World's Best Scientists 2026 revealed!
Timothy J. Hazen

Timothy J. Hazen

D-Index & Metrics

Computer Science

D-Index
37
Citations
5604
World Ranking
10784
National Ranking
4492

Timothy J. Hazen publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Timothy J. Hazen sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 83 publications — 4th percentile

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

The last bar groups every scientist with 991 publications or more.

Timothy J. Hazen D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Timothy J. Hazen sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Timothy J. Hazen is currently affiliated with Microsoft in the United States and specializes in the field of Computer Science. Their research predominantly covers subfields such as Artificial Intelligence, Sociology and Political Science, Cell Biology, Nutrition and Dietetics, and Pharmacology.

The scientist's publication record features recent works spanning multiple disciplines and venues. Notable papers include:

  • On the social and technical challenges of Web search autosuggestion moderation (2022, First Monday)
  • Phototherapy for vitiligo: Quality and readability of online health information (2024, Photodermatology Photoimmunology & Photomedicine)
  • Cross-Domain Generalization Through Memorization: A Study of Nearest Neighbors in Neural Duplicate Question Detection (2020, arXiv (Cornell University))
  • 53727 Clinical characteristics of patients with hidradenoma and hidradenocarcinoma: A multicenter retrospective review (2024, Journal of the American Academy of Dermatology)

Hazen's work addresses a range of topics which they explore through both computer science and life science lenses. The main topics of their research include:

  • Hate Speech and Cyberbullying Detection
  • Misinformation and Its Impacts
  • Adversarial Robustness in Machine Learning
  • Melanin and Skin Pigmentation
  • Biochemical Analysis and Sensing Techniques
  • Piperaceae Chemical and Biological Studies
  • Topic Modeling

Their frequent coauthors reflect interdisciplinary collaboration and include:

  • Rhea Malik
  • Stephanie Sánchez-Meléndez
  • Vinod E. Nambudiri
  • Alexandra Olteanu
  • Gabriella Kazai

Key venues where Hazen's research has been published are:

  • First Monday
  • Photodermatology Photoimmunology & Photomedicine
  • arXiv (Cornell University)
  • Journal of the American Academy of Dermatology

The scientist's interdisciplinary approach often integrates computational techniques with applications in health and social science, reflecting a diverse range of interests within and beyond traditional computer science domains.

Best Publications

  • JUPlTER: a telephone-based conversational interface for weather information

    V. Zue;S. Seneff;J.R. Glass;J. Polifroni

  • Query-by-example spoken term detection using phonetic posteriorgram templates

    Timothy J. Hazen;Wade Shen;Christopher White

  • Robust Speaker Recognition in Noisy Conditions

    Ji Ming;T.J. Hazen;J.R. Glass;D.A. Reynolds

  • Recognition confidence scoring and its use in speech understanding systems

    Timothy J. Hazen;Stephanie Seneff;Joseph Polifroni

  • Recent Progress in the MIT Spoken Lecture Processing Project

    James R. Glass;Timothy J. Hazen;D. Scott Cyphers;Igor Malioutov

  • Discriminative Training for Large-Vocabulary Speech Recognition Using Minimum Classification Error

    E. McDermott;T.J. Hazen;J. Le Roux;A. Nakamura

  • Retrieval and browsing of spoken content

    C. Chelba;T.J. Hazen;M. Saraclar

  • A segment-based audio-visual speech recognizer: data collection, development, and initial experiments

    Timothy J. Hazen;Kate Saenko;Chia-Hao La;James R. Glass

  • Analysis and processing of lecture audio data: preliminary investigations

    James Glass;Timothy J. Hazen;Lee Hetherington;Chao Wang

  • Speech-based annotation and retrieval of digital photographs.

    Timothy J. Hazen;Brennan Sherry;Mark Adler

  • Automatic Alignment and Error Correction of Human Generated Transcripts for Long Speech Recordings

    Timothy J. Hazen

  • Open-Vocabulary Spoken Utterance Retrieval using Confusion Networks

    T. Hori;I. L. Hetherington;T. J. Hazen;J. R. Glass

  • Word and phone level acoustic confidence scoring

    S.O. Kamppari;T.J. Hazen

  • Real-time telephone-based speech recognition in the Jupiter domain

    J.R. Glass;T.J. Hazen;I.L. Hetherington

  • Automatic processing of audio lectures for information retrieval: vocabulary selection and language modeling

    A. Park;T.J. Hazen;J.R. Glass

  • The MIT Mobile Device Speaker Verification Corpus: Data Collection and Preliminary Experiments

    Ram Woo;Alex Park;Timothy Hazen

  • Visual model structures and synchrony constraints for audio-visual speech recognition

    T.J. Hazen

  • A comparison and combination of methods for OOV word detection and word confidence scoring

    T.J. Hazen;I. Bazzi

  • Segment-based automatic language identification

    Timothy J. Hazen;Victor W. Zue

  • Recent improvements in an approach to segment-based automatic language identification.

    Timothy J. Hazen;Victor W. Zue

Frequent Co-Authors

Ciprian Chelba
Ciprian Chelba Google (United States)
Abeer Alwan
Abeer Alwan University of California, Los Angeles
Hinrich Schütze
Hinrich Schütze Ludwig-Maximilians-Universität München
Eneko Agirre
Eneko Agirre University of the Basque Country
Dominic W. Massaro
Dominic W. Massaro University of California, Santa Cruz
Alex B. Gershman
Alex B. Gershman Technical University of Darmstadt

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Expanding your education beyond a Computer Science degree can open new doors and accelerate your professional growth. Many students explore cheapest online mba programs to develop leadership and business skills on an affordable budget. An MBA complements technical expertise, making graduates more competitive for management and tech-driven executive roles.

For those seeking rapid career advancement, 1 year online masters programs provide a fast-tracked option to gain specialized knowledge and credentials. These accelerated pathways are ideal for those who want to balance education with full-time work or other commitments.

If a quick return on investment is your priority, you might consider quick degrees that pay well. These degrees are designed to help you enter high-demand fields with competitive salaries, often in less than two years.

Artificial Intelligence is a booming field with significant career potential. Exploring the cheapest online masters in artificial intelligence means you can gain cutting-edge skills without the heavy financial burden, positioning yourself for roles in AI research, development, and industry innovation.

Best Scientists Citing Timothy J. Hazen

Trending Scientists

Recently Published Articles