World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4939
World Ranking
10890
National Ranking
4528

Research.com Recognitions

  • 1996 - Fellow of Alfred P. Sloan Foundation

Overview

What is he best known for?

The fields of study he is best known for:

  • Algorithm
  • Artificial intelligence
  • Combinatorics

Martin Farach mostly deals with Combinatorics, Discrete mathematics, String searching algorithm, Time complexity and Algorithm. Martin Farach regularly links together related areas like Longest common substring problem in his Combinatorics studies. His work carried out in the field of Discrete mathematics brings together such families of science as Tree and Distance matrix.

His String searching algorithm study combines topics from a wide range of disciplines, such as Analysis of algorithms and Suffix tree. Martin Farach combines subjects such as Tree, Data compression, Theoretical computer science and Substring index with his study of Time complexity. His work in Commentz-Walter algorithm tackles topics such as Algorithmics which are related to areas like Pattern matching and Matching.

His most cited work include:

  • Optimal suffix tree construction with large alphabets (372 citations)
  • Let Sleeping Files Lie (153 citations)
  • A robust model for finding optimal evolutionary trees (123 citations)

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

Martin Farach focuses on Combinatorics, Algorithm, Discrete mathematics, Matching and Theoretical computer science. Many of his studies involve connections with topics such as String searching algorithm and Combinatorics. His studies in String searching algorithm integrate themes in fields like Approximate string matching and Analysis of algorithms.

In his research on the topic of Algorithm, Data compression is strongly related with Compressed pattern matching. His biological study spans a wide range of topics, including Computational complexity theory, Distance matrix, Graph theory and Tree. His research in Matching intersects with topics in K-SVD and Pattern matching.

He most often published in these fields:

  • Combinatorics (47.27%)
  • Algorithm (30.91%)
  • Discrete mathematics (27.27%)

What were the highlights of his more recent work (between 1996-1999)?

  • Combinatorics (47.27%)
  • Algorithm (30.91%)
  • Approximation algorithm (10.91%)

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

His primary scientific interests are in Combinatorics, Algorithm, Approximation algorithm, Discrete mathematics and Theoretical computer science. His Combinatorics research integrates issues from String searching algorithm and Compressed suffix array. His studies deal with areas such as LCP array, Generalized suffix tree and Longest common substring problem as well as Compressed suffix array.

His work in Algorithm addresses subjects such as Compressed pattern matching, which are connected to disciplines such as Matching and Blossom algorithm. The concepts of his Approximation algorithm study are interwoven with issues in Distance matrix and Algorithmics. The study incorporates disciplines such as Tree, Graph theory and Pairwise comparison in addition to Discrete mathematics.

Between 1996 and 1999, his most popular works were:

  • Optimal suffix tree construction with large alphabets (372 citations)
  • On the Approximability of Numerical Taxonomy (Fitting Distances by Tree Metrics) (93 citations)
  • Local rules for protein folding on a triangular lattice and generalized hydrophobicity in the HP model (88 citations)

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

  • Algorithm
  • Artificial intelligence
  • Combinatorics

Martin Farach spends much of his time researching Combinatorics, Compressed suffix array, String searching algorithm, Protein sequencing and Crystal structure. He integrates Combinatorics and Norm in his research. His Compressed suffix array research is multidisciplinary, incorporating perspectives in LCP array, Generalized suffix tree and Longest common substring problem.

He has included themes like Time complexity, Data compression, Approximate string matching and Dictionary coder in his String searching algorithm study. He integrates many fields in his works, including Protein sequencing, Hexagonal lattice and Polar.

Best Publications

  • Optimal suffix tree construction with large alphabets

    M. Farach

  • String matching in Lempel-Ziv compressed strings

    Martin Farach;Mikkel Thorup

  • A robust model for finding optimal evolutionary trees

    Martin Farach;Sampath Kannan;Tandy J. Warnow

  • On the Approximability of Numerical Taxonomy (Fitting Distances by Tree Metrics)

    Richa Agarwala;Vineet Bafna;Martin Farach;Mike Paterson

  • Let Sleeping Files Lie

    Amihood Amir;Gary Benson;Martin Farach

  • On the approximability of numerical taxonomy (fitting distances by tree metrics)

    Richa Agarwala;Vineet Bafna;Martin Farach;Babu Narayanan

  • Optimal superprimitivity testing for strings

    Alberto Apostolico;Alberto Apostolico;Martin Farach;Costas S. Iliopoulos

  • Local rules for protein folding on a triangular lattice and generalized hydrophobicity in the HP model.

    Richa Agarwala;Serafim Batzoglou;Vlado Dancík;Scott E. Decatur

  • Improved Dynamic Dictionary Matching

    A. Amir;M. Farach;R.M. Idury;J.A. Lapoutre

  • On the agreement of many trees

    Martin Farach;Teresa M. Przytycka;Mikkel Thorup

  • Dynamic dictionary matching

    Amihood Amir;Martin Farach;Zvi Galil;Raffaele Giancarlo

  • Local rules for protein folding on a triangular lattice and generalized hydrophobicity in the HP model

    Richa Agarwala;Serafim Batzoglou;Vlado Dančík;Scott E. Decatur

  • Group testing problems with sequences in experimental molecular biology

    M. Farach;S. Kannan;E. Knill;S. Muthukrishnan

  • Alphabet dependence in parameterized matching

    Amihood Amir;Martin Farach;S. Muthukrishnan

  • On the entropy of DNA: algorithms and measurements based on memory and rapid convergence

    Martin Farach;Michiel Noordewier;Serap Savari;Larry Shepp

  • An Alphabet Independent Approach to Two-Dimensional Pattern Matching

    Amihood Amir;Gary Benson;Martin Farach

  • Generating plausible diagnostic hypotheses with self-processing causal networks

    Jonathan Wald;Martin Farach;Malle Tagamets;James A. Reggia

  • Fast comparison of evolutionary trees

    Martin Farach;Mikkel Thorup

  • Adaptive dictionary matching

    A. Amir;M. Farach

  • Alphabet independent two dimensional matching

    Amihood Amir;Gary Benson;Martin Farach

  • Let sleeping files lie: pattern matching in Z-compressed files

    Amihood Amir;Gary Benson;Martin Farach

  • Improved dynamic dictionary matching

    Amihood Amir;Martin Farach;Ramana M. Idury;Johannes A. La Poutré

Frequent Co-Authors

Amihood Amir
Amihood Amir Bar-Ilan University
Mikkel Thorup
Mikkel Thorup University of Copenhagen
Sampath Kannan
Sampath Kannan University of Pennsylvania
Serafim Batzoglou
Serafim Batzoglou Stanford University
Sridhar Hannenhalli
Sridhar Hannenhalli National Institutes of Health
Subbaratnam Muthukrishnan
Subbaratnam Muthukrishnan Kansas State University
Steven Skiena
Steven Skiena Stony Brook University
Tandy Warnow
Tandy Warnow University of Illinois at Urbana-Champaign
Vineet Bafna
Vineet Bafna University of California, San Diego
Alejandro A. Schäffer
Alejandro A. Schäffer National Institutes of Health

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