World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
51
Citations
13208
World Ranking
5261
National Ranking
2424

Laura M. Haas 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 Laura M. Haas 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: 114 publications — 13th percentile

13% of scientists in this discipline score the same or lower.

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

Laura M. Haas 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 Laura M. Haas 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: 51 D-Index — 63rd percentile

63% 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

  • 2015 - Fellow of the American Academy of Arts and Sciences
  • 2010 - Member of the National Academy of Engineering For innovations in the design and implementation of systems for information integration.
  • 2006 - ACM Fellow For research leadership, and contributions to federated database systems.

Overview

Laura M. Haas is a researcher affiliated with the University of Massachusetts Amherst in the United States. The scope of their scholarly work primarily encompasses the field of Dentistry, with a focus on several related subfields such as Orthodontics, Oral Surgery, Space and Planetary Science, Biomedical Engineering, and Public Health, Environmental and Occupational Health.

Their research topics include:

  • Dental materials and restorations
  • Dental Implant Techniques and Outcomes
  • Archaeological Research and Protection
  • Endodontics and Root Canal Treatments
  • Anatomy and Medical Technology
  • Digital Imaging in Medicine

Among their recent publications are:

  • "Restaurationen: Metall oder Keramik?" (2023) in Die junge Zahnmedizin
  • "Postendodontischer Workflow" (2023) published in Der Freie Zahnarzt
  • "Probetragen von festsitzendem Zahnersatz" (2024) in Die junge Zahnmedizin

Other related papers from collaborators include:

  • "Influence of cement type, excess removal, and polishing on the cement joint." (2024) in PubMed, authored by Georg Beierlein
  • "Influence of fabrication settings on the in-vitro performance of subtractively manufactured resin-based molar crowns" (2023) in The International Journal of Prosthodontics, authored by Martin Rosentritt

Frequent collaborators listed in their network include:

  • Sebastian Hahnel
  • Martin Rosentritt
  • Angelika Rauch
  • Georg Beierlein
  • Michael Schmidt

The key publication venues associated with this researcher's output are:

  • Die junge Zahnmedizin
  • The International Journal of Prosthodontics
  • PubMed
  • Der Freie Zahnarzt

Laura M. Haas has been recognized with several professional distinctions, including being named a Fellow of the American Academy of Arts and Sciences in 2015. They were also inducted as a Member of the National Academy of Engineering in 2010 for innovations in the design and implementation of systems for information integration. Additionally, they are an ACM Fellow since 2006, acknowledged for research leadership and contributions to federated database systems.

Best Publications

  • Apparatus, system, and method for database provisioning

    Enzo Cialini;Laura Myers Haas;Balakrishna Raghavendra Iyer;Allen William Luniewski

  • Schema Mapping as Query Discovery

    Renée J. Miller;Laura M. Haas;Mauricio A. Hernández

  • Optimizing Queries Across Diverse Data Sources

    Laura M. Haas;Donald Kossmann;Edward L. Wimmers;Jun Yang

  • Towards heterogeneous multimedia information systems: the Garlic approach

    M.J. Carey;L.M. Haas;P.M. Schwarz;M. Arya

  • Distributed deadlock detection

    K. Mani Chandy;Jayadev Misra;Laura M. Haas

  • The Clio project: managing heterogeneity

    Renée J. Miller;Mauricio A. Hernández;Laura M. Haas;Lingling Yan

  • Extensible query processing in starburst

    L. M. Haas;J. C. Freytag;G. M. Lohman;H. Pirahesh

  • Information integration in the enterprise

    Philip A. Bernstein;Laura M. Haas

  • DiscoveryLink: a system for integrated access to life sciences data sources

    L. M. Haas;P. M. Schwarz;P. Kodali;E. Kotlar

  • Clio grows up: from research prototype to industrial tool

    Laura M. Haas;Mauricio A. Hernández;Howard Ho;Lucian Popa

  • Starburst mid-flight: as the dust clears (database project)

    L.M. Haas;W. Chang;G.M. Lohman;J. McPherson

  • The Claremont report on database research

    Rakesh Agrawal;Anastasia Ailamaki;Philip A. Bernstein;Eric A. Brewer

  • Transforming Heterogeneous Data with Database Middleware: Beyond Integration.

    Laura M. Haas;Renée J. Miller;B. Niswonger;Mary Tork Roth

  • Data-driven understanding and refinement of schema mappings

    Ling Ling Yan;Renée J. Miller;Laura M. Haas;Ronald Fagin

  • Clio: Schema Mapping Creation and Data Exchange

    Ronald Fagin;Laura M. Haas;Mauricio Hernández;Renée J. Miller

  • Data integration through database federation

    L. M. Haas;E. T. Lin;M. A. Roth

  • A snapshot differential refresh algorithm

    Bruce Lindsay;Laura Haas;C. Mohan;Hamid Pirahesh

  • The Claremont report on database research

    Rakesh Agrawal;Anastasia Ailamaki;Philip A. Bernstein;Eric A. Brewer

  • The Lowell database research self-assessment

    Serge Abiteboul;Rakesh Agrawal;Phil Bernstein;Mike Carey

  • The Beckman report on database research

    Daniel Abadi;Rakesh Agrawal;Anastasia Ailamaki;Magdalena Balazinska

  • KLEE: A Framework for Distributed Top-k Query Algorithms

    Sebastian Michel;Peter Triantafillou;Gerhard Weikum;Klemens Böhm

Frequent Co-Authors

Michael J. Carey
Michael J. Carey University of California, Irvine
Bruce G. Lindsay
Bruce G. Lindsay IBM (United States)
Renée J. Miller
Renée J. Miller University of Toronto
Michael J. Franklin
Michael J. Franklin University of Chicago
Beng Chin Ooi
Beng Chin Ooi National University of Singapore
Donald Kossmann
Donald Kossmann Microsoft (United States)
Philip A. Bernstein
Philip A. Bernstein Microsoft (United States)
Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Martin L. Kersten
Martin L. Kersten Centrum Wiskunde & Informatica
Alon Halevy
Alon Halevy Facebook (United States)

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