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Joel H. Saltz

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 82 962 931 521 502 575 26686

Joel H. Saltz publications per year

The chart shows the history of publications by Joel H. Saltz between 1986 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Joel H. Saltz published across 40 years, from 1986 to 2025, averaging 18.5 papers a year. Output peaked at 46 publications in 2022. 52 of the 741 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1986 to 2025. Vertical axis: number of publications, 0 to 46. Peak 46 publications in 2022. 1986: 2 publications 1987: 6 publications 1988: 6 publications 1989: 8 publications 1990: 14 publications 1991: 11 publications 1992: 12 publications 1993: 14 publications 1994: 15 publications 1995: 26 publications 1996: 20 publications 1997: 16 publications 1998: 21 publications 1999: 14 publications 2000: 11 publications 2001: 12 publications 2002: 11 publications 2003: 21 publications 2004: 10 publications 2005: 23 publications 2006: 24 publications 2007: 32 publications 2008: 29 publications 2009: 16 publications 2010: 17 publications 2011: 25 publications 2012: 20 publications 2013: 24 publications 2014: 9 publications 2015: 8 publications 2016: 11 publications 2017: 20 publications 2018: 17 publications 2019: 21 publications 2020: 32 publications 2021: 23 publications 2022: 46 publications 2023: 42 publications 2024: 35 publications 2025: 17 publications
1986 2025

741 publications in total across all disciplines

View publications per year as a table
Joel H. Saltz: publications per year, 1986 to 2025
Year Publications
1986 2
1987 6
1988 6
1989 8
1990 14
1991 11
1992 12
1993 14
1994 15
1995 26
1996 20
1997 16
1998 21
1999 14
2000 11
2001 12
2002 11
2003 21
2004 10
2005 23
2006 24
2007 32
2008 29
2009 16
2010 17
2011 25
2012 20
2013 24
2014 9
2015 8
2016 11
2017 20
2018 17
2019 21
2020 32
2021 23
2022 46
2023 42
2024 35
2025 17
Total 741
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Joel H. Saltz 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 Joel H. Saltz sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 572–581 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 575 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43 575
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Joel H. Saltz 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 Joel H. Saltz sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 82–83 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 82 D-Index — 94th percentile

94% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113 82
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Joel H. Saltz is affiliated with Stony Brook University in the United States. Their research spans significant contributions in medicine and computer science, with a particular focus on applications of artificial intelligence and medical imaging.

The main fields of study covered in their work include:

  • Medicine
  • Computer Science

Within these broader areas, their subfields of expertise include:

  • Artificial Intelligence
  • Radiology, Nuclear Medicine and Imaging
  • Computer Vision and Pattern Recognition
  • Oncology
  • Biophysics

Joel H. Saltz's research themes and topics concentrate on:

  • AI in cancer detection
  • Radiomics and Machine Learning in Medical Imaging
  • Cell Image Analysis Techniques
  • COVID-19 Clinical Research Studies
  • Digital Imaging for Blood Diseases
  • Long-Term Effects of COVID-19
  • Machine Learning in Healthcare

Their publication record includes articles in notable venues such as:

  • arXiv (Cornell University)
  • UNC Libraries
  • bioRxiv (Cold Spring Harbor Laboratory)
  • Journal of the American Medical Informatics Association
  • Cancer Research

Significant recent papers authored or co-authored by Joel H. Saltz include:

  • AI in Medical Imaging Informatics: Current Challenges and Future Directions, 2020, IEEE Journal of Biomedical and Health Informatics
  • The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment, 2020, Journal of the American Medical Informatics Association
  • Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative, 2021, JAMA Network Open
  • Characterizing Long COVID: Deep Phenotype of a Complex Condition, 2021, EBioMedicine
  • Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer, 2020, npj Breast Cancer

Frequent collaborators in their research efforts include:

  • Tahsin Kurç
  • Rajarsi Gupta
  • Christopher G. Chute
  • Mary Saltz
  • Melissa Haendel

Best Publications

  • Analysis of the clustering properties of the Hilbert space-filling curve

    B. Moon;H.V. Jagadish;C. Faloutsos;J.H. Saltz

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

    Joel Saltz;Rajarsi Gupta;Le Hou;Tahsin Kurc

  • Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification

    Le Hou;Dimitris Samaras;Tahsin M. Kurc;Yi Gao

  • Hadoop GIS: a high performance spatial data warehousing system over mapreduce

    Ablimit Aji;Fusheng Wang;Hoang Vo;Rubao Lee

  • Caveats for the use of operational electronic health record data in comparative effectiveness research.

    William R. Hersh;Mark G. Weiner;Peter J. Embi;Judith R. Logan

  • Active disks: programming model, algorithms and evaluation

    Anurag Acharya;Mustafa Uysal;Joel Saltz

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

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

  • The National COVID Cohort Collaborative (N3C): Rationale, Design, Infrastructure, and Deployment.

    Melissa A Haendel;Melissa A Haendel;Christopher G Chute;Tellen D Bennett;David A Eichmann

  • MR imaging predictors of molecular profile and survival: Multi-institutional study of the TCGA glioblastoma data set

    David A. Gutman;Lee A.D. Cooper;Scott N. Hwang;Chad A. Holder

  • Run-time parallelization and scheduling of loops

    J.H. Saltz;R. Mirchandaney;K. Crowley

  • Communication optimizations for irregular scientific computations on distributed memory architectures

    Raja Das;Mustafa Uysal;Joel Saltz;Yuan-Shin Hwang

  • Sumatra: A Language for Resource-Aware Mobile Programs

    Anurag Acharya;M. Ranganathan;Joel H. Saltz

  • Run-time scheduling and execution of loops on message passing machines

    Joel Saltz;Kathleen Crowley;Kathleen Crowley;Ravi Mirchandaney;Ravi Mirchandaney;Harry Berryman

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

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

  • Computer-aided prognosis of neuroblastoma on whole-slide images: Classification of stromal development

    O. Sertel;J. Kong;H. Shimada;U. V. Catalyurek

  • 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

  • PanCancer insights from The Cancer Genome Atlas: the pathologist's perspective.

    Lee Alex Donald Cooper;Lee Alex Donald Cooper;Elizabeth G. Demicco;Joel H. Saltz;Reid T. Powell

  • Clinical Characterization and Prediction of Clinical Severity of SARS-CoV-2 Infection Among US Adults Using Data From the US National COVID Cohort Collaborative.

    Tellen D. Bennett;Richard A. Moffitt;Janos G. Hajagos;Benjamin Amor

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

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

  • Digital dynamic telepathology--the Virtual Microscope.

    Asmara Afework;Michael D. Beynon;Fabian E. Bustamante;Soon Cho

  • Histopathological Image Analysis Using Model-Based Intermediate Representations and Color Texture: Follicular Lymphoma Grading

    Olcay Sertel;Jun Kong;Umit V. Catalyurek;Gerard Lozanski

  • Run-Time Parallelization and Scheduling of Loops. Revision

    Joel H. Saltz;Ravi Mirchandaney;Kay Crowley

Frequent Co-Authors

Tahsin Kurc
Tahsin Kurc Stony Brook University
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Alan Sussman
Alan Sussman University of Maryland, College Park
Lee Cooper
Lee Cooper Northwestern University
Fusheng Wang
Fusheng Wang Stony Brook University
Dimitris Samaras
Dimitris Samaras Stony Brook University
Daniel J. Brat
Daniel J. Brat Northwestern University
Metin N. Gurcan
Metin N. Gurcan Wake Forest University
P. Sadayappan
P. Sadayappan University of Utah
Carlos S. Moreno
Carlos S. Moreno Emory University

External Links

Personal website of Joel H. Saltz Google Scholar page

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Best Scientists Citing Joel H. Saltz

Alok Choudhary

Alok Choudhary

Northwestern University

Publications: 53

Ümit V. Çatalyürek

Ümit V. Çatalyürek

Georgia Institute of Technology

Publications: 46

Metin N. Gurcan

Metin N. Gurcan

Wake Forest University

Publications: 44

Geoffrey C. Fox

Geoffrey C. Fox

University of Virginia

Publications: 43

Ian Foster

Ian Foster

University of Chicago

Publications: 43

Nasir M. Rajpoot

Nasir M. Rajpoot

University of Warwick

Publications: 41

Gagan Agrawal

Gagan Agrawal

Augusta University

Publications: 41

Manish Parashar

Manish Parashar

University of Utah

Publications: 41

Ken Kennedy

Ken Kennedy

Rice University

Publications: 36

Alan Sussman

Alan Sussman

University of Maryland, College Park

Publications: 32

Karsten Schwan

Karsten Schwan

Georgia Institute of Technology

Publications: 32

Lawrence Rauchwerger

Lawrence Rauchwerger

University of Illinois at Urbana-Champaign

Publications: 31

Fusheng Wang

Fusheng Wang

Stony Brook University

Publications: 31

Mahmut Kandemir

Mahmut Kandemir

Pennsylvania State University

Publications: 31

Sanjay Ranka

Sanjay Ranka

University of Florida

Publications: 30

Yves Robert

Yves Robert

École Normale Supérieure de Lyon

Publications: 28

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