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Berkin Bilgic

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 40 7347 7089 2009 1863 286 6201

Berkin Bilgic publications per year

The chart shows the history of publications by Berkin Bilgic between 2010 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Berkin Bilgic published across 17 years, from 2010 to 2026, averaging 14.1 papers a year. Output peaked at 40 publications in 2025. 41 of the 240 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2010 to 2026. Vertical axis: number of publications, 0 to 40. Peak 40 publications in 2025. 2010: 3 publications 2011: 3 publications 2012: 5 publications 2013: 6 publications 2014: 4 publications 2015: 9 publications 2016: 3 publications 2017: 13 publications 2018: 14 publications 2019: 18 publications 2020: 18 publications 2021: 38 publications 2022: 21 publications 2023: 23 publications 2024: 21 publications 2025: 40 publications 2026: 1 publication
2010 2026

240 publications in total across all disciplines

View publications per year as a table
Berkin Bilgic: publications per year, 2010 to 2026
Year Publications
2010 3
2011 3
2012 5
2013 6
2014 4
2015 9
2016 3
2017 13
2018 14
2019 18
2020 18
2021 38
2022 21
2023 23
2024 21
2025 40
2026 1
Total 240
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Berkin Bilgic publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Berkin Bilgic sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: publications, 38–47 to 804+. Vertical axis: number of scientists, 0 to 457. Most scientists, 457, have 148–157 publications. The last bar groups every scientist with 804 publications or more. The highlighted bar, 278–287 publications, is where this scientist sits. 38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 135 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 118 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 60 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38–47 publications 804+

This scientist: 286 publications — 73rd percentile

73% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

View publications distribution as a table
Number of Engineering and Technology scientists by publication count, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
Publications Scientists This scientist
38–47 20
48–57 35
58–67 96
68–77 135
78–87 190
88–97 259
98–107 283
108–117 369
118–127 341
128–137 386
138–147 372
148–157 457
158–167 415
168–177 407
178–187 421
188–197 378
198–207 403
208–217 317
218–227 346
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242 286
288–297 203
298–307 166
308–317 154
318–327 175
328–337 159
338–347 99
348–357 131
358–367 106
368–377 118
378–387 97
388–397 108
398–407 82
408–417 71
418–427 64
428–437 55
438–447 54
448–457 60
458–467 47
468–477 40
478–487 30
488–497 29
498–507 38
508–517 40
518–527 32
528–537 23
538–547 28
548–557 23
558–567 19
568–577 16
578–587 17
588–597 18
598–607 22
608–617 15
618–627 9
628–637 11
638–647 21
648–657 12
658–667 9
668–677 11
678–687 9
688–697 6
698–707 14
708–717 7
718–727 8
728–737 10
738–747 9
748–757 5
758–767 5
768–777 11
778–787 7
788–797 2
798–803 4
804+ 100
Download as CSV

Berkin Bilgic D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Berkin Bilgic sits on this spectrum.

No. of scientists
100 200 300 400
Bar chart with 78 bars. Horizontal axis: D-Index, 30 to 107+. Vertical axis: number of scientists, 0 to 426. Most scientists, 426, have 42 D-Index. The last bar groups every scientist with 107 D-Index or more. The highlighted bar, 40 D-Index, is where this scientist sits. 30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 129 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 348 scientists 41 D-Index: 362 scientists 42 D-Index: 426 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 95 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 25 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 40 D-Index — 27th percentile

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

The last bar groups every scientist with 107 D-Index or more.

View D-Index distribution as a table
Number of Engineering and Technology scientists by D-index, Research.com 2026 ranking edition. Based on 9,796 ranked scientists.
D-Index Scientists This scientist
30 59
31 114
32 129
33 189
34 200
35 262
36 311
37 312
38 350
39 385
40 348 40
41 362
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246
50 210
51 253
52 213
53 221
54 195
55 186
56 170
57 167
58 166
59 144
60 152
61 141
62 138
63 131
64 118
65 114
66 119
67 95
68 87
69 77
70 89
71 69
72 54
73 46
74 55
75 54
76 49
77 53
78 46
79 28
80 39
81 36
82 24
83 26
84 36
85 18
86 25
87 19
88 26
89 27
90 23
91 15
92 12
93 9
94 15
95 10
96 13
97 13
98 9
99 7
100 7
101 8
102 7
103 7
104 9
105 6
106 9
107+ 99
Download as CSV

Overview

Berkin Bilgic is affiliated with Harvard University in the United States and specializes in the field of medicine with a focus on radiology, nuclear medicine, and imaging. Their research spans several subfields including radiation, atomic and molecular physics and optics, computer vision and pattern recognition, and biomedical engineering.

The scientist's work addresses advanced MRI techniques and applications, advanced neuroimaging techniques and applications, and medical imaging techniques and applications. Other main topics of research include MRI in cancer diagnosis, atomic and subatomic physics research, nuclear physics and applications, and functional brain connectivity studies.

Berkin Bilgic has contributed to multiple recent research publications, among them:

  • "Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the ISMRM electro-magnetic tissue properties study group," 2024, Magnetic Resonance in Medicine
  • "SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI," 2022, NeuroImage
  • "Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome," 2021, NeuroImage
  • "QSM reconstruction challenge 2.0: Design and report of results," 2021, Magnetic Resonance in Medicine
  • "DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning," 2020, NeuroImage

Frequent co-authors who collaborate with Bilgic include Susie Y. Huang, Jaejin Cho, Qiyuan Tian, Borjan Gagoski, and Yohan Jun.

Bilgic's works are published in a range of venues with notable frequency in:

  • Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
  • Magnetic Resonance in Medicine
  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • NeuroImage

Best Publications

  • MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping.

    Berkin Bilgic;Adolf Pfefferbaum;Adolf Pfefferbaum;Torsten Rohlfing;Edith V. Sullivan

  • Wave-CAIPI for highly accelerated 3D imaging

    Berkin Bilgic;Borjan A. Gagoski;Borjan A. Gagoski;Stephen F. Cauley;Audrey P. Fan;Audrey P. Fan

  • Fast quantitative susceptibility mapping using 3D EPI and total generalized variation

    Christian Langkammer;Christian Langkammer;Kristian Bredies;Benedikt A. Poser;Markus Barth

  • Fast image reconstruction with L2-regularization.

    Berkin Bilgic;Itthi Chatnuntawech;Audrey P. Fan;Kawin Setsompop

  • Quantitative susceptibility mapping: Report from the 2016 reconstruction challenge.

    Christian Langkammer;Ferdinand Schweser;Karin Shmueli;Christian Kames

  • Quantitative oxygenation venography from MRI phase

    Audrey Peiwen Fan;Audrey Peiwen Fan;Berkin Bilgic;Berkin Bilgic;Louis Gagnon;Louis Gagnon;Thomas Witzel

  • High-resolution in vivo diffusion imaging of the human brain with generalized slice dithered enhanced resolution: Simultaneous multislice (gSlider-SMS)

    Kawin Setsompop;Qiuyun Fan;Jason Stockmann;Berkin Bilgic

  • Quantitative Susceptibility Mapping using Deep Neural Network: QSMnet

    Jaeyeon Yoon;Enhao Gong;Itthi Chatnuntawech;Berkin Bilgic

  • Multi-contrast reconstruction with Bayesian compressed sensing.

    Berkin Bilgic;Vivek K Goyal;Elfar Adalsteinsson

  • Connectome 2.0: Developing the next-generation ultra-high gradient strength human MRI scanner for bridging studies of the micro-, meso- and macro-connectome.

    Susie Yi Huang;Thomas Witzel;Boris Keil;Alina Scholz

  • Fast quantitative susceptibility mapping with L1-regularization and automatic parameter selection.

    Berkin Bilgic;Audrey P. Fan;Audrey P. Fan;Jonathan R. Polimeni;Stephen F. Cauley

  • Echo planar time-resolved imaging (EPTI).

    Fuyixue Wang;Fuyixue Wang;Zijing Dong;Zijing Dong;Timothy G. Reese;Berkin Bilgic

  • DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning.

    Qiyuan Tian;Berkin Bilgic;Berkin Bilgic;Qiuyun Fan;Congyu Liao

  • 3D MR fingerprinting with accelerated stack-of-spirals and hybrid sliding-window and GRAPPA reconstruction.

    Congyu Liao;Berkin Bilgic;Mary Kate Manhard;Bo Zhao

  • Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model

    Melissa W. Haskell;Stephen F. Cauley;Berkin Bilgic;Julian Hossbach

  • Recommended implementation of quantitative susceptibility mapping for clinical research in the brain: A consensus of the <scp>ISMRM</scp> electro‐magnetic tissue properties study group

    Unknown

  • Efficient integral image computation on the GPU

    Berkin Bilgic;Berthold K.P. Horn;Ichiro Masaki

  • RARE/turbo spin echo imaging with Simultaneous Multislice Wave-CAIPI.

    Borjan A. Gagoski;Borjan A. Gagoski;Berkin Bilgic;Cornelius Eichner;Cornelius Eichner;Himanshu Bhat

  • Accelerated Diffusion Spectrum Imaging with Compressed Sensing using Adaptive Dictionaries

    Berkin Bilgic;Kawin Setsompop;Julien Cohen-Adad;Anastasia Yendiki

  • Fast nonlinear susceptibility inversion with variational regularization.

    Carlos Milovic;Berkin Bilgic;Bo Zhao;Julio Acosta-Cabronero

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

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

  • Fast quantitative susceptibility mapping with L1-regularization and automatic parameter selection

    Berkin Bilgic;Audrey P. Fan;Jonathan R. Polimeni;Stephen F. Cauley

  • Fast image reconstruction with L2-regularization

    Berkin Bilgic;Itthi Chatnuntawech;Audrey P. Fan;Kawin Setsompop

Frequent Co-Authors

Kawin Setsompop
Kawin Setsompop Stanford University
Lawrence L. Wald
Lawrence L. Wald Harvard University
Thomas Witzel
Thomas Witzel Harvard University
Anastasia Yendiki
Anastasia Yendiki Harvard University
P. Ellen Grant
P. Ellen Grant Boston Children's Hospital
Bo Zhao
Bo Zhao Stanford University
Julien Cohen-Adad
Julien Cohen-Adad Polytechnique Montréal
Jean C. Augustinack
Jean C. Augustinack Harvard University
Adolf Pfefferbaum
Adolf Pfefferbaum Stanford University
Andreas Schäfer
Andreas Schäfer University of Regensburg

External Links

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