World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
36
Citations
6778
World Ranking
8607
National Ranking
288

Reiner Hähnle publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Reiner Hähnle sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 268 publications — 69th percentile

69% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Reiner Hähnle D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Reiner Hähnle sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 36 D-Index — 13th percentile

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

The last bar groups every scientist with 107 D-Index or more.

Overview

Reiner Hähnle is affiliated with the Technical University of Darmstadt in Germany and specializes in computer science, with a focus on fields including artificial intelligence, computational theory and mathematics, software, computer networks and communications, and information systems.

The main topics of Reiner Hähnle's research involve formal methods in verification, logic, programming, and type systems, software testing and debugging techniques, security and verification in computing, distributed systems and fault tolerance, software engineering research, and advanced software engineering methodologies.

Frequent coauthors collaborating with Reiner Hähnle include Richard Bubel, Eduard Kamburjan, Marco Scaletta, Dominic Steinhöfel, and Einar Broch Johnsen.

Reiner Hähnle has contributed papers to several publication venues, notably: arXiv (Cornell University), International Journal on Software Tools for Technology Transfer, ACM Transactions on Modeling and Computer Simulation, EPiC series in computing, and ACM Transactions on Programming Languages and Systems.

Recent papers include the following:

  • Context, Composition, Automation, and Communication: The C 2 AC Roadmap for Modeling and Simulation, 2024, ACM Transactions on Modeling and Computer Simulation
  • Trace-based Deductive Verification, 2023, EPiC series in computing
  • Towards a Circular Economy of Industrial Software, 2020, Procedia CIRP
  • Locally Abstract, Globally Concrete Semantics of Concurrent Programming Languages, 2024, ACM Transactions on Programming Languages and Systems
  • Variability modules, 2022, Journal of Systems and Software

Reiner Hähnle has also published a book titled Deductive Software Verification: Future Perspectives in 2020, through Springer Science+Business Media.

Best Publications

  • Verification of Object-Oriented Software. the Key Approach

    Bernhard Beckert;Reiner Hähnle;Peter H. Schmitt

  • ABS: a core language for abstract behavioral specification

    Einar Broch Johnsen;Reiner Hähnle;Jan Schäfer;Rudolf Schlatte

  • The KeY tool

    Wolfgang Ahrendt;Thomas Baar;Bernhard Beckert;Richard Bubel

  • Handbook of tableau methods

    Marcello D'Agostino;Dov M. Gabbay;Reiner Hähnle;Joachim Posegga

  • Deductive Software Verification - The KeY Book

    Wolfgang Ahrendt;Bernhard Beckert;Richard Bubel;Reiner Hähnle

  • A theorem proving approach to analysis of secure information flow

    Ádám Darvas;Reiner Hähnle;David Sands

  • Automated deduction in multiple-valued logics

    Reiner Hähnle

  • Tableaux and Related Methods.

    Reiner Hähnle

  • A Survey of Active Object Languages

    Frank De Boer;Vlad Serbanescu;Reiner Hähnle;Ludovic Henrio

  • Resource Analysis of Complex Programs with Cost Equations

    Antonio Flores-Montoya;Reiner Hähnle

  • Advanced Many-Valued Logics

    Reiner Hähnle

  • Many-valued logic and mixed integer programming

    Reiner Hähnle

  • OpenJDK's Java.utils.Collection.sort() Is Broken : The Good, the Bad and the Worst Case

    Stijn de Gouw;Jurriaan Rot;Jurriaan Rot;Frank S. de Boer;Frank S. de Boer;Richard Bubel

  • The Even More Liberalized delta-Rule in Free Variable Semantic Tableaux

    Bernhard Beckert;Reiner Hähnle;Peter H. Schmitt

  • Short Conjunctive Normal Forms in Finitely Valued Logics

    Reiner Hähnle

  • Uniform notation of tableau rules for multiple-valued logics

    R. Hahnle

  • The KeY Platform for Verification and Analysis of Java Programs

    Wolfgang Ahrendt;Bernhard Beckert;Daniel Bruns;Richard Bubel

  • Deductive Software Verification : From Pen-and-Paper Proofs to Industrial Tools

    Reiner Hähnle;Marieke Huisman

  • The KeY Approach: Integrating Object Oriented Design and Formal Verification

    Wolfgang Ahrendt;Thomas Baar;Bernhard Beckert;Martin Giese

  • Generating unit tests from formal proofs

    Christian Engel;Reiner Hähnle

  • Towards an Efficient Tableau Proof Procedure for Multiple-Valued Logics

    Reiner Hähnle

  • An Authoring Tool for Informal and Formal Requirements Specifications

    Reiner Hähnle;Kristofer Johannisson;Aarne Ranta

  • Reasoning and Verification: State of the Art and Current Trends

    Bernhard Beckert;Reiner Hahnle

  • Formal modeling and analysis of resource management for cloud architectures: an industrial case study using Real-Time ABS

    Elvira Albert;Frank S. Boer;Reiner Hähnle;Einar Broch Johnsen

  • Deduction in many-valued logics: a survey

    Reiner Hähnle;Gonzalo Escalada Imaz

  • A liskov principle for delta-oriented programming

    Reiner Hähnle;Ina Schaefer

Frequent Co-Authors

Ina Schaefer
Ina Schaefer Technische Universität Braunschweig
Jürgen Giesl
Jürgen Giesl RWTH Aachen University
Thomas Ball
Thomas Ball Microsoft (United States)
Tobias Nipkow
Tobias Nipkow Technical University of Munich
Gianluigi Zavattaro
Gianluigi Zavattaro University of Bologna
Mira Mezini
Mira Mezini Technical University of Darmstadt
Wil M. P. van der Aalst
Wil M. P. van der Aalst RWTH Aachen University
Heinrich Hussmann
Heinrich Hussmann Ludwig-Maximilians-Universität München
Jean Bézivin
Jean Bézivin University of Nantes
Bernhard Steffen
Bernhard Steffen TU Dortmund University

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