World's Best Scientists 2026 revealed!
Tomi Laurila

Tomi Laurila

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
8195
World Ranking
6096
National Ranking
40

Tomi Laurila 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 Tomi Laurila sits on this spectrum.

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 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.

Tomi Laurila 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 Tomi Laurila sits on this spectrum.

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: 43 D-Index — 39th percentile

39% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Tomi Laurila is affiliated with Aalto University in Finland and has contributions primarily in the fields of engineering and materials science. Their work spans various subfields including electrical and electronic engineering, materials chemistry, electrochemistry, cellular and molecular neuroscience, and bioengineering.

Their research focuses on topics such as electrochemical sensors and biosensors, electrochemical analysis and applications, neuroscience and neural engineering, analytical chemistry and sensors, diamond and carbon-based materials research, conducting polymers and applications, and electrocatalysts for energy conversion.

Some notable recent papers include:

  • Machine learning driven simulated deposition of carbon films: From low-density to diamondlike amorphous carbon (2020, Physical review. B./Physical review. B)
  • Trends in Carbon, Oxygen, and Nitrogen Core in the X-ray Absorption Spectroscopy of Carbon Nanomaterials: A Guide for the Perplexed (2020, The Journal of Physical Chemistry C)
  • Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW (2022, Chemistry of Materials)
  • Single-Walled Carbon Nanotube Network Electrodes for the Detection of Fentanyl Citrate (2020, ACS Applied Nano Materials)
  • Nanostructured Geometries Strongly Affect Fouling of Carbon Electrodes (2021, ACS Omega)

Laurila frequently collaborates with several researchers, including:

  • Niklas Wester
  • Sami Sainio
  • Ayesha Kousar
  • Ishan Pande
  • Samuel Rantataro

Their publications appear often in venues such as:

  • SSRN Electronic Journal
  • Diamond and Related Materials
  • Analytical Chemistry
  • The Journal of Physical Chemistry C
  • Electrochimica Acta

Best Publications

  • Interfacial reactions between lead-free solders and common base materials

    Tomi Laurila;Vesa Vuorinen;Jorma Kivilahti

  • Thermodynamics, Diffusion and the Kirkendall Effect in Solids

    Aloke Paul;Tomi Laurila;Vesa Vuorinen;Sergiy V. Divinski

  • Piezoelectric coefficients and spontaneous polarization of ScAlN

    Miguel A Caro;Siyuan Zhang;Tommi Riekkinen;Markku Ylilammi

  • Impurity and alloying effects on interfacial reaction layers in Pb-free soldering

    T. Laurila;V. Vuorinen;M. Paulasto-Kröckel

  • Cycle aging of commercial NMC/graphite pouch cells at different temperatures

    K. Jalkanen;J. Karppinen;L. Skogström;T. Laurila

  • Reactive sputter deposition and properties of Ta x N thin films

    T. Riekkinen;J. Molarius;T. Laurila;A. Nurmela

  • Growth Mechanism and Origin of High sp^{3} Content in Tetrahedral Amorphous Carbon.

    Miguel A. Caro;Volker L. Deringer;Jari Koskinen;Tomi Laurila

  • Hybrid carbon based nanomaterials for electrochemical detection of biomolecules

    Tomi Laurila;Sami Sainio;Miguel A. Caro

  • Effect of Ag, Fe, Au and Ni on the growth kinetics of Sn-Cu intermetallic compound layers

    Tomi Laurila;Johannes Hurtig;Vesa Vuorinen;Jorma Kivilahti

  • Electrochemical Fouling of Dopamine and Recovery of Carbon Electrodes

    Emilia Peltola;Emilia Peltola;Sami Sainio;Katherine B. Holt;Tommi Palomäki

  • Failure mechanism of Ta diffusion barrier between Cu and Si

    Tomi Laurila;Kejun Zeng;Jorma K. Kivilahti;Jyrki Molarius

  • Formation of Intermetallic Compounds Between Liquid Sn and Various CuNi x Metallizations

    Vesa Vuorinen;Hao Yu;Tomi Laurila;Jorma Kivilahti

  • Reactivity of Amorphous Carbon Surfaces: Rationalizing the Role of Structural Motifs in Functionalization Using Machine Learning

    Miguel A. Caro;Anja Aarva;Volker L. Deringer;Gábor Csányi

  • Evolution of microstructure and failure mechanism of lead-free solder interconnections in power cycling and thermal shock tests

    Tomi Laurila;Toni Mattila;Vesa Vuorinen;Juha Karppinen

  • Understanding X-ray Spectroscopy of Carbonaceous Materials by Combining Experiments, Density Functional Theory, and Machine Learning. Part I: Fingerprint Spectra

    Anja Aarva;Volker L. Deringer;Sami Sainio;Tomi Laurila

  • Solid-State Reactions between Cu(Ni) Alloys and Sn

    Vesa Vuorinen;Tomi Laurila;Toni Mattila;Erkki Heikinheimo

  • Computational Surface Chemistry of Tetrahedral Amorphous Carbon by Combining Machine Learning and Density Functional Theory

    Volker L. Deringer;Miguel A. Caro;Richard Jana;Anja Aarva

  • Heat generation in high power prismatic Li-ion battery cell with LiMnNiCoO2 cathode material

    Yasir Abdul-Quadir;Tomi Laurila;Juha Karppinen;Kirsi Jalkanen

  • Chemical stability of Ta diffusion barrier between Cu and Si

    T. Laurila;K. Zeng;Jorma Kivilahti;Jyrki Molarius

  • Tantalum carbide and nitride diffusion barriers for Cu metallisation

    T. Laurila;K. Zeng;J. K. Kivilahti;J. Molarius

  • Materials Research Society Symposium - Proceedings

    Tomi Laurila;K. Zeng;A. Seppälä;J. Molarius

Frequent Co-Authors

Sergiy V. Divinski
Sergiy V. Divinski University of Münster
Hua Jiang
Hua Jiang Aalto University
Dennis Nordlund
Dennis Nordlund SLAC National Accelerator Laboratory
Leena-Sisko Johansson
Leena-Sisko Johansson Aalto University
Esko I. Kauppinen
Esko I. Kauppinen Aalto University
Eija Kalso
Eija Kalso University of Helsinki
Juan M. Feliu
Juan M. Feliu University of Alicante
Meyya Meyyappan
Meyya Meyyappan Ames Research Center
Victor Climent
Victor Climent University of Alicante
Gábor Csányi
Gábor Csányi University of Cambridge

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