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D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 49 4345 4176 286 268 290 8519

Atilla Incecik publications per year

The chart shows the history of publications by Atilla Incecik between 1988 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Atilla Incecik published across 38 years, from 1988 to 2025, averaging 8.4 papers a year. Output peaked at 25 publications in 2023. 36 of the 318 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1988 to 2025. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2023. 1988: 1 publication 1989: 1 publication 1990: 0 publications 1991: 0 publications 1992: 1 publication 1993: 0 publications 1994: 0 publications 1995: 1 publication 1996: 3 publications 1997: 2 publications 1998: 1 publication 1999: 0 publications 2000: 2 publications 2001: 2 publications 2002: 4 publications 2003: 5 publications 2004: 4 publications 2005: 6 publications 2006: 6 publications 2007: 9 publications 2008: 3 publications 2009: 3 publications 2010: 5 publications 2011: 11 publications 2012: 6 publications 2013: 13 publications 2014: 24 publications 2015: 15 publications 2016: 21 publications 2017: 12 publications 2018: 12 publications 2019: 21 publications 2020: 18 publications 2021: 23 publications 2022: 22 publications 2023: 25 publications 2024: 17 publications 2025: 19 publications
1988 2025

318 publications in total across all disciplines

View publications per year as a table
Atilla Incecik: publications per year, 1988 to 2025
Year Publications
1988 1
1989 1
1990 0
1991 0
1992 1
1993 0
1994 0
1995 1
1996 3
1997 2
1998 1
1999 0
2000 2
2001 2
2002 4
2003 5
2004 4
2005 6
2006 6
2007 9
2008 3
2009 3
2010 5
2011 11
2012 6
2013 13
2014 24
2015 15
2016 21
2017 12
2018 12
2019 21
2020 18
2021 23
2022 22
2023 25
2024 17
2025 19
Total 318
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Atilla Incecik 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 Atilla Incecik 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, 288–297 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: 290 publications — 74th percentile

74% 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
288–297 203 290
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
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Atilla Incecik 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 Atilla Incecik 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, 49 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: 49 D-Index — 57th percentile

57% 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
42 426
43 380
44 310
45 341
46 301
47 306
48 271
49 246 49
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
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Overview

Atilla Incecik is affiliated with the University of Strathclyde in the United Kingdom and specializes in the field of engineering with a particular focus on ocean engineering and related subfields. Their research spans multiple disciplines, including ocean engineering, computational mechanics, earth-surface processes, mechanical engineering, and environmental engineering.

The scientist's work covers a range of topics with emphasis on wave and wind energy systems, fluid dynamics simulations and interactions, ship hydrodynamics and maneuverability, fluid dynamics and vibration analysis, coastal and marine dynamics, maritime transport emissions and efficiency, and wind energy research and development.

Frequent publication venues for Atilla Incecik include Ocean Engineering, Applied Ocean Research, SSRN Electronic Journal, Renewable Energy, and Energy. These platforms reflect their focus on applied research in engineering and energy systems related to marine and coastal environments.

Their collaborative network comprises several frequent coauthors, among them Zhiming Yuan, Tahsin Tezdogan, Saishuai Dai, Yong Cheng, and Zhixiong Li, indicating active involvement in research partnerships, often yielding multiple joint publications.

Selected recent papers showcase the diversity and depth of their research interests. These publications include:

  • Experimental and numerical investigation of WEC-type floating breakwaters: A single-pontoon oscillating buoy and a dual-pontoon oscillating water column (2022, Coastal Engineering)
  • Experimental and numerical analysis of a hybrid WEC-breakwater system combining an oscillating water column and an oscillating buoy (2022, Renewable and Sustainable Energy Reviews)
  • Recent progress on reliability analysis of offshore wind turbine support structures considering digital twin solutions (2021, Ocean Engineering)
  • Renewable energy storage and sustainable design of hybrid energy powered ships: A case study (2021, Journal of Energy Storage)
  • A novel ensemble deep learning model for cutting tool wear monitoring using audio sensors (2022, Journal of Manufacturing Processes)

The volume and range of publications indicate that Atilla Incecik's research activities consistently address contemporary challenges in marine and renewable energy engineering. Their work on wave energy converters (WECs) and hybrid systems integrates experimental and numerical methods to advance understanding of energy harnessing from ocean waves.

Atilla Incecik's research also explores the reliability of offshore wind turbine support structures through advanced digital twin technologies, contributing to the safety and efficiency of offshore wind energy installations.

In addition, their investigation into renewable energy storage and sustainable hybrid ship design addresses the intersection of marine transportation and environmental sustainability, while their development of machine learning models for tool wear monitoring highlights an interdisciplinary approach linking engineering with computational techniques.

Best Publications

  • Full-scale unsteady RANS CFD simulations of ship behaviour and performance in head seas due to slow steaming

    Tahsin Tezdogan;Yigit Kemal Demirel;Paula Kellett;Mahdi Khorasanchi

  • Loads for use in the design of ships and offshore structures

    S.E. Hirdaris;W. Bai;Daniele Dessi;Ayşen Ergin

  • Establishing a fully coupled CFD analysis tool for floating offshore wind turbines

    Yuanchuan Liu;Qing Xiao;Atilla Incecik;Christophe Peyrard

  • Predicting the effect of biofouling on ship resistance using CFD

    Yigit Kemal Demirel;Osman Turan;Atilla Incecik

  • Experimental and numerical analysis of a hybrid WEC-breakwater system combining an oscillating water column and an oscillating buoy

    Unknown

  • A semi-empirical ship operational performance prediction model for voyage optimization towards energy efficient shipping

    Ruihua Lu;Osman Turan;Evangelos Boulougouris;Charlotte Banks

  • Review and application of Rainflow residue processing techniques for accurate fatigue damage estimation

    Gabriel Marsh;Colin Wignall;Philipp R. Thies;Nigel Barltrop;Nigel Barltrop

  • Estimation of added resistance and ship speed loss in a seaway

    Mingyu Kim;Olgun Hizir;Osman Turan;Sandy Day

  • Experimental and numerical analysis of a TLP floating offshore wind turbine

    Elif Oguz;David Clelland;Alexander H. Day;Atilla Incecik

  • Computation of ultimate strength of locally corroded unstiffened plates under uniaxial compression

    Duo Ok;Yongchang Pu;Atilla Incecik

  • Experimental study of a new type of floating breakwater

    Chun-Yan Ji;Xiang Chen;Jie Cui;Zhi-Ming Yuan

  • A novel ensemble deep learning model for cutting tool wear monitoring using audio sensors

    Unknown

  • A CFD model for the frictional resistance prediction of antifouling coatings

    Yigit Kemal Demirel;Mahdi Khorasanchi;Osman Turan;Atilla Incecik

  • Renewable energy storage and sustainable design of hybrid energy powered ships: A case study

    Mingyang Huang;Wei He;Atilla Incecik;Andrzej Cichon

  • Numerical investigation of the behaviour and performance of ships advancing through restricted shallow waters

    Momchil Terziev;Tahsin Tezdogan;Elif Oguz;Tim Gourlay

  • Full-scale unsteady RANS simulations of vertical ship motions in shallow water

    Tahsin Tezdogan;Atilla Incecik;Osman Turan

  • Structural fatigue life prediction considering model uncertainties through a novel digital twin-driven approach

    Unknown

  • Investigating the effect of biofouling on propeller characteristics using CFD

    David Owen;Yigit Kemal Demirel;Elif Oguz;Tahsin Tezdogan

  • A numerical investigation of the squat and resistance of ships advancing through a canal using CFD

    Tahsin Tezdogan;Atilla Incecik;Osman Turan

  • An experimental investigation of motion control devices for truss spars

    M.J Downie;J.M.R Graham;C Hall;A Incecik

  • Artificial neural networks and their application to assessment of ultimate strength of plates with pitting corrosion

    Duo Ok;Yongchang Pu;Atilla Incecik

  • Numerical studies on added resistance and motions of KVLCC2 in head seas for various ship speeds

    Mingyu Kim;Olgun Guven Hizir;Osman Turan;Atilla Incecik

  • Analytical solutions of the diffraction problem of a group of truncated vertical cylinders

    Oguz Yılmaz;Atilla Incecik

Frequent Co-Authors

Qing Xiao
Qing Xiao University of Strathclyde
Lars Johanning
Lars Johanning University of Exeter
Mehmet Atlar
Mehmet Atlar University of Strathclyde
Jani Romanoff
Jani Romanoff Aalto University
Grzegorz Krolczyk
Grzegorz Krolczyk Opole University of Technology
Xu Han
Xu Han Hebei University of Technology
C. Guedes Soares
C. Guedes Soares Instituto Superior Técnico
Yordan Garbatov
Yordan Garbatov Instituto Superior Técnico
Munish Kumar Gupta
Munish Kumar Gupta Opole University of Technology
Weihua Li
Weihua Li University of Wollongong

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