Genes. (26 citations)
  • An Exact Algorithm to Compute the DCJ Distance for Genomes with Duplicate Genes (24 citations)

In his most recent research, the most cited papers focused on:

  • Algorithm
  • Artificial intelligence
  • Statistics

His scientific interests lie mostly in Edit distance, Genome, Exact algorithm, Segmental duplication and Algorithm. His biological study spans a wide range of topics, including Basis, Genome evolution, Theoretical computer science, Time complexity and Preprocessor. His Basis research incorporates themes from Integer programming and Orthologous Gene.

His study looks at the relationship between Segmental duplication and topics such as Linear programming, which overlap with Pairwise comparison. His Pairwise comparison study integrates concerns from other disciplines, such as Comparative genomics, Genomics, Leverage and Identification. Bernard M. E. Moret undertakes multidisciplinary studies into Algorithm and Integer in his work.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

A linear-time algorithm for computing inversion distance between signed permutations with an experimental study.

David A. Bader;Bernard M. E. Moret;Mi Yan.
Journal of Computational Biology (2001)

1021 Citations

How many bootstrap replicates are necessary

Nicholas D Pattengale;Masoud Alipour;Olaf R P Bininda-Emonds;Bernard M E Moret.
Journal of Computational Biology (2010)

897 Citations

Decision Trees and Diagrams

Bernard M. E. Moret.
ACM Computing Surveys (1982)

465 Citations

Phylogenetic Networks: Modeling, Reconstructibility, and Accuracy

B.M.E. Moret;L. Nakhleh;T. Warnow;C.R. Linder.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2004)

229 Citations

Algorithms from P to NP (vol. 1): design and efficiency

Bernard M. E. Moret;Henry D. Shapiro.
(1991)

224 Citations

A new implementation and detailed study of breakpoint analysis.

Bernard M. E. Moret;Stacia K. Wyman;David A. Bader;Tandy J. Warnow.
pacific symposium on biocomputing (2000)

205 Citations

New approaches for reconstructing phylogenies from gene order data

Bernard M. E. Moret;Li-San Wang;Tandy J. Warnow;Stacia K. Wyman.
intelligent systems in molecular biology (2001)

198 Citations

An empirical analysis of algorithms for constructing a minimum spanning tree

Bernard M. E. Moret;Henry D. Shapiro.
workshop on algorithms and data structures (1991)

173 Citations

Steps toward accurate reconstructions of phylogenies from gene-order data

Bernard M. E. Moret;Jijun Tang;Li-San Wang;Tandy Warnow.
Journal of Computer and System Sciences (2002)

156 Citations

Towards a discipline of experimental algorithmics

Bernard M. E. Moret.
Data structures, near neighbor searches, and methodology (2002)

141 Citations

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