World's Best Scientists 2026 revealed!
Christine R. Mason

Christine R. Mason

D-Index & Metrics

Engineering and Technology

D-Index
35
Citations
5306
World Ranking
8970
National Ranking
2507

Christine R. Mason 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 Christine R. Mason 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: 115 publications — 13th percentile

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

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

Christine R. Mason 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 Christine R. Mason 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

Christine R. Mason is affiliated with Boston University in the United States and has a research focus primarily in Computer Science, with a significant number of publications in related subfields. Their work encompasses areas such as Artificial Intelligence, Economics and Econometrics, General Health Professions, Education, and Management Information Systems.

The scholar has contributed to various topics throughout their career, including:

  • Labor market dynamics and wage inequality
  • Online Learning and Analytics
  • Higher Education and Employability
  • Topic Modeling
  • Employment and Welfare Studies
  • Explainable Artificial Intelligence (XAI)
  • Community Health and Development

Mason's recent publications provide insight into the scope and focus of their research:

  • "Collaborative Intelligence: A Scoping Review Of Current Applications" (2024), published in Applied Artificial Intelligence
  • "Implementing Industry 4.0 in Australia: Insights from Advanced Australian Manufacturers" (2022), published in Journal of Open Innovation Technology Market and Complexity
  • "Differentiating artificial intelligence activity clusters in Australia" (2022), published in Technology in Society
  • "A reassessment of TBT action levels for determining the fate of dredged sediments in the United Kingdom" (2022), published in Marine Pollution Bulletin
  • "Illustrating the application of a skills taxonomy, machine learning and online data to inform career and training decisions" (2023), published in International Journal of Information and Learning Technology

Their frequent coauthors include Haohui Chen, Emma Schleiger, Claire Naughtin, Andrew Reeson, and David Evans, indicating ongoing collaborative efforts within the research community.

Mason has published extensively in several venues, with notable repeated contributions in:

  • SSRN Electronic Journal
  • Applied Artificial Intelligence
  • Technology in Society
  • International Journal of Information and Learning Technology
  • IEEE/WIC/ACM International Conference on Web Intelligence

Best Publications

  • Note on informational masking (L)

    Nathaniel I. Durlach;Christine R. Mason;Gerald Kidd;Tanya L. Arbogast

  • The effect of spatial separation on informational and energetic masking of speech.

    Tanya L. Arbogast;Christine R. Mason;Gerald Kidd

  • The advantage of knowing where to listen

    Gerald Kidd;Tanya L. Arbogast;Christine R. Mason;Frederick J. Gallun

  • Reducing informational masking by sound segregation

    Gerald Kidd;Christine R. Mason;Phalguni S. Deliwala;William S. Woods

  • Release from masking due to spatial separation of sources in the identification of nonspeech auditory patterns

    Gerald Kidd;Christine R. Mason;Tanya L. Rohtla;Phalguni S. Deliwala

  • Informational masking: Counteracting the effects of stimulus uncertainty by decreasing target-masker similarity

    Nathaniel I. Durlach;Christine R. Mason;Barbara G. Shinn-Cunningham;Tanya L. Arbogast

  • The effect of spatial separation on informational masking of speech in normal-hearing and hearing-impaired listeners.

    Tanya L. Arbogast;Christine R. Mason;Gerald Kidd

  • The effects of hearing loss and age on the benefit of spatial separation between multiple talkers in reverberant rooms.

    Nicole Marrone;Christine R. Mason;Gerald Kidd

  • Tuning in the spatial dimension: Evidence from a masked speech identification task

    Nicole Marrone;Christine R. Mason;Gerald Kidd

  • Informational masking and musical training

    Andrew J. Oxenham;Brian J. Fligor;Christine R. Mason;Gerald Kidd

  • Musical training, individual differences and the cocktail party problem

    Jayaganesh Swaminathan;Christine R. Mason;Timothy M. Streeter;Virginia Best

  • Listening to every other word: examining the strength of linkage variables in forming streams of speech.

    Gerald Kidd;Virginia Best;Christine R. Mason

  • The role of reverberation in release from masking due to spatial separation of sources for speech identification

    Gerald Kidd;Christine R. Mason;Andrew Brughera;William M. Hartmann

  • Similarity, uncertainty, and masking in the identification of nonspeech auditory patterns.

    Gerald Kidd;Christine R. Mason;Tanya L. Arbogast

  • Determining the energetic and informational components of speech-on-speech masking

    Gerald Kidd;Christine R. Mason;Jayaganesh Swaminathan;Elin Roverud

  • Stimulus factors influencing spatial release from speech-on-speech masking

    Gerald Kidd;Christine R. Mason;Virginia Best;Nicole Marrone

  • Combining energetic and informational masking for speech identification

    Gerald Kidd;Christine R. Mason;Frederick J. Gallun

  • Evaluating the benefit of hearing aids in solving the cocktail party problem

    Nicole Marrone;Christine R. Mason;Gerald Kidd

  • Roving-level tone-in-noise detection

    Gerald Kidd;Christine R. Mason;Merry A. Brantley;Grace A. Owen

  • Informational masking in listeners with sensorineural hearing loss.

    Gerald Kidd;Tanya L. Arbogast;Christine R. Mason;Michael Walsh

Frequent Co-Authors

Gerald Kidd
Gerald Kidd Boston University
Barbara G. Shinn-Cunningham
Barbara G. Shinn-Cunningham Carnegie Mellon University
H. Steven Colburn
H. Steven Colburn Boston University
David M. Green
David M. Green University of Florida
Aniruddh D. Patel
Aniruddh D. Patel Tufts University
William M. Hartmann
William M. Hartmann Michigan State University
Andrew J. Oxenham
Andrew J. Oxenham University of Minnesota

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