World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
30808
World Ranking
2986
National Ranking
1465

Robert Leroy Mercer 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 Robert Leroy Mercer 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: 137 publications — 21st percentile

21% of scientists in this discipline score the same or lower.

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

Robert Leroy Mercer 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 Robert Leroy Mercer 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: 61 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Robert Leroy Mercer is affiliated with Renaissance Technologies in the United States. This association situates them within a prominent environment known for quantitative finance and algorithmic trading, indicating a career potentially focused on the application of advanced mathematical and computational methods.

There are no records of recent papers, frequent co-authors, or publication venues related to Mercer in the available data. Similarly, there is no specific information on book publications or a defined set of fields or subfields of study. The absence of such entries suggests that Mercer's contributions might be primarily practical or proprietary, possibly within industry rather than extensively documented in publicly accessible academic literature.

The source data does not list main topics of work or awards received. This may imply that Mercer's influence is exerted outside traditional academic recognition or that detailed scholarly information about their research and achievements is not readily available in public research databases.

Based on the available information, Mercer's professional profile is distinguished by an affiliation with a major player in quantitative finance, which is a field combining mathematics, statistics, computer science, and finance for predictive modeling and trading strategies. While specific publication and research metrics are not present, Mercer's role at Renaissance Technologies suggests a focus on practical implementation of scientific techniques in financial markets.

Best Publications

  • The mathematics of statistical machine translation: parameter estimation

    Peter F. Brown;Vincent J. Della Pietra;Stephen A. Della Pietra;Robert L. Mercer

  • Class-based n -gram models of natural language

    Peter F. Brown;Peter V. deSouza;Robert L. Mercer;Vincent J. Della Pietra

  • A statistical approach to machine translation

    Peter F. Brown;John Cocke;Stephen A. Della Pietra;Vincent J. Della Pietra

  • A Maximum Likelihood Approach to Continuous Speech Recognition

    Lalit R. Bahl;Frederick Jelinek;Robert L. Mercer

  • Maximum mutual information estimation of hidden Markov model parameters for speech recognition

    L. Bahl;P. Brown;P. de Souza;R. Mercer

  • System for parametric text to text language translation

    Peter Fitzhugh Brown;John Cocke;Stephen Andrew Della Pietra;Vincent Joseph Della Pietra

  • ALIGNING SENTENCES IN PARALLEL CORPORA

    Peter F. Brown;Jennifer C. Lai;Robert L. Mercer

  • WORD-SENSE DISAMBIGUATION USING STATISTICAL METHODS

    Peter F. Brown;Stephen A. Della Pietra;Vincent J. Della Pietra;Robert L. Mercer

  • Introduction to the special issue on computational linguistics using large corpora

    Kenneth W. Church;Robert L. Mercer

  • Speech recognition system

    Lalit Rai Bahl;Peter Vincent Desouza;Steven Vincent Degennaro;Robert Leroy Mercer

  • A tree-based statistical language model for natural language speech recognition

    L.R. Bahl;P.F. Brown;P.V. de Souza;R.L. Mercer

  • An estimate of an upper bound for the entropy of English

    Peter F. Brown;Vincent J. Della Pietra;Robert L. Mercer;Stephen A. Della Pietra

  • Design of a linguistic statistical decoder for the recognition of continuous speech

    F. Jelinek;L. Bahl;R. Mercer

  • Perplexity—a measure of the difficulty of speech recognition tasks

    F. Jelinek;R. L. Mercer;L. R. Bahl;J. K. Baker

  • Context based spelling correction

    Eric Mays;Fred J. Damerau;Robert L. Mercer

  • A statistical approach to language translation

    P. Brown;J. Cocke;S. Della Pietra;V. Della Pietra

  • Speech recognition system for natural language translation

    Peter F. Brown;Stephen A. Della Pietra;Vincent J. Della Pietra;Frederick Jelinek

  • Language translation apparatus and method using context-based translation models

    Adam L. Berger;Peter Fitzhugh Brown;Pietra Vincent Joseph Della;Pietra Stephen Andrew Della

  • Method and apparatus for the automatic determination of phonological rules as for a continuous speech recognition system

    Lalit Rai Bahl;Peter Fitzhugh Brown;Peter Vincent Desouza;Robert Leroy Mercer

  • Speech recognition apparatus which predicts word classes from context and words from word classes

    Peter Fitzhugh Brown;Stephen Andrew Della Pietra;Vincent Joseph Della Pietra;Robert Leroy Mercer

Frequent Co-Authors

Lalit R. Bahl
Lalit R. Bahl Renaissance Technologies
Frederick Jelinek
Frederick Jelinek Johns Hopkins University
Michael Picheny
Michael Picheny IBM (United States)
David Nahamoo
David Nahamoo Pyron Inc.
Salim Roukos
Salim Roukos IBM (United States)
John Lafferty
John Lafferty Yale University
Amir Averbuch
Amir Averbuch Tel Aviv University
Philip Resnik
Philip Resnik University of Maryland, College Park
Jan Hajič
Jan Hajič Charles University
Dimitri Kanevsky
Dimitri Kanevsky Google (United States)

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