World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
10800
World Ranking
4126
National Ranking
1952

Tahsin Kurc 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 Tahsin Kurc 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: 283 publications — 70th percentile

70% of scientists in this discipline score the same or lower.

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

Tahsin Kurc 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 Tahsin Kurc 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Tahsin Kurc is affiliated with Stony Brook University in the United States. Their research spans the interdisciplinary fields of Computer Science and Medicine, specifically emphasizing Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, and Oncology.

Their main fields of study cover Computer Science with 75 publications and Medicine with 70 publications. Subfields include Artificial Intelligence (43 publications), Radiology, Nuclear Medicine and Imaging (35), Computer Vision and Pattern Recognition (24), Oncology (20), and Biophysics (15).

Tahsin Kurc's work addresses key topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, and Cell Image Analysis Techniques. Other focus areas include Digital Imaging for Blood Diseases, Cancer Genomics and Diagnostics, Artificial Intelligence in Healthcare and Education, and Cancer Immunotherapy and Biomarkers.

Some of the most frequent publication venues for Tahsin Kurc include arXiv (Cornell University) with 15 publications, Cancer Research with 4, Computer Methods and Programs in Biomedicine with 3, Zenodo (CERN European Organization for Nuclear Research) with 3, and IEEE Journal of Biomedical and Health Informatics with 2.

Frequent co-authors working alongside Tahsin Kurc are Joel Saltz, Rajarsi Gupta, Shahira Abousamra, Dimitris Samaras, and Spyridon Bakas, with collaboration counts ranging from 13 to 60 joint works.

Significant recent papers include:

  • AI in Medical Imaging Informatics: Current Challenges and Future Directions, 2020, IEEE Journal of Biomedical and Health Informatics
  • Metrics reloaded: recommendations for image analysis validation, 2024, Nature Methods
  • ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management, 2020, SoftwareX
  • Understanding metric-related pitfalls in image analysis validation, 2024, Nature Methods
  • Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer, 2020, American Journal Of Pathology

Best Publications

  • Spatial Organization and Molecular Correlation of Tumor-Infiltrating Lymphocytes Using Deep Learning on Pathology Images.

    Joel Saltz;Rajarsi Gupta;Le Hou;Tahsin Kurc

  • AI in Medical Imaging Informatics: Current Challenges and Future Directions

    Andreas S. Panayides;Amir Amini;Nenad D. Filipovic;Ashish Sharma

  • Federated learning enables big data for rare cancer boundary detection

    Unknown

  • Methods for Segmentation and Classification of Digital Microscopy Tissue Images.

    Quoc Dang Vu;Simon Graham;Tahsin Kurc;Minh Nguyen Nhat To

  • Distributed processing of very large datasets with DataCutter

    Michael D. Beynon;Tahsin Kurc;Umit Catalyurek;Chialin Chang

  • Twenty Years of Digital Pathology: An Overview of the Road Travelled, What is on the Horizon, and the Emergence of Vendor-Neutral Archives.

    Liron Pantanowitz;Ashish Sharma;Alexis B Carter;Tahsin Kurc

  • DataCutter: Middleware for Filtering Very Large Scientific Datasets on Archival Storage Systems.

    Michael D. Beynon;Renato Ferreira;Tahsin M. Kurç;Alan Sussman

  • caGrid: design and implementation of the core architecture of the cancer biomedical informatics grid

    Joel Saltz;Scott Oster;Shannon Hastings;Stephen Langella

  • Cancer Digital Slide Archive: an informatics resource to support integrated in silico analysis of TCGA pathology data

    David A. Gutman;Jake Cobb;Dhananjaya Somanna;Yuna Park

  • ADIOS 2: The Adaptable Input Output System. A framework for high-performance data management

    William F. Godoy;Norbert Podhorszki;Ruonan Wang;Chuck Atkins

  • The Proneural Molecular Signature Is Enriched in Oligodendrogliomas and Predicts Improved Survival among Diffuse Gliomas

    Lee Cooper;David Andrew Gutman;Qi Long;Brent Johnson

  • Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

    Le Hou;Vu Nguyen;Ariel B. Kanevsky;Ariel B. Kanevsky;Dimitris Samaras

  • caGrid 1.0: an enterprise Grid infrastructure for biomedical research.

    Scott Oster;Stephen Langella;Shannon Hastings;David Ervin

  • The virtual microscope

    U. Catalyurek;M.D. Beynon;Chialin Chang;T. Kurc

  • Robust Histopathology Image Analysis: To Label or to Synthesize?

    Le Hou;Ayush Agarwal;Dimitris Samaras;Tahsin M. Kurc

  • Malignant-lesion segmentation using 4D co-occurrence texture analysis applied to dynamic contrast-enhanced magnetic resonance breast image data.

    Brent J. Woods;Bradley D. Clymer;Tahsin Kurc;Johannes T. Heverhagen

  • Integrated morphologic analysis for the identification and characterization of disease subtypes.

    Lee A D Cooper;Jun Kong;David Andrew Gutman;Fusheng Wang

  • The Emergence of Pathomics

    Rajarsi Gupta;Tahsin Kurc;Ashish Sharma;Jonas S. Almeida

  • Utilizing Automated Breast Cancer Detection to Identify Spatial Distributions of Tumor-Infiltrating Lymphocytes in Invasive Breast Cancer.

    Han Le;Rajarsi Gupta;Rajarsi Gupta;Le Hou;Shahira Abousamra

  • Processing large-scale multi-dimensional data in parallel and distributed environments

    Michael Beynon;Chialin Chang;Umit Catalyurek;Tahsin Kurc

  • Image processing for the grid: a toolkit for building grid-enabled image processing applications

    S. Hastings;T. Kurc;S. Langella;U. Catalyurek

  • Visualization of large data sets with the Active Data Repository

    T. Kurc;U. Catalyurek;Chialin Chang;A. Sussman

  • Sparse Autoencoder for Unsupervised Nucleus Detection and Representation in Histopathology Images

    Le Hou;Vu Nguyen;Dimitris Samaras;Tahsin M. Kurc

Frequent Co-Authors

Joel H. Saltz
Joel H. Saltz Stony Brook University
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Lee Cooper
Lee Cooper Northwestern University
Dimitris Samaras
Dimitris Samaras Stony Brook University
Fusheng Wang
Fusheng Wang Stony Brook University
Daniel J. Brat
Daniel J. Brat Northwestern University
P. Sadayappan
P. Sadayappan University of Utah
Scott Klasky
Scott Klasky Oak Ridge National Laboratory
Alan Sussman
Alan Sussman University of Maryland, College Park
Carlos S. Moreno
Carlos S. Moreno Emory University

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