World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
37
Citations
4939
World Ranking
10888
National Ranking
4528

Martin Farach publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Martin Farach sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 50 publications — 1st percentile

1% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Martin Farach D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Martin Farach sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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