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Albert C. To

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Engineering and Technology 49 4310 4143 1239 1142 163 9208

Albert C. To publications per year

The chart shows the history of publications by Albert C. To between 2003 and 2026, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Albert C. To published across 24 years, from 2003 to 2026, averaging 8.5 papers a year. Output peaked at 20 publications in 2023. 11 of the 203 publications appeared in the last two years.

No. of publications
5 10 15 20
Bar chart. Horizontal axis: year, 2003 to 2026. Vertical axis: number of publications, 0 to 20. Peak 20 publications in 2023. 2003: 1 publication 2004: 2 publications 2005: 5 publications 2006: 2 publications 2007: 3 publications 2008: 4 publications 2009: 5 publications 2010: 4 publications 2011: 8 publications 2012: 4 publications 2013: 10 publications 2014: 9 publications 2015: 9 publications 2016: 9 publications 2017: 18 publications 2018: 11 publications 2019: 7 publications 2020: 17 publications 2021: 18 publications 2022: 11 publications 2023: 20 publications 2024: 15 publications 2025: 7 publications 2026: 4 publications
2003 2026

203 publications in total across all disciplines

View publications per year as a table
Albert C. To: publications per year, 2003 to 2026
Year Publications
2003 1
2004 2
2005 5
2006 2
2007 3
2008 4
2009 5
2010 4
2011 8
2012 4
2013 10
2014 9
2015 9
2016 9
2017 18
2018 11
2019 7
2020 17
2021 18
2022 11
2023 20
2024 15
2025 7
2026 4
Total 203
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Albert C. To 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 Albert C. To 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, 158–167 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: 163 publications — 33rd percentile

33% 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
158–167 415 163
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
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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Albert C. To 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 Albert C. To 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

Albert C. To is affiliated with the University of Pittsburgh in the United States. Their work primarily spans the field of Engineering, with a strong focus on Mechanical Engineering and related subfields such as Automotive Engineering, Mechanics of Materials, Civil and Structural Engineering, and Industrial and Manufacturing Engineering.

The main topics of their research include Additive Manufacturing Materials and Processes, Additive Manufacturing and 3D Printing Technologies, Welding Techniques and Residual Stresses, Topology Optimization in Engineering, Composite Structure Analysis and Optimization, High Entropy Alloys Studies, and Manufacturing Process and Optimization.

Albert C. To has contributed extensively to the scientific literature, including recent publications such as:

  • Additive manufacturing of nickel-based superalloys: A state-of-the-art review on process-structure-defect-property relationship, 2023, Progress in Materials Science
  • A review of multi-scale and multi-physics simulations of metal additive manufacturing processes with focus on modeling strategies, 2021, Additive Manufacturing
  • Invited review: Machine learning for materials developments in metals additive manufacturing, 2020, Additive Manufacturing
  • Elucidating the effect of preheating temperature on melt pool morphology variation in Inconel 718 laser powder bed fusion via simulation and experiment, 2020, Additive Manufacturing
  • Homogenization timing effect on microstructure and precipitation strengthening of 17-4PH stainless steel fabricated by laser powder bed fusion, 2022, Additive Manufacturing

The venues where Albert C. To most frequently publishes include Additive Manufacturing, SSRN Electronic Journal, arXiv (Cornell University), Computer Methods in Applied Mechanics and Engineering, and JOM.

Among their frequent collaborators, several coauthors have worked with Albert C. To on multiple occasions, indicating established research partnerships. These include Hao Deng, Shawn Hinnebusch, Wen Dong, Qian Chen, and Xavier Jimenez.

Best Publications

  • Current and future trends in topology optimization for additive manufacturing

    Jikai Liu;Andrew T. Gaynor;Shikui Chen;Zhan Kang

  • Additive Manufacturing of Nickel-based superalloys: a state-of-the-art review on process-structure-defect-property relationship

    Unknown

  • Functionally graded lattice structure topology optimization for the design of additive manufactured components with stress constraints

    Lin Cheng;Jiaxi Bai;Albert C. To

  • Efficient Design-Optimization of Variable-Density Hexagonal Cellular Structure by Additive Manufacturing: Theory and Validation

    Pu Zhang;Jakub Toman;Yiqi Yu;Emre Biyikli

  • A review of multi-scale and multi-physics simulations of metal additive manufacturing processes with focus on modeling strategies

    Mohamad Bayat;Wen Dong;Jesper Thorborg;Albert C. To

  • Finite element modeling and validation of thermomechanical behavior of Ti-6Al-4V in directed energy deposition additive manufacturing

    Qingcheng Yang;Pu Zhang;Lin Cheng;Zheng Min

  • Interplay between phononic bandgaps and piezoelectric microstructures for energy harvesting

    Stefano Gonella;Albert C. To;Wing Kam Liu

  • Efficient design optimization of variable-density cellular structures for additive manufacturing: theory and experimental validation

    Lin Cheng;Pu Zhang;Emre Biyikli;Jiaxi Bai

  • An inherent strain based multiscale modeling framework for simulating part-scale residual deformation for direct metal laser sintering

    Qian Chen;Xuan Liang;Devlin Hayduke;Jikai Liu

  • A modified method for estimating inherent strains from detailed process simulation for fast residual distortion prediction of single-walled structures fabricated by directed energy deposition

    Xuan Liang;Lin Cheng;Qian Chen;Qingcheng Yang

  • Invited review: Machine learning for materials developments in metals additive manufacturing

    N.S. Johnson;N.S. Johnson;P.S. Vulimiri;A.C. To;X. Zhang

  • On utilizing topology optimization to design support structure to prevent residual stress induced build failure in laser powder bed metal additive manufacturing

    Lin Cheng;Xuan Liang;Jiaxi Bai;Qian Chen

  • Role of anisotropic properties on topology optimization of additive manufactured load bearing structures

    Pu Zhang;Pu Zhang;Jikai Liu;Jikai Liu;Albert C. To

  • Wavelet denoising techniques with applications to experimental geophysical data

    Albert C. To;Jeffrey R. Moore;Steven D. Glaser

  • Statistical volume element method for predicting microstructure-constitutive property relations

    Xiaolei Yin;Wei Chen;Albert To;Cahal McVeigh

  • Perfectly matched multiscale simulations

    Albert C. To;Shaofan Li

  • Biomimetic staggered composites with highly enhanced energy dissipation: Modeling, 3D printing, and testing

    Pu Zhang;Mary A. Heyne;Albert C. To

  • Quantitative texture prediction of epitaxial columnar grains in additive manufacturing using selective laser melting

    Jian Liu;Albert C. To

  • Broadband wave filtering of bioinspired hierarchical phononic crystal

    Pu Zhang;Albert C. To

  • Variation of hardness, microstructure, and Laves phase distribution in direct laser deposited alloy 718 cuboids

    Erica L. Stevens;Jakub Toman;Albert C. To;Markus Chmielus

  • Coupling lattice structure topology optimization with design-dependent feature evolution for additive manufactured heat conduction design

    Lin Cheng;Jikai Liu;Xuan Liang;Albert C. To

  • Machine Learning for Materials Developments in Metals Additive Manufacturing

    N. S. Johnson;P. S. Vulimiri;A. C. To;X. Zhang

Frequent Co-Authors

Wing Kam Liu
Wing Kam Liu Northwestern University
Kevin P. Chen
Kevin P. Chen University of Pittsburgh
Shaofan Li
Shaofan Li University of California, Berkeley
Bing-Yang Cao
Bing-Yang Cao Tsinghua University
Paul R. Ohodnicki
Paul R. Ohodnicki University of Pittsburgh
Ryan B. Wicker
Ryan B. Wicker The University of Texas at El Paso
Wei Chen
Wei Chen Northwestern University
Tengfei Luo
Tengfei Luo University of Notre Dame
Stephen R. Leone
Stephen R. Leone University of California, Berkeley
Ted Belytschko
Ted Belytschko Northwestern University

External Links

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Related Online Degrees & Career Pathways

If you’re exploring Engineering and Technology studies in the USA, it’s worth considering the flexibility of online learning. Many institutions now offer 6 week college courses that let you accelerate your education and enter the workforce sooner.

Engineering and Technology students often branch into related fields that value technical and analytical skills. For instance, you might consider an accelerated online finance degree, which builds on quantitative knowledge and opens doors to financial analysis or consulting careers.

Those interested in leadership roles may find value in accelerated MBA programs. These programs offer a fast track to advanced business credentials and management opportunities, while accommodating a busy schedule.

Alternatively, engineering graduates interested in law and regulation could pursue accelerated paralegal programs online. These programs equip you with essential legal and compliance skills that are increasingly important in high-tech industries.

Exploring these pathways gives you more options for shaping your education and career around your goals—while taking advantage of the speed and convenience that online learning provides.

Best Scientists Citing Albert C. To

Wing Kam Liu

Wing Kam Liu

Northwestern University

Publications: 41

Wei Chen

Wei Chen

Northwestern University

Publications: 28

Shaofan Li

Shaofan Li

University of California, Berkeley

Publications: 18

Lifeng Wang

Lifeng Wang

Stony Brook University

Publications: 15

Daining Fang

Daining Fang

Beijing Institute of Technology

Publications: 14

Weihong Zhang

Weihong Zhang

Northwestern Polytechnical University

Publications: 13

Kun Zhou

Kun Zhou

Nanyang Technological University

Publications: 13

Ferdinando Auricchio

Ferdinando Auricchio

University of Pavia

Publications: 12

Xin Lin

Xin Lin

Northwestern Polytechnical University

Publications: 11

Stephen R. Leone

Stephen R. Leone

University of California, Berkeley

Publications: 11

Xiaopeng Zhang

Xiaopeng Zhang

Chinese Academy of Sciences

Publications: 10

Grégoire Allaire

Grégoire Allaire

École Polytechnique

Publications: 10

Daniel A. Tortorelli

Daniel A. Tortorelli

University of Illinois at Urbana-Champaign

Publications: 10

Alessandro Reali

Alessandro Reali

University of Pavia

Publications: 10

Nicola Pugno

Nicola Pugno

University of Trento

Publications: 9

Alper Erturk

Alper Erturk

Georgia Institute of Technology

Publications: 9

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