World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9370
World Ranking
6176
National Ranking
2771

Val Tannen 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 Val Tannen 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: 202 publications — 47th percentile

47% of scientists in this discipline score the same or lower.

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

Val Tannen 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 Val Tannen 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: 48 D-Index — 58th percentile

58% 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

  • 2013 - ACM Fellow For contributions to query languages, query optimization and data provenance.

Overview

Val Tannen is affiliated with the University of Pennsylvania in the United States. Their research primarily spans the fields of Computer Science and Decision Sciences, with a significant focus on subfields such as Computer Networks and Communications, Artificial Intelligence, Information Systems and Management, Signal Processing, and Management Science and Operations Research.

Their research work encompasses several main topics, notably Scientific Computing and Data Management, Advanced Database Systems and Queries, Logic, Programming, and Type Systems, Distributed and Parallel Computing Systems, Software System Performance and Reliability, Distributed Systems and Fault Tolerance, and Semantic Web and Ontologies.

Val Tannen has contributed to multiple research papers published in various peer-reviewed venues. Some recent publications include:

  • DBSP: Automatic Incremental View Maintenance for Rich Query Languages, 2023, Proceedings of the VLDB Endowment
  • Semiring Provenance for Fixed-Point Logic, 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Evaluating Datalog over Semirings: A Grounding-based Approach, 2024, Proceedings of the ACM on Management of Data
  • Iterating on multiple collections in synchrony, 2022, Journal of Functional Programming
  • Generalizing Bulk-Synchronous Parallel Processing for Data Science: From Data to Threads and Agent-Based Simulations, 2023, Proceedings of the ACM on Management of Data

Their research has appeared frequently in venues such as Proceedings of the ACM on Management of Data, arXiv (Cornell University), Proceedings of the VLDB Endowment, Journal of Functional Programming, and Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

Val Tannen has collaborated with a recurring group of coauthors, including Mihai Budiu, Frank McSherry, Leonid Ryzhyk, Tej Chajed, and Hangdong Zhao.

In 2013, Val Tannen was recognized as an ACM Fellow for contributions to query languages, query optimization, and data provenance.

Best Publications

  • Provenance semirings

    Todd J. Green;Grigoris Karvounarakis;Val Tannen

  • The iPlant Collaborative: Cyberinfrastructure for Plant Biology.

    Stephen A Goff;Matthew Vaughn;Sheldon McKay;Eric Lyons

  • Models for Incomplete and Probabilistic Information.

    Todd J. Green;Val Tannen

  • Principles of programming with complex objects and collection types

    Peter Buneman;Shamim Naqvi;Val Tannen;Limsoon Wong

  • Inheritance as implicit coercion

    Val Breazu-Tannen;Thierry Coquand;Carl A. Gunter;Andre Scedrov

  • Comprehension syntax

    Peter Buneman;Leonid Libkin;Dan Suciu;Val Tannen

  • K2/Kleisli and GUS: experiments in integrated access to genomic data sources

    S. B. Davidson;J. Crabtree;B. P. Brunk;J. Schug

  • Inheritance and explicit coercion

    V. Breazu-Tannen;T. Coquand;C.A. Gunter;A. Scedrov

  • Querying data provenance

    Grigoris Karvounarakis;Zachary G. Ives;Val Tannen

  • Reformulation of XML Queries and Constraints

    Alin Deutsch;Val Tannen

  • Naturally Embedded Query Languages

    Val Tannen;Peter Buneman;Limsoon Wong

  • Update exchange with mappings and provenance

    Todd J. Green;Grigoris Karvounarakis;Zachary G. Ives;Val Tannen

  • Database programming in Machiavelli—a polymorphic language with static type inference

    Atsushi Ohori;Peter Buneman;Val Breazu-Tannen

  • Provenance for aggregate queries

    Yael Amsterdamer;Daniel Deutch;Val Tannen

  • Putting lipstick on pig: enabling database-style workflow provenance

    Yael Amsterdamer;Susan B. Davidson;Daniel Deutch;Tova Milo

  • MARS: a system for publishing XML from mixed and redundant storage

    Alin Deutsch;Val Tannen

  • Containment and Integrity Constraints for XPath Fragments

    Alin Deutsch;Val Tannen

  • Annotated XML: queries and provenance

    J. Nathan Foster;Todd J. Green;Val Tannen

  • The ORCHESTRA Collaborative Data Sharing System

    Zachary G. Ives;Todd J. Green;Grigoris Karvounarakis;Nicholas E. Taylor

  • Query reformulation with constraints

    Alin Deutsch;Lucian Popa;Val Tannen

  • Database Theory — ICDT '92

    Val Tannen;Peter Buneman;Limsoon Wong

  • Reconcilable differences

    Todd J. Green;Zachary G. Ives;Val Tannen

Frequent Co-Authors

Alin Deutsch
Alin Deutsch University of California, San Diego
Susan B. Davidson
Susan B. Davidson University of Pennsylvania
Zachary G. Ives
Zachary G. Ives University of Pennsylvania
Peter Buneman
Peter Buneman University of Edinburgh
Vassilis Christophides
Vassilis Christophides École Nationale Supérieure de l'Électronique et de ses Applications
Lucian Popa
Lucian Popa IBM (United States)
Tova Milo
Tova Milo Tel Aviv University
Sanjeev Khanna
Sanjeev Khanna University of Pennsylvania
Limsoon Wong
Limsoon Wong National University of Singapore
Erich Grädel
Erich Grädel RWTH Aachen University

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