Tomi Laurila

7.5k total citations · 2 hit papers
163 papers, 6.0k citations indexed

About

Tomi Laurila is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Mechanical Engineering. According to data from OpenAlex, Tomi Laurila has authored 163 papers receiving a total of 6.0k indexed citations (citations by other indexed papers that have themselves been cited), including 118 papers in Electrical and Electronic Engineering, 46 papers in Materials Chemistry and 39 papers in Mechanical Engineering. Recurrent topics in Tomi Laurila's work include Electrochemical sensors and biosensors (50 papers), Electronic Packaging and Soldering Technologies (35 papers) and Electrochemical Analysis and Applications (33 papers). Tomi Laurila is often cited by papers focused on Electrochemical sensors and biosensors (50 papers), Electronic Packaging and Soldering Technologies (35 papers) and Electrochemical Analysis and Applications (33 papers). Tomi Laurila collaborates with scholars based in Finland, United States and United Kingdom. Tomi Laurila's co-authors include Vesa Vuorinen, J.K. Kivilahti, A. Miguel, Sami Sainio, Mervi Paulasto‐Kröckel, Jari Koskinen, Aloke Paul, Volker L. Deringer, Niklas Wester and Sergiy V. Divinski and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Applied Physics Letters.

In The Last Decade

Tomi Laurila

161 papers receiving 5.8k citations

Hit Papers

Interfacial reactions between lead-free solders and commo... 2005 2026 2012 2019 2005 2014 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tomi Laurila Finland 39 4.0k 1.9k 1.6k 768 675 163 6.0k
Xi Lin China 39 2.2k 0.5× 1.1k 0.5× 2.6k 1.6× 383 0.5× 229 0.3× 128 4.9k
Qi Liang China 33 2.8k 0.7× 928 0.5× 3.1k 1.9× 623 0.8× 180 0.3× 162 6.0k
Yuandong Niu China 51 4.2k 1.1× 806 0.4× 5.9k 3.6× 634 0.8× 472 0.7× 220 11.0k
Li Zhong China 39 5.9k 1.5× 1.5k 0.7× 2.9k 1.8× 666 0.9× 127 0.2× 205 8.6k
Wei Luo China 39 1.9k 0.5× 883 0.5× 3.1k 1.9× 284 0.4× 310 0.5× 227 5.7k
Masanori Hara Japan 42 3.4k 0.8× 337 0.2× 3.3k 2.0× 1.7k 2.2× 275 0.4× 348 6.2k
Yasushi Maeda Japan 50 1.2k 0.3× 1.7k 0.9× 2.2k 1.3× 1.3k 1.7× 159 0.2× 258 7.9k
Maria Letizia Terranova Italy 33 1.7k 0.4× 262 0.1× 2.2k 1.3× 969 1.3× 602 0.9× 273 4.5k
Yongjie Wang China 43 1.6k 0.4× 1.1k 0.6× 3.1k 1.9× 428 0.6× 107 0.2× 210 5.0k
Xiao‐Guang Sun United States 55 7.0k 1.7× 961 0.5× 1.9k 1.2× 469 0.6× 217 0.3× 223 9.2k

Countries citing papers authored by Tomi Laurila

Since Specialization
Citations

This map shows the geographic impact of Tomi Laurila's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tomi Laurila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tomi Laurila more than expected).

Fields of papers citing papers by Tomi Laurila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tomi Laurila. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tomi Laurila. The network helps show where Tomi Laurila may publish in the future.

Co-authorship network of co-authors of Tomi Laurila

This figure shows the co-authorship network connecting the top 25 collaborators of Tomi Laurila. A scholar is included among the top collaborators of Tomi Laurila based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tomi Laurila. Tomi Laurila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Laurila, Tomi, et al.. (2024). Challenges in aptamer-based sensor development using carbon nanotube networks. Sensors & Diagnostics. 3(12). 1935–1946. 2 indexed citations
3.
Sainio, Jani, et al.. (2024). Ni Drastically Modifies the Microstructure and Electrochemistry of Thin Ti and Cr Layers. The Journal of Physical Chemistry C. 128(3). 1457–1468. 2 indexed citations
4.
Wester, Niklas, Terhi J. Lohela, Mika Kurkela, et al.. (2023). Introduction of an electrochemical point‐of‐care assay for quantitative determination of paracetamol in finger‐prick capillary whole blood samples. British Journal of Clinical Pharmacology. 89(9). 2933–2938. 2 indexed citations
5.
Peltola, Emilia, et al.. (2023). Modulating the Geometry of the Carbon Nanofiber Electrodes Provides Control over Dopamine Sensor Performance. Analytical Chemistry. 95(5). 2983–2991. 18 indexed citations
6.
Parkkinen, Ilmari, et al.. (2023). Real-time selective detection of dopamine and serotonin at nanomolar concentration from complex in vitro systems. Biosensors and Bioelectronics. 241. 115579–115579. 29 indexed citations
7.
Sainio, Sami, et al.. (2023). Correlation between microstructure and surface chemistry of carbon nanofibers grown using different adhesive layers. Diamond and Related Materials. 133. 109713–109713. 9 indexed citations
8.
Golze, Dorothea, Anja Aarva, Jarkko Etula, et al.. (2022). Accurate Computational Prediction of Core-Electron Binding Energies in Carbon-Based Materials: A Machine-Learning Model Combining Density-Functional Theory and GW. Chemistry of Materials. 34(14). 6240–6254. 45 indexed citations
9.
Aarva, Anja, Sami Sainio, Volker L. Deringer, A. Miguel, & Tomi Laurila. (2021). X-ray Spectroscopy Fingerprints of Pristine and Functionalized Graphene. The Journal of Physical Chemistry C. 125(33). 18234–18246. 19 indexed citations
10.
Kosunen, Marko, et al.. (2020). Time-Based Sensor Interface for Dopamine Detection. IEEE Transactions on Circuits and Systems I Regular Papers. 67(10). 3284–3296. 5 indexed citations
11.
Wester, Niklas, Jarkko Etula, Tuomas O. Lilius, et al.. (2020). Single-Walled Carbon Nanotube Network Electrodes for the Detection of Fentanyl Citrate. ACS Applied Nano Materials. 3(2). 1203–1212. 39 indexed citations
12.
Palomäki, Tommi, Emilia Peltola, Sami Sainio, et al.. (2018). Unmodified and multi-walled carbon nanotube modified tetrahedral amorphous carbon (ta-C) films as in vivo sensor materials for sensitive and selective detection of dopamine. Biosensors and Bioelectronics. 118. 23–30. 49 indexed citations
13.
Kumar, Praveen, et al.. (2015). Effect of Ni content on the diffusion-controlled growth of the product phases in the Cu(Ni)–Sn system. The Philosophical Magazine A Journal of Theoretical Experimental and Applied Physics. 96(1). 15–30. 27 indexed citations
14.
Laurila, Tomi, et al.. (2013). Diamond-like carbon (DLC) thin film bioelectrodes: Effect of thermal post-treatments and the use of Ti adhesion layer. Materials Science and Engineering C. 34. 446–454. 31 indexed citations
16.
Vuorinen, Vesa, et al.. (2006). Phase formation between Lead-free SnAgCu Solder and Ni(P)/Au Finish on PWB. Journal of Applied Physics. 99(2). 3530–3536. 7 indexed citations
17.
Laurila, Tomi, et al.. (2006). Reactive blending approach to modify spin‐coated epoxy film: Part I. Synthesis and characterization of star‐shaped poly(ϵ‐caprolactone). Journal of Applied Polymer Science. 101(6). 3677–3688. 10 indexed citations
18.
Laurila, Tomi, Vesa Vuorinen, & J.K. Kivilahti. (2004). Analyses of interfacial reactions at different levels of interconnection. Materials Science in Semiconductor Processing. 7(4-6). 307–317. 13 indexed citations
19.
Laurila, Tomi, Ke Zeng, J.K. Kivilahti, J. M. Molarius, & I. Suni. (1999). Chemical Stability of Ta Diffusion Barrier Between Cu and Si. Redalyc (Universidad Autónoma del Estado de México). 1 indexed citations
20.
Molarius, J. M., I. Suni, Tomi Laurila, Ke Zeng, & J.K. Kivilahti. (1999). R.F.-sputtered tantalum-based diffusion barriers between copper and silicon. Superficies y Vacío. 206–209. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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