World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
6224
World Ranking
8916
National Ranking
301

Jana Koehler 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 Jana Koehler 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: 82 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Jana Koehler 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 Jana Koehler 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: 35 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Jana Koehler is affiliated with the German Research Centre for Artificial Intelligence in Germany. Their research spans multiple fields, primarily focusing on Engineering, Computer Science, and Business, Management and Accounting. Within these areas, they explore several subfields including Industrial and Manufacturing Engineering, Computer Networks and Communications, Management of Technology and Innovation, Clinical Psychology, and Software.

The main topics of Jana Koehler's work include Vehicle Routing Optimization Methods, Constraint Satisfaction and Optimization, Digital Innovation in Industries, Scheduling and Optimization Algorithms, Model-Driven Software Engineering Techniques, Child Abuse and Trauma, and Migration, Health, and Trauma.

Jana Koehler has authored or co-authored a number of papers published in various venues. Recent notable publications include:

  • "Model-Driven Constraint Engineering," 2024, Technische Universität Berlin - Universitätsbibliothek
  • "Multi-sectoral response to child maltreatment in Switzerland for different age groups: Varying rates of reported incidents and gaps in identification," 2020, Child Abuse & Neglect
  • "Cable tree wiring - benchmarking solvers on a real-world scheduling problem with a variety of precedence constraints," 2021, Constraints
  • "A Survey of Approximability Results for Traveling Salesman Problems using the TSP-T3CO Definition Scheme," 2023, arXiv (Cornell University)
  • "Vesicle-bound regulatory RNAs are associated with tissue aging," 2021, bioRxiv (Cold Spring Harbor Laboratory)

Jana Koehler has frequent collaborations with several researchers, notably Walter Brenner, Benjamin van Giffen, Tobias Fahse, André Sagodi, and Sophia Saller. These collaborations reflect a consistent cooperation in interdisciplinary research efforts.

Their research outputs have appeared regularly in certain publication venues, including:

  • arXiv (Cornell University)
  • Child Abuse & Neglect
  • Constraints
  • Technische Universität Berlin - Universitätsbibliothek
  • bioRxiv (Cold Spring Harbor Laboratory)

Beyond journal articles, Jana Koehler has contributed to academic books, with a notable title published by Springer Nature titled Bausteine eines Managements Künstlicher Intelligenz in 2021.

Best Publications

  • Web Service Composition - Current Solutions and Open Problems

    Biplav Srivastava;Jana Koehler

  • Business process model and notation : third international workshop, BPMN 2011, Lucerne, Switzerland, November 21-22, 2011 : proceedings

    Remco Dijkman;Jörg Hofstetter;Jana Koehler

  • The refined process structure tree

    Jussi Vanhatalo;Hagen Völzer;Jana Koehler

  • Extending Planning Graphs to an ADL Subset

    Jana Koehler;Bernhard Nebel;Jörg Hoffmann;Yannis Dimopoulos

  • Plan reuse versus plan generation: a theoretical and empirical analysis

    Bernhard Nebel;Bernhard Nebel;Jana Koehler

  • Encoding Planning Problems in Nonmonotonic Logic Programs

    Yannis Dimopoulos;Bernhard Nebel;Jana Koehler

  • Managing architectural decision models with dependency relations, integrity constraints, and production rules

    Olaf Zimmermann;Jana Koehler;Frank Leymann;Ronny Polley

  • Instantaneous Soundness Checking of Industrial Business Process Models

    Dirk Fahland;Cédric Favre;Barbara Jobstmann;Jana Koehler

  • Analysis on demand: Instantaneous soundness checking of industrial business process models

    Dirk Fahland;Cédric Favre;Jana Koehler;Niels Lohmann

  • Planning under Resource Constraints.

    Jana Koehler

  • On reasonable and forced goal orderings and their use in an agenda-driven planning algorithm

    Jana Koehler;Jörg Hoffmann

  • Ignoring Irrelevant Facts and Operators in Plan Generation

    Bernhard Nebel;Yannis Dimopoulos;Jana Koehler

  • Applying Patterns during Business Process Modeling

    Thomas Gschwind;Jana Koehler;Janette Wong

  • From business process model to consistent implementation: a case for formal verification methods

    J. Koehler;G. Tirenni;S. Kumaran

  • The Role of Visual Modeling and Model Transformations in Business-driven Development

    Jana Koehler;Rainer Hauser;Jochen Küster;Ksenia Ryndina

  • Conformant Planning via Heuristic Forward Search: A New Approach

    Ronen Brafman;Jörg Hoffmann;Shlomo Zilberstein;Jana Koehler

  • Declarative techniques for model-driven business process integration

    J. Koehler;R. Hauser;S. Sendall;M. Wahler

  • A model-driven transformation method

    J. Koehler;R. Hauser;S. Kapoor;F.Y. Wu

  • The AIPS-98 Planning Competition

    Derek Long;Henry A. Kautz;Bart Selman;Blai Bonet

  • Improving business process models with reference models in business-driven development

    Jochen M. Küster;Jana Koehler;Ksenia Ryndina

  • An AI-based approach to destination control in elevators

    Jana Koehler;Daniel Ottiger

Frequent Co-Authors

Jörg Hoffmann
Jörg Hoffmann Saarland University
Bernhard Nebel
Bernhard Nebel University of Freiburg
Frank Leymann
Frank Leymann University of Stuttgart
Gerhard Lakemeyer
Gerhard Lakemeyer RWTH Aachen University
Umeshwar Dayal
Umeshwar Dayal Hitachi (Japan)
Dirk Fahland
Dirk Fahland Eindhoven University of Technology
Shlomo Zilberstein
Shlomo Zilberstein University of Massachusetts Amherst
Sven Koenig
Sven Koenig University of Southern California
Cesare Pautasso
Cesare Pautasso Universita della Svizzera Italiana
Matthias Jarke
Matthias Jarke RWTH Aachen University

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