Lauri Salmela

933 total citations · 1 hit paper
16 papers, 603 citations indexed

About

Lauri Salmela is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Lauri Salmela has authored 16 papers receiving a total of 603 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atomic and Molecular Physics, and Optics, 15 papers in Electrical and Electronic Engineering and 1 paper in Molecular Biology. Recurrent topics in Lauri Salmela's work include Advanced Fiber Laser Technologies (15 papers), Photonic Crystal and Fiber Optics (12 papers) and Optical Network Technologies (10 papers). Lauri Salmela is often cited by papers focused on Advanced Fiber Laser Technologies (15 papers), Photonic Crystal and Fiber Optics (12 papers) and Optical Network Technologies (10 papers). Lauri Salmela collaborates with scholars based in Finland, France and Poland. Lauri Salmela's co-authors include Goëry Genty, John M. Dudley, Cyril Billet, Daniel Brunner, Sergey Kobtsev, Sergei K. Turitsyn, Alexey Kokhanovskiy, Alessandro Foi, Juha Toivonen and Mikko Närhi and has published in prestigious journals such as Nature Communications, Nature Photonics and Biophysical Journal.

In The Last Decade

Lauri Salmela

14 papers receiving 564 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Machine learning and applications in ultrafast photonics

2020 258 citations Goëry Genty, Lauri Salmela et al. Nature Photonics profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lauri Salmela Finland	9	419	393	116	74	44	16	603
Alireza Bahrampour Iran	13	418 1.0×	481 1.2×	140 1.2×	98 1.3×	59 1.3×	93	698
Anlin Yi China	17	948 2.3×	383 1.0×	185 1.6×	104 1.4×	80 1.8×	99	1.1k
Bao-Sen Shi China	15	217 0.5×	784 2.0×	348 3.0×	42 0.6×	92 2.1×	66	932
Virginia D’Auria France	18	370 0.9×	780 2.0×	619 5.3×	39 0.5×	24 0.5×	44	935
Hugues Guillet de Chatellus France	18	769 1.8×	793 2.0×	86 0.7×	17 0.2×	101 2.3×	84	1.0k
Graciana Puentes Argentina	18	163 0.4×	657 1.7×	481 4.1×	38 0.5×	90 2.0×	40	806
Kaiheng Zou United States	19	1.1k 2.7×	937 2.4×	146 1.3×	37 0.5×	261 5.9×	133	1.5k
M. Blondel Belgium	22	1.0k 2.5×	472 1.2×	62 0.5×	189 2.6×	41 0.9×	78	1.3k
Amir Minoofar United States	12	476 1.1×	374 1.0×	34 0.3×	14 0.2×	139 3.2×	64	674
Yves Jaouën France	24	1.7k 4.2×	1.1k 2.7×	53 0.5×	51 0.7×	115 2.6×	172	1.9k

Countries citing papers authored by Lauri Salmela

Since Specialization

Citations

This map shows the geographic impact of Lauri Salmela'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 Lauri Salmela with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lauri Salmela more than expected).

Fields of papers citing papers by Lauri Salmela

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lauri Salmela. 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 Lauri Salmela. The network helps show where Lauri Salmela may publish in the future.

Co-authorship network of co-authors of Lauri Salmela

This figure shows the co-authorship network connecting the top 25 collaborators of Lauri Salmela. A scholar is included among the top collaborators of Lauri Salmela 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 Lauri Salmela. Lauri Salmela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

1.

Salmela, Lauri, et al.. (2024). Supercontinuum generation in a graded-index multimode tellurite fiber. Optics Letters. 49(11). 2865–2865. 1 indexed citations

2.

Salmela, Lauri, et al.. (2023). Neural network analysis of unstable temporal intensity peaks in continuous wave modulation instability. Optics Communications. 541. 129570–129570. 4 indexed citations

3.

Salmela, Lauri, et al.. (2023). Tailored supercontinuum generation using genetic algorithm optimized Fourier domain pulse shaping. Optics Letters. 48(17). 4512–4512. 10 indexed citations

4.

Eslami, Zahra, Lauri Salmela, Adam Filipkowski, et al.. (2022). Two octave supercontinuum generation in a non-silica graded-index multimode fiber. Nature Communications. 13(1). 2126–2126. 27 indexed citations

5.

Meng, Fanchao, et al.. (2022). Machine learning analysis of instabilities in noise-like pulse lasers. Optics Express. 30(9). 15060–15060. 11 indexed citations

6.

Salmela, Lauri, et al.. (2022). Feed-forward neural network as nonlinear dynamics integrator for supercontinuum generation. Optics Letters. 47(4). 802–802. 26 indexed citations

7.

Salmela, Lauri, et al.. (2022). Neural network prediction of supercontinuum generation dynamics. 62–62.

8.

Salmela, Lauri, et al.. (2021). Predicting ultrafast nonlinear dynamics in fibre optics with a recurrent neural network. Nature Machine Intelligence. 3(4). 344–354. 131 indexed citations

9.

Eslami, Zahra, Piotr Ryczkowski, Lauri Salmela, & Goëry Genty. (2020). Low-noise octave-spanning mid-infrared supercontinuum generation in a multimode chalcogenide fiber. Optics Letters. 45(11). 3103–3103. 24 indexed citations

10.

Salmela, Lauri, et al.. (2020). Supercontinuum spectral evolution prediction by recurrent neural network. Conference on Lasers and Electro-Optics. 78. STu4H.6–STu4H.6.

11.

Genty, Goëry, Lauri Salmela, John M. Dudley, et al.. (2020). Machine learning and applications in ultrafast photonics. Nature Photonics. 15(2). 91–101. 258 indexed citations breakdown →

12.

Eslami, Zahra, et al.. (2019). High-Power Short-Wavelength Infrared Supercontinuum Generation in a Multimode Fluoride Fiber. 52. 1–1. 1 indexed citations

13.

Salmela, Lauri, Mikko Närhi, Juha Toivonen, John M. Dudley, & Goëry Genty. (2018). Machine learning analysis of extreme events in optical fibre modulation instability. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

14.

Närhi, Mikko, Lauri Salmela, Juha Toivonen, et al.. (2018). Machine learning analysis of extreme events in optical fibre modulation instability. Nature Communications. 9(1). 4923–4923. 100 indexed citations

15.

Eslami, Zahra, et al.. (2018). High-power short-wavelength infrared supercontinuum generation in multimode fluoride fiber. Journal of the Optical Society of America B. 36(2). A72–A72. 8 indexed citations

16.

Rissanen, Sami, Lauri Salmela, Ilpo Vattulainen, & Tomasz Róg. (2017). PI(4,5)P 2 Binds to Phospholipase C Delta 1 in a Cholesterol Concentration Dependent Manner: Perspective on Implications to PI(4,5)P 2 -Binding Proteins. Biophysical Journal. 112(3). 137a–138a. 1 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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