World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
53
Citations
11096
World Ranking
3391
National Ranking
226

Natasha Merat 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 Natasha Merat 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: 187 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Natasha Merat 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 Natasha Merat 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: 53 D-Index — 66th percentile

66% of scientists in this discipline score the same or lower.

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

Overview

Natasha Merat is affiliated with the University of Leeds in the United Kingdom. Their research primarily spans the fields of Engineering and Psychology, with a specific focus on Social Psychology, Safety, Risk, Reliability and Quality, Automotive Engineering, Transportation, and Control and Systems Engineering.

The research topics that Natasha Merat addresses include:

  • Human-Automation Interaction and Safety
  • Traffic and Road Safety
  • Safety Warnings and Signage
  • Autonomous Vehicle Technology and Safety
  • Transportation and Mobility Innovations
  • Traffic control and management
  • Urban Transport and Accessibility

Natasha Merat has contributed extensively to academic literature, with numerous publications appearing in several key venues. The most frequent publication outlets include:

  • Transportation Research Part F Traffic Psychology and Behaviour
  • Accident Analysis & Prevention
  • SSRN Electronic Journal
  • Transportation Research Interdisciplinary Perspectives
  • Cognition Technology & Work

Some of the recent papers authored by Natasha Merat include:

  • Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries (2020), published in Transportation Research Part F Traffic Psychology and Behaviour
  • Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic (2020), published in Theoretical Issues in Ergonomics Science
  • Road users rarely use explicit communication when interacting in today's traffic: implications for automated vehicles (2020), published in Cognition Technology & Work
  • Vulnerable road users and the coming wave of automated vehicles: Expert perspectives (2021), published in Transportation Research Interdisciplinary Perspectives
  • Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior (2020), published in IEEE Transactions on Intelligent Transportation Systems

Natasha Merat has collaborated frequently with several co-authors, including:

  • Yee Mun Lee
  • Ruth Madigan
  • Gustav Markkula
  • Tyron Louw
  • Richard Romano

Best Publications

  • Transition to manual: driver behaviour when resuming control from a highly automated vehicle

    Natasha Merat;A. Hamish Jamson;F. Frank C. H. Lai;Michael Daly

  • What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of automated road transport systems

    Ruth Madigan;Tyron Louw;Marc Wilbrink;Anna Schieben

  • Highly automated driving, secondary task performance, and driver state.

    Natasha Merat;A. Hamish Jamson;Frank C. H. Lai;Oliver M. J. Carsten

  • Behavioural changes in drivers experiencing highly-automated vehicle control in varying traffic conditions

    A. Hamish Jamson;Natasha Merat;Oliver M.J. Carsten;Frank C.H. Lai

  • Control Task Substitution in Semiautomated Driving Does It Matter What Aspects Are Automated

    Oliver M. J. Carsten;Frank C. H. Lai;Yvonne Barnard;A. Hamish Jamson

  • Acceptance of Automated Road Transport Systems (ARTS): An adaptation of the UTAUT model

    Ruth Madigan;Tyron Louw;Marc Dziennus;Tatiana Graindorge

  • A human factors perspective on automated driving

    M. Kyriakidis;J.C.F. de Winter;N Stanton;T. Bellet

  • Surrogate in-vehicle information systems and driver behaviour: effects of visual and cognitive load in simulated rural driving

    A. Hamish Jamson;Natasha Merat

  • Effects of Cognitive Load on Driving Performance: The Cognitive Control Hypothesis.

    Johan Engström;Gustav Markkula;Trent Victor;Natasha Merat

  • User acceptance of automated shuttles in Berlin-Schöneberg : A questionnaire study

    S. Nordhoff;J.C.F. de Winter;Ruth Madigan;Natasha Merat

  • The “Out-of-the-Loop” concept in automated driving: proposed definition, measures and implications

    Natasha Merat;Bobbie Seppelt;Tyron Louw;Johan Engstrom

  • Designing the interaction of automated vehicles with other traffic participants: design considerations based on human needs and expectations

    Anna Schieben;Marc Wilbrink;Carmen Kettwich;Ruth Madigan

  • Are you in the loop? Using gaze dispersion to understand driver visual attention during vehicle automation

    Tyron Louw;Natasha Merat

  • Using the UTAUT2 model to explain public acceptance of conditionally automated (L3) cars: A questionnaire study among 9,118 car drivers from eight European countries

    Sina Nordhoff;Tyron Louw;Satu Innamaa;Esko Lehtonen

  • The interaction between driving and in-vehicle information systems: comparison of results from laboratory, simulator and real-world studies

    Jorge Santos;Natasha Merat;Sandra Mouta;Karel A. Brookhuis

  • What externally presented information do VRUs require when interacting with fully Automated Road Transport Systems in shared space

    Natasha Merat;Tyron Louw;Ruth Madigan;Marc Wilbrink

  • Defining interactions: a conceptual framework for understanding interactive behaviour in human and automated road traffic

    Gustav Markkula;Ruth Madigan;Dimitris Nathanael;Evangelia Portouli

  • Preface to the special section on human factors and automation in vehicles: designing highly automated vehicles with the driver in mind

    Natasha Merat;John D. Lee

  • Road users rarely use explicit communication when interacting in today’s traffic: implications for automated vehicles

    Yee Mun Lee;Ruth Madigan;Oscar Giles;Laura Garach-Morcillo;Laura Garach-Morcillo

  • Engaging with Highly Automated Driving: To be or Not to be in the Loop?

    Tyron Louw;Natasha Merat;Hamish Jamson

Frequent Co-Authors

Dick de Waard
Dick de Waard University of Groningen
John D. Lee
John D. Lee University of Wisconsin–Madison
Karel Brookhuis
Karel Brookhuis University of Groningen
John A. Groeger
John A. Groeger Nottingham Trent University
Joost C. F. de Winter
Joost C. F. de Winter Delft University of Technology
Bart van Arem
Bart van Arem Delft University of Technology
Michael G. Lenné
Michael G. Lenné Monash University
Neville A. Stanton
Neville A. Stanton University of Southampton
Matthias Althoff
Matthias Althoff Technical University of Munich
Josef F. Krems
Josef F. Krems Chemnitz University of Technology

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