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Metin N. Gurcan

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 41 6816 6579 1854 1719 225 10252

Metin N. Gurcan publications per year

The chart shows the history of publications by Metin N. Gurcan between 1996 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Metin N. Gurcan published across 31 years, from 1996 to 2026, averaging 12.2 papers a year. Output peaked at 37 publications in 2023. 29 of the 379 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 37. Peak 37 publications in 2023. 1996: 3 publications 1997: 2 publications 1998: 4 publications 1999: 3 publications 2000: 1 publication 2001: 5 publications 2002: 5 publications 2003: 1 publication 2004: 0 publications 2005: 0 publications 2006: 4 publications 2007: 10 publications 2008: 12 publications 2009: 20 publications 2010: 20 publications 2011: 14 publications 2012: 10 publications 2013: 12 publications 2014: 9 publications 2015: 14 publications 2016: 12 publications 2017: 18 publications 2018: 22 publications 2019: 22 publications 2020: 18 publications 2021: 24 publications 2022: 13 publications 2023: 37 publications 2024: 35 publications 2025: 28 publications 2026: 1 publication
1996 2026

379 publications in total across all disciplines

View publications per year as a table
Metin N. Gurcan: publications per year, 1996 to 2026
Year Publications
1996 3
1997 2
1998 4
1999 3
2000 1
2001 5
2002 5
2003 1
2004 0
2005 0
2006 4
2007 10
2008 12
2009 20
2010 20
2011 14
2012 10
2013 12
2014 9
2015 14
2016 12
2017 18
2018 22
2019 22
2020 18
2021 24
2022 13
2023 37
2024 35
2025 28
2026 1
Total 379
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Metin N. Gurcan 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 Metin N. Gurcan 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, 218–227 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: 225 publications — 57th percentile

57% 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
218–227 346 225
228–237 321
238–247 260
248–257 280
258–267 240
268–277 214
278–287 242
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

Metin N. Gurcan 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 Metin N. Gurcan 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, 41 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: 41 D-Index — 31st percentile

31% 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
41 362 41
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

Research.com Recognitions

  • 2019 - SPIE Fellow

Overview

Metin N. Gurcan is affiliated with Wake Forest University in the United States and has contributed extensively to research in the field of Medicine, with a total of 143 publications. Their work spans several subfields, including Radiology, Nuclear Medicine and Imaging, Artificial Intelligence, Molecular Biology, Epidemiology, and Surgery.

The scientist has authored research addressing a range of topics such as AI in cancer detection, Radiomics and Machine Learning in Medical Imaging, Cell Image Analysis Techniques, Ear Surgery and Otitis Media, Reconstructive Facial Surgery Techniques, Tuberculosis Research and Epidemiology, and Digital Imaging for Blood Diseases.

Frequent co-authors collaborating with Metin N. Gurcan include Muhammad Khalid Khan Niazi, Mostafa Rezapour, Thomas E. Tavolara, Ziyu Su, and Aaron C. Moberly.

Metin N. Gurcan has published papers in various well-known venues. Some of the more frequent publication venues are bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Alzheimer's & Dementia, Cancers, and PLoS ONE.

Representative recent papers include:

  • Convolutional Neural Network-Based Clinical Predictors of Oral Dysplasia: Class Activation Map Analysis of Deep Learning Results, 2021, Cancers
  • Ki-67 assessment of pancreatic neuroendocrine neoplasms: Systematic review and meta-analysis of manual vs. digital pathology scoring, 2022, Modern Pathology
  • Cloud-Based Federated Learning Implementation Across Medical Centers, 2021, JCO Clinical Cancer Informatics
  • Bioreactor design and validation for manufacturing strategies in tissue engineering, 2021, Bio-Design and Manufacturing
  • Identification of difficult to intubate patients from frontal face images using an ensemble of deep learning models, 2021, Computers in Biology and Medicine

In addition to articles, Metin N. Gurcan has published a book titled Brain Tumor Segmentation, Grading and Patient Survival Prediction in 2023 through Frontiers Media.

The scientist was recognized as an SPIE Fellow in 2019.

Best Publications

  • Histopathological Image Analysis: A Review

    M.N. Gurcan;L.E. Boucheron;A. Can;A. Madabhushi

  • Digital pathology and artificial intelligence

    Muhammad Khalid Khan Niazi;Anil V Parwani;Metin N Gurcan

  • Diagnosis of thyroid cancer using deep convolutional neural network models applied to sonographic images: a retrospective, multicohort, diagnostic study.

    Xiangchun Li;Sheng Zhang;Qiang Zhang;Xi Wei

  • Lung nodule detection on thoracic computed tomography images: Preliminary evaluation of a computer-aided diagnosis system

    Metin N. Gurcan;Berkman Sahiner;Nicholas Petrick;Heang Ping Chan

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

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

  • Partitioning Histopathological Images: An Integrated Framework for Supervised Color-Texture Segmentation and Cell Splitting

    Hui Kong;M. Gurcan;K. Belkacem-Boussaid

  • Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization

    B. Sahiner;N. Petrick;Heang-Ping Chan;L.M. Hadjiiski

  • Computerized classification of intraductal breast lesions using histopathological images

    M M Dundar;S Badve;G Bilgin;V Raykar

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

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

  • Computer-aided evaluation of neuroblastoma on whole-slide histology images: Classifying grade of neuroblastic differentiation

    J. Kong;O. Sertel;H. Shimada;K. L. Boyer

  • Content-Based Microscopic Image Retrieval System for Multi-Image Queries

    H. C. Akakin;M. N. Gurcan

  • Image analysis for neuroblastoma classification: segmentation of cell nuclei.

    Metin N. Gurcan;Tony Pan;Hiroyuki Shimada;Joel H. Saltz

  • Coordinating the use of GPU and CPU for improving performance of compute intensive applications

    G. Teodoro;R. Sachetto;O. Sertel;M.N. Gurcan

  • Detection of microcalcifications in mammograms using higher order statistics

    M.N. Gurcan;Y. Yardimci;A.E. Cetin;R. Ansari

  • Computer-Aided Detection of Centroblasts for Follicular Lymphoma Grading Using Adaptive Likelihood-Based Cell Segmentation

    O Sertel;G Lozanski;M N Gurcan

  • Convolutional Neural Network-Based Clinical Predictors of Oral Dysplasia: Class Activation Map Analysis of Deep Learning Results.

    Seda Camalan;Hanya Mahmood;Hamidullah Binol;Anna Luiza Damaceno Araújo

  • Analysis of temporal changes of mammographic features: computer-aided classification of malignant and benign breast masses.

    Lubomir Hadjiiski;Berkman Sahiner;Heang-Ping Chan;Nicholas Petrick

  • Semi-automated segmentation to assess the lateral meniscus in normal and osteoarthritic knees.

    M.S. Swanson;J.W. Prescott;T.M. Best;K. Powell

  • Feature-based registration of histopathology images with different stains: An application for computerized follicular lymphoma prognosis

    Lee Cooper;Olcay Sertel;Jun Kong;Gerard Lozanski

  • Adaptive Discriminant Wavelet Packet Transform and Local Binary Patterns for Meningioma Subtype Classification

    Hammad Qureshi;Olcay Sertel;Nasir Rajpoot;Roland Wilson

  • Optimal neural network architecture selection: improvement in computerized detection of microcalcifications.

    Metin N. Gurcan;Heang Ping Chan;Berkman Sahiner;Lubomir Hadjiiski

  • Automatic graph-cut based segmentation of bones from knee magnetic resonance images for osteoarthritis research

    Sufyan Y. Ababneh;Jeffrey W. Prescott;Metin N. Gurcan

  • Texture classification using nonlinear color quantization: Application to histopathological image analysis

    O. Sertel;Jun Kong;G. Lozanski;A. Shana'ah

  • Vessel segmentation from abdominal magnetic resonance images: adaptive and reconstructive approach.

    Evgin Goceri;Zarine K. Shah;Metin N. Gurcan

  • Optimized generation of high-resolution phantom images using cGAN: Application to quantification of Ki67 breast cancer images

    Caglar Senaras;Muhammad Khalid Khan Niazi;Berkman Sahiner;Michael P. Pennell

  • Computerized microscopic image analysis of follicular lymphoma

    Olcay Sertel;Jun Kong;Gerard Lozanski;Ümit V. Çatalyürek

Frequent Co-Authors

Joel H. Saltz
Joel H. Saltz Stony Brook University
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Berkman Sahiner
Berkman Sahiner United States Food and Drug Administration
Heang Ping Chan
Heang Ping Chan University of Michigan–Ann Arbor
Lubomir M. Hadjiiski
Lubomir M. Hadjiiski University of Michigan–Ann Arbor
Anant Madabhushi
Anant Madabhushi Emory University
Nicholas Petrick
Nicholas Petrick US Food and Drug Administration
Hiroyuki Shimada
Hiroyuki Shimada Stanford University
Rebecca D. Jackson
Rebecca D. Jackson The Ohio State University
Thomas M. Best
Thomas M. Best University of Miami

External Links

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Best Scientists Citing Metin N. Gurcan

Anant Madabhushi

Anant Madabhushi

Emory University

Publications: 74

Nasir M. Rajpoot

Nasir M. Rajpoot

University of Warwick

Publications: 57

Joel H. Saltz

Joel H. Saltz

Stony Brook University

Publications: 57

Tahsin Kurc

Tahsin Kurc

Stony Brook University

Publications: 51

Heang Ping Chan

Heang Ping Chan

University of Michigan–Ann Arbor

Publications: 48

Lubomir M. Hadjiiski

Lubomir M. Hadjiiski

University of Michigan–Ann Arbor

Publications: 45

Lin Yang

Lin Yang

University of Florida

Publications: 40

Berkman Sahiner

Berkman Sahiner

United States Food and Drug Administration

Publications: 35

Lee Cooper

Lee Cooper

Northwestern University

Publications: 30

Gustavo Leone

Gustavo Leone

Medical University of South Carolina

Publications: 29

Michael C. Ostrowski

Michael C. Ostrowski

Medical University of South Carolina

Publications: 28

Mark A. Helvie

Mark A. Helvie

University of Michigan–Ann Arbor

Publications: 23

Hamid R. Tizhoosh

Hamid R. Tizhoosh

Mayo Clinic

Publications: 23

Nico Karssemeijer

Nico Karssemeijer

Radboud University

Publications: 22

Jun Wei

Jun Wei

Harbin Institute of Technology

Publications: 22

Anne L. Martel

Anne L. Martel

University of Toronto

Publications: 20

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