World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
30
Citations
4133
World Ranking
14058
National Ranking
225

Walter Binder 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 Walter Binder 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: 332 publications — 79th percentile

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

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

Walter Binder 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 Walter Binder 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: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Overview

Walter Binder is affiliated with the Universita della Svizzera Italiana in Switzerland. Their research expertise lies primarily within the field of computer science, with a significant focus on subfields such as computer networks and communications, information systems, hardware and architecture, information systems and management, and software.

Their work extensively covers topics related to parallel computing and optimization techniques, software system performance and reliability, advanced database systems and queries, scientific computing and data management, advanced data storage technologies, distributed and parallel computing systems, and software engineering research.

Some recent papers authored by Binder include:

  • Dynamic speculative optimizations for SQL compilation in Apache Spark, 2020, Proceedings of the VLDB Endowment
  • Optimization-Aware Compiler-Level Event Profiling, 2023, ACM Transactions on Programming Languages and Systems
  • Language-agnostic integrated queries in a managed polyglot runtime, 2021, Proceedings of the VLDB Endowment
  • Profiling and Optimizing Java Streams, 2023, The Art Science and Engineering of Programming
  • Large-scale characterization of Java streams, 2023, Software Practice and Experience

Walter Binder frequently collaborates with a group of coauthors, including Andrea Rosà, Matteo Basso, Eduardo Rosales, Daniele Bonetta, and Filippo Schiavio. These collaborations encompass various aspects of computer science research, particularly in performance optimization and programming languages.

Their research findings have been published in a number of venues, such as:

  • Zenodo (CERN European Organization for Nuclear Research)
  • Proceedings of the VLDB Endowment
  • Proceedings of the ACM on Programming Languages
  • ACM Transactions on Programming Languages and Systems
  • The Art Science and Engineering of Programming

Best Publications

  • Reliable QoS monitoring based on client feedback

    Radu Jurca;Boi Faltings;Walter Binder

  • Advanced Java bytecode instrumentation

    Walter Binder;Jarle Hulaas;Philippe Moret

  • DiSL: a domain-specific language for bytecode instrumentation

    Lukáš Marek;Alex Villazón;Yudi Zheng;Danilo Ansaloni

  • Large scale, type-compatible service composition

    I. Constantinescu;B. Faltings;W. Binder

  • Portable resource control in Java

    Walter Binder;Jane G. Hulaas;Alex Villazón

  • Da capo con scala: design and analysis of a scala benchmark suite for the java virtual machine

    Andreas Sewe;Mira Mezini;Aibek Sarimbekov;Walter Binder

  • Renaissance: benchmarking suite for parallel applications on the JVM

    Aleksandar Prokopec;Andrea Rosà;David Leopoldseder;Gilles Duboscq

  • Decentralized Orchestration of CompositeWeb Services

    Walter Binder;Ion Constantinescu;Boi Faltings

  • Design and implementation of the J-SEAL2 mobile agent kernel

    W. Binder

  • Analyzing the impact of CPU pinning and partial CPU loads on performance and energy efficiency

    Andrej Podzimek;Lubomir Bulej;Lydia Y. Chen;Walter Binder

  • Platform-independent profiling in a virtual execution environment

    Walter Binder;Jarle Hulaas;Philippe Moret;Alex Villazón

  • Flexible and efficient matchmaking and ranking in service directories

    I. Constantinescu;W. Binder;B. Faltings

  • Secure mobile agent systems using Java: where are we heading?

    Walter Binder;Volker Roth

  • Advanced runtime adaptation for Java

    Alex Villazón;Walter Binder;Danilo Ansaloni;Philippe Moret

  • Opportunistic Service Provisioning in the Cloud

    Mathias Bjorkqvist;Lydia Y. Chen;Walter Binder

  • Automated performance assessment for service-oriented middleware: a case study on BPEL engines

    Domenico Bianculli;Walter Binder;Mauro Luigi Drago

  • Multi-Objective Quality-Driven Service Selection—A Fully Polynomial Time Approximation Scheme

    Immanuel Trummer;Boi Faltings;Walter Binder

  • Transparent Runtime Adaptability for BPEL Processes

    Adina Mosincat;Walter Binder

  • A portable CPU-management framework for Java

    W. Binder;J. Hulaas

  • Large scale, type-compatible service composition

    Unknown

  • Predicting and mitigating jobs failures in big data clusters

    Andrea Rosa;Lydia Y. Chen;Walter Binder

  • Renaissance: Benchmarking Suite for Parallel Applications on the JVM.

    Aleksandar Prokopec;Andrea Rosà;David Leopoldseder;Gilles Duboscq

Frequent Co-Authors

Boi Faltings
Boi Faltings École Polytechnique Fédérale de Lausanne
Cesare Pautasso
Cesare Pautasso Universita della Svizzera Italiana
Martin Schoeberl
Martin Schoeberl Technical University of Denmark
Evgenia Smirni
Evgenia Smirni William & Mary
Mira Mezini
Mira Mezini Technical University of Darmstadt
Éric Tanter
Éric Tanter University of Chile
Volker Roth
Volker Roth University of Basel
Oscar Nierstrasz
Oscar Nierstrasz University of Bern
Eric Bodden
Eric Bodden University of Paderborn
Zakaria Maamar
Zakaria Maamar University of Doha for Science and Technology

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