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Polina Golland

Polina Golland

MIT
United States

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 58 3531 3432 1702 1642 271 24695

Polina Golland publications per year

The chart shows the history of publications by Polina Golland between 1996 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Polina Golland published across 31 years, from 1996 to 2026, averaging 11.5 papers a year. Output peaked at 31 publications in 2022. 11 of the 356 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1996 to 2026. Vertical axis: number of publications, 0 to 31. Peak 31 publications in 2022. 1996: 1 publication 1997: 2 publications 1998: 4 publications 1999: 4 publications 2000: 2 publications 2001: 3 publications 2002: 3 publications 2003: 3 publications 2004: 0 publications 2005: 5 publications 2006: 6 publications 2007: 13 publications 2008: 16 publications 2009: 25 publications 2010: 21 publications 2011: 9 publications 2012: 11 publications 2013: 9 publications 2014: 17 publications 2015: 18 publications 2016: 9 publications 2017: 16 publications 2018: 9 publications 2019: 19 publications 2020: 24 publications 2021: 22 publications 2022: 31 publications 2023: 23 publications 2024: 20 publications 2025: 10 publications 2026: 1 publication
1996 2026

356 publications in total across all disciplines

View publications per year as a table
Polina Golland: publications per year, 1996 to 2026
Year Publications
1996 1
1997 2
1998 4
1999 4
2000 2
2001 3
2002 3
2003 3
2004 0
2005 5
2006 6
2007 13
2008 16
2009 25
2010 21
2011 9
2012 11
2013 9
2014 17
2015 18
2016 9
2017 16
2018 9
2019 19
2020 24
2021 22
2022 31
2023 23
2024 20
2025 10
2026 1
Total 356
Download as CSV

Polina Golland 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 Polina Golland 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, 262–271 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: 271 publications — 67th percentile

67% 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
262–271 301 271
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

Polina Golland 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 Polina Golland 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, 58–59 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: 58 D-Index — 75th percentile

75% 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 58
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

Polina Golland is affiliated with MIT in the United States and has an extensive body of research primarily in the fields of Medicine and Computer Science. Their work integrates advanced techniques in medical imaging and computational analysis, contributing to multiple subfields such as Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Pediatrics, Perinatology and Child Health, Artificial Intelligence, and Pulmonary and Respiratory Medicine.

Their research addresses significant topics including Fetal and Pediatric Neurological Disorders, Domain Adaptation and Few-Shot Learning, Neonatal and Fetal Brain Pathology, Advanced Neuroimaging Techniques and Applications, Advanced MRI Techniques and Applications, Medical Imaging Techniques and Applications, and Medical Image Segmentation Techniques.

Polina Golland has published extensively in several prominent venues. These include:

  • arXiv (Cornell University)
  • 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
  • Lecture notes in computer science
  • Stroke
  • IEEE Transactions on Medical Imaging

Frequent collaborators in Golland's work include Esra Abacı Türk, P. Ellen Grant, Elfar Adalsteinsson, Adrian V. Dalca, and Natalia S. Rost, with multiple joint publications recorded for each.

Notable recent publications by Polina Golland include:

  • "SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry" (2023, Science Advances)
  • "Computer-Aided Detection Improves Adenomas per Colonoscopy for Screening and Surveillance Colonoscopy: A Randomized Trial" (2022, Gastroenterology)
  • "Cognitive Impairment and Dementia After Stroke: Design and Rationale for the DISCOVERY Study" (2021, Stroke)
  • "NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI" (2023, IEEE Transactions on Medical Imaging)
  • "The Alzheimer's Disease Prediction Of Longitudinal Evolution (TADPOLE) Challenge: Results after 1 Year Follow-up" (2021, The Journal of Machine Learning for Biomedical Imaging)

Best Publications

  • The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

    Bjoern H. Menze;Andras Jakab;Stefan Bauer;Jayashree Kalpathy-Cramer

  • CellProfiler: image analysis software for identifying and quantifying cell phenotypes

    Anne E Carpenter;Thouis R Jones;Michael R Lamprecht;Colin Clarke

  • CellProfiler Analyst: data exploration and analysis software for complex image-based screens

    Thouis R Jones;Thouis R Jones;In Han Kang;Douglas B Wheeler;Robert A Lindquist

  • A Generative Model for Image Segmentation Based on Label Fusion

    Mert R Sabuncu;B T Thomas Yeo;K Van Leemput;Bruce Fischl

  • Automated segmentation of hippocampal subfields from ultra‐high resolution in vivo MRI

    Koen Van Leemput;Koen Van Leemput;Akram Bakkour;Thomas Benner;Graham Wiggins

  • Scoring diverse cellular morphologies in image-based screens with iterative feedback and machine learning

    Thouis R. Jones;Thouis R. Jones;Anne E. Carpenter;Anne E. Carpenter;Michael R. Lamprecht;Jason Moffat

  • Spherical Demons: Fast Diffeomorphic Landmark-Free Surface Registration

    B.T.T. Yeo;M.R. Sabuncu;T. Vercauteren;N. Ayache

  • Permutation Tests for Classification: Towards Statistical Significance in Image-Based Studies

    Polina Golland;Bruce Fischl

  • Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012

    Nicholas Ayache;Hervé Delingette;Polina Golland;Kensaku Mori

  • A generative model for brain tumor segmentation in multi- modal images

    Bjoern H. Menze;Koen Van Leemput;Danial Lashkari;Marc-André Weber

  • A distributed spatio-temporal EEG/MEG inverse solver

    Wanmei Ou;Matti S. Hämäläinen;Polina Golland

  • Voronoi-Based segmentation of cells on image manifolds

    Thouis R. Jones;Anne Carpenter;Polina Golland

  • Method for performing stereo matching to recover depths, colors and opacities of surface elements

    Richard Stephen Szeliski;Polina Golland

  • Data-driven clustering reveals a fundamental subdivision of the human cortex into two global systems

    Yulia Golland;Polina Golland;Shlomo Bentin;Rafael Malach

  • An image analysis toolbox for high-throughput C. elegans assays

    Carolina Wählby;Carolina Wählby;Lee Kamentsky;Zihan H Liu;Tammy Riklin-Raviv

  • Stereo matching with transparency and matting

    R. Szeliski;P. Golland

  • BrainPrint: a discriminative characterization of brain morphology.

    Christian Wachinger;Polina Golland;William S. Kremen;Bruce Fischl

  • SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry

    Unknown

  • Whole brain resting state functional connectivity abnormalities in schizophrenia

    Archana Venkataraman;Thomas J. Whitford;Thomas J. Whitford;Carl-Fredrik Westin;Carl-Fredrik Westin;Polina Golland

  • Stereo Matching with Transparency and Matting

    Richard Szeliski;Polina Golland

  • Permutation tests for classification

    Polina Golland;Feng Liang;Sayan Mukherjee;Dmitry Panchenko

  • CellProfiler Analyst: data exploration and analysis software for complex image-based screens

    Douglas B. Wheeler;David M. Sabatini;In Han Kang;Polina Golland

Frequent Co-Authors

Adrian V. Dalca
Adrian V. Dalca MIT
William M. Wells
William M. Wells MIT
Bruce Fischl
Bruce Fischl Harvard University
Christian Wachinger
Christian Wachinger Technical University of Munich
Ona Wu
Ona Wu Harvard University
Koen Van Leemput
Koen Van Leemput Harvard University
P. Ellen Grant
P. Ellen Grant Boston Children's Hospital
Jonathan Rosand
Jonathan Rosand Harvard University
Georg Langs
Georg Langs Medical University of Vienna
Braxton D. Mitchell
Braxton D. Mitchell University of Maryland, Baltimore

External Links

Personal website of Polina Golland Google Scholar page

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Exploring these online degrees can help students align their technical skills with their career aspirations and adapt to evolving industry trends.

Best Scientists Citing Polina Golland

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 185

Anne E. Carpenter

Anne E. Carpenter

Broad Institute

Publications: 91

Christos Davatzikos

Christos Davatzikos

University of Pennsylvania

Publications: 82

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 71

Sebastien Ourselin

Sebastien Ourselin

King's College London

Publications: 69

Bjoern H. Menze

Bjoern H. Menze

University of Zurich

Publications: 66

Gang Li

Gang Li

University of North Carolina at Chapel Hill

Publications: 64

William M. Wells

William M. Wells

MIT

Publications: 57

Bruce Fischl

Bruce Fischl

Harvard University

Publications: 54

Bennett A. Landman

Bennett A. Landman

Vanderbilt University

Publications: 54

Weili Lin

Weili Lin

University of North Carolina at Chapel Hill

Publications: 51

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 50

Paul A. Yushkevich

Paul A. Yushkevich

University of Pennsylvania

Publications: 49

Adrian V. Dalca

Adrian V. Dalca

MIT

Publications: 44

Tom Vercauteren

Tom Vercauteren

King's College London

Publications: 39

Feng Shi

Feng Shi

United Imaging Intelligence (China)

Publications: 35

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