World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
52
Citations
12051
World Ranking
5042
National Ranking
2344

Jennifer G. Dy 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 Jennifer G. Dy 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: 246 publications — 61st percentile

61% of scientists in this discipline score the same or lower.

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

Jennifer G. Dy 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 Jennifer G. Dy 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: 52 D-Index — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Overview

Jennifer G. Dy is affiliated with Northeastern University in the United States. Their research spans multiple fields, focusing primarily on computer science and medicine, with significant contributions in artificial intelligence and its applications.

The scientist has published extensively in areas including computer vision and pattern recognition, pulmonary and respiratory medicine, electrical and electronic engineering, and biophysics. Their work covers topics such as domain adaptation and few-shot learning, cell image analysis techniques, chronic obstructive pulmonary disease (COPD) research, multimodal machine learning applications, AI in cancer detection, cutaneous melanoma detection and management, and anomaly detection techniques and applications.

Frequent co-authors collaborating with Jennifer G. Dy include Stratis Ioannidis, Aria Masoomi, Zifeng Wang, Kıvanç Köse, and Zulqarnain Khan.

Key publication venues where Jennifer G. Dy's work appears often include arXiv (Cornell University), Scientific Reports, bioRxiv (Cold Spring Harbor Laboratory), IEEE Transactions on Vehicular Technology, and the American Journal of Respiratory and Critical Care Medicine.

Representative recent papers are:

  • Learning to Prompt for Continual Learning, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Deep Learning for RF Fingerprinting: A Massive Experimental Study, 2020, IEEE Internet of Things Magazine
  • More Is Better: Data Augmentation for Channel-Resilient RF Fingerprinting, 2020, IEEE Communications Magazine
  • Context-aware experience sampling reveals the scale of variation in affective experience, 2020, Scientific Reports
  • RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms, 2020, IEEE Transactions on Vehicular Technology

Best Publications

  • Feature Selection for Unsupervised Learning

    Jennifer G. Dy;Carla E. Brodley

  • Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors

    S. Patel;K. Lorincz;R. Hughes;N. Huggins

  • Automated Diagnosis of Plus Disease in Retinopathy of Prematurity Using Deep Convolutional Neural Networks

    James M. Brown;J. Peter Campbell;Andrew Beers;Ken Chang

  • Impact of imputation of missing values on classification error for discrete data

    Alireza Farhangfar;Lukasz Kurgan;Jennifer Dy

  • Active Learning from Crowds

    Yan Yan;Glenn M. Fung;R mer Rosales;Jennifer G. Dy

  • Feature Subset Selection and Order Identification for Unsupervised Learning

    Jennifer G. Dy;Carla E. Brodley

  • Unsupervised feature selection applied to content-based retrieval of lung images

    J.G. Dy;C.E. Brodley;A. Kak;L.S. Broderick

  • Evolving feature selection

    H. Liu;E.R. Dougherty;J.G. Dy;K. Torkkola

  • Exposing the Fingerprint: Dissecting the Impact of the Wireless Channel on Radio Fingerprinting

    Amani Al-Shawabka;Francesco Restuccia;Salvatore D'Oro;Tong Jian

  • Modeling annotator expertise: Learning when everybody knows a bit of something

    Yan Yan;Rómer Rosales;Glenn Fung;Mark W. Schmidt

  • Automated storage and retrieval of thin-section CT images to assist diagnosis: system description and preliminary assessment.

    Alex M Aisen;Lynn S Broderick;Helen Winer-Muram;Carla E Brodley

  • A Novel Approach to Monitor Rehabilitation Outcomes in Stroke Survivors Using Wearable Technology

    S. Patel;R. Hughes;T. Hester;J. Stein

  • Deep Learning for RF Fingerprinting: A Massive Experimental Study

    Tong Jian;Bruno Costa Rendon;Emmanuel Ojuba;Nasim Soltani

  • Learning from multiple annotators with varying expertise

    Yan Yan;Rómer Rosales;Glenn Fung;Ramanathan Subramanian

  • A hierarchical method for multi-class support vector machines

    Volkan Vural;Jennifer G. Dy

  • VMM-based intrusion detection system

    Micha Moffie;David Kaeli;Aviram Cohen;Javed Aslam

  • Non-redundant Multi-view Clustering via Orthogonalization

    Ying Cui;X.Z. Fern;J.G. Dy

  • In search of deterministic methods for initializing K-means and Gaussian mixture clustering

    Ting Su;Jennifer G. Dy

  • Evaluation of a deep learning image assessment system for detecting severe retinopathy of prematurity.

    Travis K Redd;John Peter Campbell;James M Brown;Sang Jin Kim

  • Multiple Non-Redundant Spectral Clustering Views

    Donglin Niu;Jennifer G. Dy;Michael I. Jordan

  • Proceedings of the 2013 SIAM International Conference on Data Mining

    Joydeep Ghosh;Zoran Obradovic;Jennifer Dy;Zhi-Hua Zhou

Frequent Co-Authors

Stratis Ioannidis
Stratis Ioannidis Northeastern University
Jayashree Kalpathy-Cramer
Jayashree Kalpathy-Cramer Harvard University
Deniz Erdogmus
Deniz Erdogmus Northeastern University
David Kaeli
David Kaeli Northeastern University
Dana H. Brooks
Dana H. Brooks Northeastern University
Edwin K. Silverman
Edwin K. Silverman Brigham and Women's Hospital
Michael H. Cho
Michael H. Cho Harvard University
Glenn Fung
Glenn Fung American Family Insurance
Carla E. Brodley
Carla E. Brodley Northeastern University
Lisa Feldman Barrett
Lisa Feldman Barrett Northeastern University

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

Exploring online education opens a range of affordable and flexible opportunities for students interested in computer science and related fields. Many students search for the cheapest online degrees to minimize tuition costs without sacrificing education quality. These programs can make higher education more accessible and reduce the long-term financial burden.

If your academic record includes a lower GPA, there are numerous online colleges that accept 2.0 gpa, offering a practical second chance for students eager to pursue a tech career. For those seeking to complete their education quickly, consider options like an accelerated cs degree to fast-track your journey into the workforce.

Computer science also overlaps with fields like environmental studies. Curious about what you can do with such a background? Explore what can you do with an environmental studies degree to see diverse career paths that combine technology and environmental impact. These options show that online learning provides varied routes to a rewarding career.

Best Scientists Citing Jennifer G. Dy

Trending Scientists

Recently Published Articles