World's Best Scientists 2026 revealed!

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 32 12994 12610 5239 4996 156 5731

Justin P. Haldar publications per year

The chart shows the history of publications by Justin P. Haldar between 2003 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Justin P. Haldar published across 23 years, from 2003 to 2025, averaging 7.1 papers a year. Output peaked at 14 publications in 2011. 21 of the 164 publications appeared in the last two years.

No. of publications
5 10
Bar chart. Horizontal axis: year, 2003 to 2025. Vertical axis: number of publications, 0 to 14. Peak 14 publications in 2011. 2003: 1 publication 2004: 0 publications 2005: 2 publications 2006: 4 publications 2007: 4 publications 2008: 7 publications 2009: 6 publications 2010: 10 publications 2011: 14 publications 2012: 6 publications 2013: 9 publications 2014: 5 publications 2015: 8 publications 2016: 5 publications 2017: 7 publications 2018: 10 publications 2019: 13 publications 2020: 10 publications 2021: 9 publications 2022: 6 publications 2023: 7 publications 2024: 14 publications 2025: 7 publications
2003 2025

164 publications in total across all disciplines

View publications per year as a table
Justin P. Haldar: publications per year, 2003 to 2025
Year Publications
2003 1
2004 0
2005 2
2006 4
2007 4
2008 7
2009 6
2010 10
2011 14
2012 6
2013 9
2014 5
2015 8
2016 5
2017 7
2018 10
2019 13
2020 10
2021 9
2022 6
2023 7
2024 14
2025 7
Total 164
Download as CSV

Justin P. Haldar 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 Justin P. Haldar 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, 152–161 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: 156 publications — 29th percentile

29% 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
152–161 559 156
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
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

Justin P. Haldar 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 Justin P. Haldar 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, 32–33 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: 32 D-Index — 10th percentile

10% 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 32
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
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

Justin P. Haldar is affiliated with the University of Southern California in the United States. Their research focuses on the field of Medicine, with a strong emphasis on Radiology, Nuclear Medicine and Imaging, supported by 93 publications in this subfield. Additional areas of study include Computational Mechanics, Cognitive Neuroscience, Biomedical Engineering, and Atomic and Molecular Physics, and Optics.

The scientist's work addresses several main topics such as Advanced MRI Techniques and Applications, Advanced Neuroimaging Techniques and Applications, and Medical Imaging Techniques and Applications. Other notable research themes include Sparse and Compressive Sensing Techniques, MRI in cancer diagnosis, Atomic and Subatomic Physics Research, and Functional Brain Connectivity Studies.

Frequent coauthors collaborating with Justin P. Haldar include Kawin Setsompop, Congyu Liao, Richard M. Leahy, Rodrigo A. Lobos, and Chin-Cheng Chan.

Common publication venues for their research are diverse and include Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition, arXiv (Cornell University), Magnetic Resonance in Medicine, bioRxiv (Cold Spring Harbor Laboratory), and IEEE Transactions on Computational Imaging.

Among recent papers authored or coauthored by Justin P. Haldar are:

  • Combined diffusion-relaxometry microstructure imaging: Current status and future prospects, 2021, Magnetic Resonance in Medicine
  • Linear Predictability in Magnetic Resonance Imaging Reconstruction: Leveraging Shift-Invariant Fourier Structure for Faster and Better Imaging, 2020, IEEE Signal Processing Magazine
  • A hybrid high-resolution anatomical MRI atlas with sub-parcellation of cortical gyri using resting fMRI, 2022, Journal of Neuroscience Methods
  • Multidimensional correlation spectroscopic imaging of exponential decays: From theoretical principles to in vivo human applications, 2020, NMR in Biomedicine
  • Region-optimized virtual (ROVir) coils: Localization and/or suppression of spatial regions using sensor-domain beamforming, 2021, Magnetic Resonance in Medicine

Best Publications

  • Accelerating advanced MRI reconstructions on GPUs

    S. S. Stone;J. P. Haldar;S. C. Tsao;W. m. W. Hwu

  • Robust water/fat separation in the presence of large field inhomogeneities using a graph cut algorithm.

    Diego Hernando;P. Kellman;J. P. Haldar;Z.-P. Liang

  • Low-Rank Modeling of Local $k$ -Space Neighborhoods (LORAKS) for Constrained MRI

    Justin P. Haldar

  • Image Reconstruction From Highly Undersampled $( {f k}, {t})$ -Space Data With Joint Partial Separability and Sparsity Constraints

    Bo Zhao;J. P. Haldar;A. G. Christodoulou;Zhi-Pei Liang

  • Compressed-Sensing MRI With Random Encoding

    J P Haldar;D Hernando;Zhi-Pei Liang

  • Joint estimation of water/fat images and field inhomogeneity map

    Diego Hernando;J. P. Haldar;B. P. Sutton;Jingfei Ma

  • Spatiotemporal imaging with partially separable functions: A matrix recovery approach

    Justin P. Haldar;Zhi-Pei Liang

  • Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorization

    J.P. Haldar;D. Hernando

  • P‐LORAKS: Low‐rank modeling of local k‐space neighborhoods with parallel imaging data

    Justin P. Haldar;Jingwei Zhuo

  • Low rank matrix recovery for real-time cardiac MRI

    Bo Zhao;Justin P. Haldar;Cornelius Brinegar;Zhi-Pei Liang

  • Accelerating advanced mri reconstructions on gpus

    Samuel S. Stone;Justin P. Haldar;Stephanie C. Tsao;Wen-mei W. Hwu

  • Anatomically constrained reconstruction from noisy data

    Justin P. Haldar;Diego Hernando;Sheng Kwei Song;Zhi Pei Liang

  • Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cramér-Rao Bound Meets Spin Dynamics

    Bo Zhao;Justin P. Haldar;Congyu Liao;Dan Ma

  • Diffusion-relaxation correlation spectroscopic imaging: A multidimensional approach for probing microstructure.

    Daeun Kim;Eamon K. Doyle;Jessica L. Wisnowski;Joong Hee Kim

  • Co-registration and distortion correction of diffusion and anatomical images based on inverse contrast normalization.

    Chitresh Bhushan;Justin P. Haldar;Soyoung Choi;Anand A. Joshi

  • Improved diffusion imaging through SNR-enhancing joint reconstruction

    Justin P. Haldar;Van J. Wedeen;Marzieh Nezamzadeh;Marzieh Nezamzadeh;Guangping Dai

  • Individual parcellation of resting fMRI with a group functional connectivity prior.

    M. Chong;C. Bhushan;A.A. Joshi;S. Choi

  • Denoising diffusion-weighted magnitude MR images using rank and edge constraints.

    Fan Lam;S. Derin Babacan;Justin P. Haldar;Michael W. Weiner;Michael W. Weiner

  • Combined diffusion-relaxometry microstructure imaging: Current status and future prospects.

    Paddy J Slator;Marco Palombo;Karla L Miller;Carl-Fredrik Westin

  • Improving parallel imaging by jointly reconstructing multi-contrast data.

    Berkin Bilgic;Tae Hyung Kim;Congyu Liao;Mary Kate Manhard

  • An equal start: absence of group differences in cognitive, social, and neural measures prior to music or sports training in children

    Assal Habibi;Beatriz Ilari;Kevin Crimi;Michael Metke

  • Optimal Experiment Design for Magnetic Resonance Fingerprinting: Cram'er-Rao Bound Meets Spin Dynamics

    Bo Zhao;Justin P. Haldar;Congyu Liao;Dan Ma

Frequent Co-Authors

Zhi-Pei Liang
Zhi-Pei Liang University of Illinois at Urbana-Champaign
Richard M. Leahy
Richard M. Leahy University of Southern California
Bradley P. Sutton
Bradley P. Sutton University of Illinois at Urbana-Champaign
Kawin Setsompop
Kawin Setsompop Stanford University
Wen-mei W. Hwu
Wen-mei W. Hwu University of Illinois at Urbana-Champaign
Bo Zhao
Bo Zhao Stanford University
Norbert Schuff
Norbert Schuff University of California, San Francisco
Krishna S. Nayak
Krishna S. Nayak University of Southern California
Lawrence L. Wald
Lawrence L. Wald Harvard University
Hanna Damasio
Hanna Damasio University of Southern California

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 a Computer Science degree in the USA is just one avenue toward a rewarding career in technology and innovation. Students interested in applying their skills to sustainability may consider an online environmental engineering degree science and engineering. This path blends computer science fundamentals with environmental problem-solving.

If engineering piques your interest, examining the mechanical engineering cost of education can help you plan financially for a similar, tech-driven career. Mechanical engineering shares core STEM principles with computer science, making it a versatile option.

For those passionate about scientific theory and analytical thinking, earning a physics degree online is another flexible opportunity. Physics often overlaps with computational methods, simulation, and data analysis.

Interested in one of the fastest-growing fields? Check out data science degrees for information on affordable programs. Data science combines computer science, statistics, and domain-specific knowledge, opening doors to a wide range of high-demand careers.

Best Scientists Citing Justin P. Haldar

Trending Scientists

Recently Published Articles