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Aiichiro Nakano

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Materials Science 66 5451 5271 1415 1323 476 13176

Aiichiro Nakano publications per year

The chart shows the history of publications by Aiichiro Nakano between 1987 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Aiichiro Nakano published across 39 years, from 1987 to 2025, averaging 16.4 papers a year. Output peaked at 45 publications in 2018. 32 of the 638 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 1987 to 2025. Vertical axis: number of publications, 0 to 45. Peak 45 publications in 2018. 1987: 1 publication 1988: 0 publications 1989: 5 publications 1990: 4 publications 1991: 3 publications 1992: 6 publications 1993: 6 publications 1994: 11 publications 1995: 6 publications 1996: 8 publications 1997: 9 publications 1998: 18 publications 1999: 18 publications 2000: 22 publications 2001: 19 publications 2002: 12 publications 2003: 14 publications 2004: 11 publications 2005: 20 publications 2006: 10 publications 2007: 19 publications 2008: 16 publications 2009: 20 publications 2010: 13 publications 2011: 16 publications 2012: 24 publications 2013: 22 publications 2014: 15 publications 2015: 18 publications 2016: 20 publications 2017: 30 publications 2018: 45 publications 2019: 40 publications 2020: 31 publications 2021: 29 publications 2022: 26 publications 2023: 19 publications 2024: 21 publications 2025: 11 publications
1987 2025

638 publications in total across all disciplines

View publications per year as a table
Aiichiro Nakano: publications per year, 1987 to 2025
Year Publications
1987 1
1988 0
1989 5
1990 4
1991 3
1992 6
1993 6
1994 11
1995 6
1996 8
1997 9
1998 18
1999 18
2000 22
2001 19
2002 12
2003 14
2004 11
2005 20
2006 10
2007 19
2008 16
2009 20
2010 13
2011 16
2012 24
2013 22
2014 15
2015 18
2016 20
2017 30
2018 45
2019 40
2020 31
2021 29
2022 26
2023 19
2024 21
2025 11
Total 638
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Aiichiro Nakano publication distribution in Materials Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Materials Science in 2026. The highlighted bar marks where Aiichiro Nakano sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 57 bars. Horizontal axis: publications, 50–69 to 1,163+. Vertical axis: number of scientists, 0 to 891. Most scientists, 891, have 190–209 publications. The last bar groups every scientist with 1,163 publications or more. The highlighted bar, 470–489 publications, is where this scientist sits. 50–69 publications: 28 scientists 70–89 publications: 152 scientists 90–109 publications: 356 scientists 110–129 publications: 487 scientists 130–149 publications: 723 scientists 150–169 publications: 835 scientists 170–189 publications: 850 scientists 190–209 publications: 891 scientists 210–229 publications: 862 scientists 230–249 publications: 766 scientists 250–269 publications: 726 scientists 270–289 publications: 665 scientists 290–309 publications: 593 scientists 310–329 publications: 537 scientists 330–349 publications: 477 scientists 350–369 publications: 440 scientists 370–389 publications: 356 scientists 390–409 publications: 321 scientists 410–429 publications: 256 scientists 430–449 publications: 246 scientists 450–469 publications: 216 scientists 470–489 publications: 212 scientists 490–509 publications: 174 scientists 510–529 publications: 194 scientists 530–549 publications: 162 scientists 550–569 publications: 131 scientists 570–589 publications: 111 scientists 590–609 publications: 103 scientists 610–629 publications: 99 scientists 630–649 publications: 77 scientists 650–669 publications: 92 scientists 670–689 publications: 56 scientists 690–709 publications: 53 scientists 710–729 publications: 53 scientists 730–749 publications: 38 scientists 750–769 publications: 52 scientists 770–789 publications: 43 scientists 790–809 publications: 38 scientists 810–829 publications: 34 scientists 830–849 publications: 25 scientists 850–869 publications: 18 scientists 870–889 publications: 20 scientists 890–909 publications: 24 scientists 910–929 publications: 27 scientists 930–949 publications: 20 scientists 950–969 publications: 17 scientists 970–989 publications: 10 scientists 990–1,009 publications: 16 scientists 1,010–1,029 publications: 13 scientists 1,030–1,049 publications: 12 scientists 1,050–1,069 publications: 9 scientists 1,070–1,089 publications: 8 scientists 1,090–1,109 publications: 7 scientists 1,110–1,129 publications: 9 scientists 1,130–1,149 publications: 2 scientists 1,150–1,162 publications: 5 scientists 1,163+ publications: 100 scientists
50–69 publications 1,163+

This scientist: 476 publications — 85th percentile

85% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,163 publications or more.

View publications distribution as a table
Number of Materials Science scientists by publication count, Research.com 2026 ranking edition. Based on 12,847 ranked scientists.
Publications Scientists This scientist
50–69 28
70–89 152
90–109 356
110–129 487
130–149 723
150–169 835
170–189 850
190–209 891
210–229 862
230–249 766
250–269 726
270–289 665
290–309 593
310–329 537
330–349 477
350–369 440
370–389 356
390–409 321
410–429 256
430–449 246
450–469 216
470–489 212 476
490–509 174
510–529 194
530–549 162
550–569 131
570–589 111
590–609 103
610–629 99
630–649 77
650–669 92
670–689 56
690–709 53
710–729 53
730–749 38
750–769 52
770–789 43
790–809 38
810–829 34
830–849 25
850–869 18
870–889 20
890–909 24
910–929 27
930–949 20
950–969 17
970–989 10
990–1,009 16
1,010–1,029 13
1,030–1,049 12
1,050–1,069 9
1,070–1,089 8
1,090–1,109 7
1,110–1,129 9
1,130–1,149 2
1,150–1,162 5
1,163+ 100
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Aiichiro Nakano D-index placement in Materials Science in 2026

The chart shows the D-index (discipline H-index) distribution of Materials Science scientists ranked by Research.com in 2026. The highlighted bar marks where Aiichiro Nakano sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 64 bars. Horizontal axis: D-Index, 40–41 to 165+. Vertical axis: number of scientists, 0 to 667. Most scientists, 667, have 52–53 D-Index. The last bar groups every scientist with 165 D-Index or more. The highlighted bar, 66–67 D-Index, is where this scientist sits. 40–41 D-Index: 211 scientists 42–43 D-Index: 450 scientists 44–45 D-Index: 612 scientists 46–47 D-Index: 612 scientists 48–49 D-Index: 598 scientists 50–51 D-Index: 657 scientists 52–53 D-Index: 667 scientists 54–55 D-Index: 621 scientists 56–57 D-Index: 597 scientists 58–59 D-Index: 610 scientists 60–61 D-Index: 587 scientists 62–63 D-Index: 606 scientists 64–65 D-Index: 533 scientists 66–67 D-Index: 490 scientists 68–69 D-Index: 469 scientists 70–71 D-Index: 378 scientists 72–73 D-Index: 421 scientists 74–75 D-Index: 359 scientists 76–77 D-Index: 323 scientists 78–79 D-Index: 299 scientists 80–81 D-Index: 230 scientists 82–83 D-Index: 210 scientists 84–85 D-Index: 195 scientists 86–87 D-Index: 203 scientists 88–89 D-Index: 175 scientists 90–91 D-Index: 175 scientists 92–93 D-Index: 142 scientists 94–95 D-Index: 121 scientists 96–97 D-Index: 117 scientists 98–99 D-Index: 107 scientists 100–101 D-Index: 88 scientists 102–103 D-Index: 85 scientists 104–105 D-Index: 68 scientists 106–107 D-Index: 62 scientists 108–109 D-Index: 57 scientists 110–111 D-Index: 45 scientists 112–113 D-Index: 49 scientists 114–115 D-Index: 50 scientists 116–117 D-Index: 34 scientists 118–119 D-Index: 38 scientists 120–121 D-Index: 37 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 28 scientists 126–127 D-Index: 24 scientists 128–129 D-Index: 33 scientists 130–131 D-Index: 28 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 20 scientists 136–137 D-Index: 23 scientists 138–139 D-Index: 17 scientists 140–141 D-Index: 12 scientists 142–143 D-Index: 17 scientists 144–145 D-Index: 21 scientists 146–147 D-Index: 13 scientists 148–149 D-Index: 11 scientists 150–151 D-Index: 14 scientists 152–153 D-Index: 13 scientists 154–155 D-Index: 9 scientists 156–157 D-Index: 10 scientists 158–159 D-Index: 7 scientists 160–161 D-Index: 4 scientists 162–163 D-Index: 4 scientists 164 D-Index: 3 scientists 165+ D-Index: 98 scientists
40–41 D-Index 165+

This scientist: 66 D-Index — 59th percentile

59% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 165 D-Index or more.

View D-Index distribution as a table
Number of Materials Science scientists by D-index, Research.com 2026 ranking edition. Based on 12,847 ranked scientists.
D-Index Scientists This scientist
40–41 211
42–43 450
44–45 612
46–47 612
48–49 598
50–51 657
52–53 667
54–55 621
56–57 597
58–59 610
60–61 587
62–63 606
64–65 533
66–67 490 66
68–69 469
70–71 378
72–73 421
74–75 359
76–77 323
78–79 299
80–81 230
82–83 210
84–85 195
86–87 203
88–89 175
90–91 175
92–93 142
94–95 121
96–97 117
98–99 107
100–101 88
102–103 85
104–105 68
106–107 62
108–109 57
110–111 45
112–113 49
114–115 50
116–117 34
118–119 38
120–121 37
122–123 29
124–125 28
126–127 24
128–129 33
130–131 28
132–133 21
134–135 20
136–137 23
138–139 17
140–141 12
142–143 17
144–145 21
146–147 13
148–149 11
150–151 14
152–153 13
154–155 9
156–157 10
158–159 7
160–161 4
162–163 4
164 3
165+ 98
Download as CSV

Research.com Recognitions

  • 2009 - Fellow of American Physical Society (APS) Citation For the development and implementation of scalable parallel and distributed algorithms for largescale atomistic simulations to predict, visualize, and analyze reaction processes for novel nanomechanochemical phenomena encompassing diverse spatiotemporal scales

Overview

Aiichiro Nakano is affiliated with the University of Southern California in the United States. Their research primarily spans the fields of Materials Science, Engineering, and Physics and Astronomy. Within these broader disciplines, Nakano's work focuses on several subfields, including Materials Chemistry, Electrical and Electronic Engineering, Atomic and Molecular Physics and Optics, Artificial Intelligence, and Biomedical Engineering.

Nakano's contributions cover a diverse range of topics such as Machine Learning in Materials Science, 2D Materials and Applications, Chalcogenide Semiconductor Thin Films, Spectroscopy and Quantum Chemical Studies, Electronic and Structural Properties of Oxides, Phase-change materials and chalcogenides, and Quantum Dots Synthesis and Properties.

The researcher has numerous publications in notable venues, including:

  • arXiv (Cornell University)
  • The Journal of Physical Chemistry Letters
  • Zenodo (CERN European Organization for Nuclear Research)
  • npj Computational Materials
  • Applied Physics Letters

Among recent papers authored by Nakano are:

  • "Enhancing combustion performance of nano-Al/PVDF composites with β-PVDF" (2020), published in Combustion and Flame
  • "Synergistically Chemical and Thermal Coupling between Graphene Oxide and Graphene Fluoride for Enhancing Aluminum Combustion" (2020), published in ACS Applied Materials & Interfaces
  • "Simultaneous Observation of Carrier-Specific Redistribution and Coherent Lattice Dynamics in 2H-MoTe2 with Femtosecond Core-Level Spectroscopy" (2020), published in ACS Nano
  • "Dielectric Constant of Liquid Water Determined with Neural Network Quantum Molecular Dynamics" (2021), published in Physical Review Letters
  • "Dielectric Polymer Property Prediction Using Recurrent Neural Networks with Optimizations" (2021), published in Journal of Chemical Information and Modeling

Frequent collaborators in Nakano's research include Priya Vashishta, Rajiv K. Kalia, Ken-ichi Nomura, Fuyuki Shimojo, and Aravind Krishnamoorthy. These collaborative efforts have resulted in extensive literature contributions, with many coauthored works.

Nakano has also authored books, including a publication titled Simulation with Python released in 2022 by Apress eBooks.

Honors include being named a Fellow of the American Physical Society (APS) in 2009-an award citing contributions to the development and implementation of scalable parallel and distributed algorithms for large-scale atomistic simulations. These simulations aim to predict, visualize, and analyze reaction processes related to novel nanomechanochemical phenomena spanning multiple spatiotemporal scales.

Best Publications

  • DYNAMICS OF OXIDATION OF ALUMINUM NANOCLUSTERS USING VARIABLE CHARGE MOLECULAR-DYNAMICS SIMULATIONS ON PARALLEL COMPUTERS

    Timothy Campbell;Rajiv K. Kalia;Aiichiro Nakano;Priya Vashishta

  • Interaction potential for silicon carbide: A molecular dynamics study of elastic constants and vibrational density of states for crystalline and amorphous silicon carbide

    Priya Vashishta;Rajiv K. Kalia;Aiichiro Nakano;José Pedro Rino

  • A Crossover in the Mechanical Response of Nanocrystalline Ceramics

    Izabela Szlufarska;Izabela Szlufarska;Aiichiro Nakano;Aiichiro Nakano;Priya Vashishta;Priya Vashishta

  • Structure of rings in vitreous SiO 2

    José P. Rino;Ingvar Ebbsjö;Rajiv K. Kalia;Aiichiro Nakano

  • Parallel multilevel preconditioned conjugate-gradient approach to variable-charge molecular dynamics

    Aiichiro Nakano

  • ATOMISTIC ASPECTS OF CRACK PROPAGATION IN BRITTLE MATERIALS: Multimillion Atom Molecular Dynamics Simulations

    Cindy L. Rountree;Rajiv K. Kalia;Elefterios Lidorikis;Aiichiro Nakano

  • Re Doping in 2D Transition Metal Dichalcogenides as a New Route to Tailor Structural Phases and Induced Magnetism

    Vidya Kochat;Amey Apte;Jordan A. Hachtel;Hiroyuki Kumazoe;Hiroyuki Kumazoe

  • Molecular dynamics simulation of structural transformation in silicon carbide under pressure

    Fuyuki Shimojo;Fuyuki Shimojo;Ingvar Ebbsjö;Rajiv K. Kalia;Aiichiro Nakano

  • Interaction potentials for alumina and molecular dynamics simulations of amorphous and liquid alumina

    Priya Vashishta;Rajiv K. Kalia;Aiichiro Nakano;José Pedro Rino

  • Hybrid finite-element/molecular-dynamics/electronic-density-functional approach to materials simulations on parallel computers

    Shuji Ogata;Elefterios Lidorikis;Fuyuki Shimojo;Aiichiro Nakano

  • Dynamic transition in the structure of an energetic crystal during chemical reactions at shock front prior to detonation.

    Ken Ichi Nomura;Rajiv K. Kalia;Aiichiro Nakano;Priya Vashishta

  • Multiscale simulation of nanosystems

    A. Nakano;M.E. Bachlechner;R.K. Kalia;E. Lidorikis

  • Active learning for accelerated design of layered materials

    Lindsay Bassman;Pankaj Rajak;Rajiv K. Kalia;Aiichiro Nakano

  • Tellurene Photodetector with High Gain and Wide Bandwidth.

    Chenfei Shen;Yihang Liu;Jiangbin Wu;Chi Xu

  • Dynamics and morphology of brittle cracks: A molecular-dynamics study of silicon nitride.

    Aiichiro Nakano;Rajiv K. Kalia;Priya Vashishta

  • Energetic Performance of Optically Activated Aluminum/Graphene Oxide Composites

    Yue Jiang;Sili Deng;Sungwook Hong;Jiheng Zhao

  • Brittle dynamic fracture of crystalline cubic silicon carbide "3C-SiC… via molecular dynamics simulation

    Hideaki Kikuchi;Rajiv K. Kalia;Aiichiro Nakano;Priya Vashishta

  • Molecular dynamics simulations of rapid hydrogen production from water using aluminum clusters as catalyzers.

    Fuyuki Shimojo;Fuyuki Shimojo;Satoshi Ohmura;Satoshi Ohmura;Rajiv K. Kalia;Aiichiro Nakano

  • A scalable parallel algorithm for large-scale reactive force-field molecular dynamics simulations

    Ken-ichi Nomura;Rajiv K. Kalia;Aiichiro Nakano;Priya Vashishta

  • Oxidation of aluminum nanoclusters

    Timothy J. Campbell;Timothy J. Campbell;Gurcan Aral;Shuji Ogata;Rajiv K. Kalia

  • A Divide-and-Conquer/Cellular-Decomposition Framework for Million-to-Billion Atom Simulations of Chemical Reactions

    Aiichiro Nakano;Rajiv K. Kalia;Ken ichi Nomura;Ashish Sharma

  • Role of Ultrafine Microstructures in Dynamic Fracture in Nanophase Silicon Nitride

    Rajiv K. Kalia;Aiichiro Nakano;Andrey Omeltchenko;Kenji Tsuruta

Frequent Co-Authors

Rajiv K. Kalia
Rajiv K. Kalia University of Southern California
Priya Vashishta
Priya Vashishta University of Southern California
Anupam Madhukar
Anupam Madhukar University of Southern California
Pulickel M. Ajayan
Pulickel M. Ajayan Rice University
Chandra Sekhar Tiwary
Chandra Sekhar Tiwary Indian Institute of Technology Kharagpur
Uwe Bergmann
Uwe Bergmann SLAC National Accelerator Laboratory
Tony F. Heinz
Tony F. Heinz Stanford University
Aaron M. Lindenberg
Aaron M. Lindenberg Stanford University
Xiang Zhang
Xiang Zhang University of Hong Kong
Richard E. Clark
Richard E. Clark University of Southern California

External Links

Wikipedia of Aiichiro Nakano Personal website of Aiichiro Nakano

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Publications: 17

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Subramanian K. R. S. Sankaranarayanan

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Publications: 16

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Publications: 16

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Publications: 13

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Publications: 13

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Publications: 12

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