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Penelope M. Sanderson

Penelope M. Sanderson

D-Index & Metrics

Engineering and Technology

D-Index
34
Citations
6645
World Ranking
9140
National Ranking
452

Penelope M. Sanderson 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 Penelope M. Sanderson 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: 288 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

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

Penelope M. Sanderson 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 Penelope M. Sanderson 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: 34 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Overview

Penelope M. Sanderson is affiliated with the University of Queensland in Australia, with a research focus predominantly in the field of Medicine. Their scholarly work emphasizes Surgery, Social Psychology, Biomedical Engineering, Human-Computer Interaction, and Cognitive Neuroscience as key subfields of study.

Their research topics span multiple areas, including Healthcare Technology and Patient Monitoring, Human-Automation Interaction and Safety, Non-Invasive Vital Sign Monitoring, Virtual Reality Applications and Impacts, Personal Information Management and User Behavior, ECG Monitoring and Analysis, and Simulation-Based Education in Healthcare.

Frequent publication venues associated with their research include:

  • Proceedings of the Human Factors and Ergonomics Society Annual Meeting
  • Applied Ergonomics
  • Human Factors The Journal of the Human Factors and Ergonomics Society
  • International Journal of Human-Computer Studies
  • Ergonomics

Collaborations have frequently involved several co-authors with whom Sanderson has published multiple papers. These collaborators are Robert G. Loeb, Isaac Salisbury, Helen G. Liley, Estrella Paterson, and Ismail Mohamed.

Notable recent publications include:

  • The Use of Head-Worn Displays for Vital Sign Monitoring in Critical and Acute Care: Systematic Review (2021, JMIR mhealth and uhealth)
  • Head-worn displays for healthcare and industry workers: A review of applications and design (2021, International Journal of Human-Computer Studies)
  • A review of the effects of head-worn displays on teamwork for emergency response (2021, Ergonomics)
  • Auditory Sequences Presented With Spearcons Support Better Multiple Patient Monitoring Than Single-Patient Alarms: A Preclinical Simulation (2022, Human Factors The Journal of the Human Factors and Ergonomics Society)
  • Interruptions in healthcare: Modeling dynamic processes and effects at a team level (2023, Applied Ergonomics)

Best Publications

  • Modeling and Predicting Mental Workload in En Route Air Traffic Control: Critical Review and Broader Implications

    Shayne Loft;Penelope Sanderson;Andrew Neal;Martijn Mooij

  • Exploratory sequential data analysis: foundations

    Penelope M. Sanderson;Carolanne Fisher

  • Interruptions in healthcare: Theoretical views

    Tobias Grundgeiger;Penelope Sanderson

  • MacSHAPA and the enterprise of exploratory sequential data analysis (ESDA)

    Penelope Sanderson;Jay Scott;Tom Johnston;John Mainzer

  • Verbalizable knowledge and skilled task performance: Association, dissociation, and mental models.

    Penelope M. Sanderson

  • The human planning and scheduling role in advanced manufacturing systems: an emerging human factors domain

    Penelope M. Sanderson

  • Object Displays Do Not Always Support Better Integrated Task Performance

    Penelope M. Sanderson;John M. Flach;Mary Anne Buttigieg;Elizabeth J. Casey

  • Interruption management in the Intensive Care Unit: Predicting resumption times and assessing distributed support

    Tobias Grundgeiger;Penelope Sanderson;Hamish G. MacDougall;Balasubramanian Venkatesh

  • Designing teams for first-of-a-kind, complex systems using the initial phases of cognitive work analysis: Case study

    Neelam Naikar;Brett Pearce;Dominic Drumm;Penelope M. Sanderson

  • Sonification Supports Eyes-Free Respiratory Monitoring and Task Time-Sharing:

    Marcus Watson;Penelope M. Sanderson

  • Evaluating design proposals for complex systems with work domain analysis.

    Neelam Naikar;Penelope M. Sanderson

  • Anesthesia alarms in context: an observational study.

    F. Jacob Seagull;Penelope M. Sanderson

  • Learnability and discriminability of melodic medical equipment alarms

    P. M. Sanderson;A. Wee;P. Lacherez

  • Emergent Features in Visual Display Design for Two Types of Failure Detection Tasks

    Mary Anne Buttigieg;Penelope M. Sanderson

  • Designing for attention with sound: challenges and extensions to ecological interface design.

    Marcus O. Watson;Penelope M. Sanderson

  • Exploratory sequential data analysis: exploring continuous observational data

    Carolanne Fisher;Penelope Sanderson

  • Overlapping Melodic Alarms Are Almost Indiscriminable

    Philippe F. Lacherez;Eunice Limin Seah;Penelope Sanderson

  • Work Domain Analysis for Training-System Definition and Acquisition

    Neelam Naikar;Penelope M. Sanderson

  • Advanced patient monitoring displays: tools for continuous informing.

    Penelope Sanderson;Marcus Watson;W Russell

  • Monitoring with head-mounted displays in general anesthesia: a clinical evaluation in the operating room.

    David Liu;Simon A. Jenkins;Penelope M. Sanderson;Perry Fabian

  • SHAPA: an interactive software environment for protocol analysis

    Penelope M. Sanderson;Jeffrey M. James;Karen S. Seidler

  • The multimodal world of medical monitoring displays.

    Penelope Sanderson

  • Use of Cognitive Work Analysis Across the System Life Cycle: From Requirements to Decommissioning:

    Penelope Sanderson;Neelam Naikar;Gavan Lintern;Simon Goss

  • Current Challenges and Opportunities for Better Integration of Human Factors Research with Development of Clinical Information Systems

    J. J. Saleem;A. L. Russ;P. Sanderson;Todd R Johnson

Frequent Co-Authors

Andrew Pipingas
Andrew Pipingas Swinburne University of Technology
Kim J. Vicente
Kim J. Vicente University of Toronto
Richard B. Silberstein
Richard B. Silberstein Swinburne University of Technology
Jens Rasmussen
Jens Rasmussen Aarhus University
Karen E. Adolph
Karen E. Adolph New York University
Katharine H. Greenaway
Katharine H. Greenaway University of Melbourne
S. Alexander Haslam
S. Alexander Haslam University of Queensland
Peter A. Hancock
Peter A. Hancock University of Central Florida
Zhao Yang Dong
Zhao Yang Dong City University of Hong Kong
Niklas K. Steffens
Niklas K. Steffens University of Queensland

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