Timo Lähivaara

755 total citations
57 papers, 535 citations indexed

About

Timo Lähivaara is a scholar working on Biomedical Engineering, Environmental Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, Timo Lähivaara has authored 57 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Biomedical Engineering, 18 papers in Environmental Engineering and 16 papers in Electrical and Electronic Engineering. Recurrent topics in Timo Lähivaara's work include Forest ecology and management (10 papers), Remote Sensing and LiDAR Applications (10 papers) and Geophysical Methods and Applications (10 papers). Timo Lähivaara is often cited by papers focused on Forest ecology and management (10 papers), Remote Sensing and LiDAR Applications (10 papers) and Geophysical Methods and Applications (10 papers). Timo Lähivaara collaborates with scholars based in Finland, Germany and New Zealand. Timo Lähivaara's co-authors include Tomi Huttunen, Marko Vauhkonen, Aku Seppänen, Matti Maltamo, Jari P. Kaipio, Jari Vauhkonen, G. Link, S. P. Eveson, Timo Tokola and Matti Niskanen and has published in prestigious journals such as Scientific Reports, Journal of Computational Physics and Geophysical Research Letters.

In The Last Decade

Timo Lähivaara

54 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Timo Lähivaara Finland 14 190 162 99 98 97 57 535
Philippe Druault France 19 221 1.2× 126 0.8× 32 0.3× 38 0.4× 134 1.4× 61 1.0k
Norberto Mangiavacchi Brazil 15 109 0.6× 98 0.6× 53 0.5× 23 0.2× 38 0.4× 74 1.2k
Dixia Fan China 18 435 2.3× 67 0.4× 60 0.6× 27 0.3× 76 0.8× 88 1.2k
Anders Gustavsson Sweden 22 272 1.4× 374 2.3× 44 0.4× 39 0.4× 119 1.2× 88 1.3k
Xiaodong Bai China 17 62 0.3× 65 0.4× 79 0.8× 13 0.1× 44 0.5× 60 696
Seongkyu Lee United States 18 310 1.6× 532 3.3× 15 0.2× 11 0.1× 100 1.0× 94 1.1k
Shengxiang Huang China 13 108 0.6× 12 0.1× 47 0.5× 115 1.2× 33 0.3× 55 519
Gerald C. Lauchle United States 14 146 0.8× 185 1.1× 56 0.6× 4 0.0× 89 0.9× 82 640
Takuya Tsuji Japan 24 229 1.2× 250 1.5× 81 0.8× 10 0.1× 92 0.9× 105 1.8k
Ludovic Chatellier France 15 93 0.5× 30 0.2× 22 0.2× 69 0.7× 66 0.7× 49 650

Countries citing papers authored by Timo Lähivaara

Since Specialization
Citations

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

Fields of papers citing papers by Timo Lähivaara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timo Lähivaara

This figure shows the co-authorship network connecting the top 25 collaborators of Timo Lähivaara. A scholar is included among the top collaborators of Timo Lähivaara 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 Timo Lähivaara. Timo Lähivaara 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
1.
Porcheddu, Andrea, Ville Kolehmainen, Timo Lähivaara, & Antti Lipponen. (2025). Machine learning data fusion for high spatio-temporal resolution PM 2.5. Atmospheric measurement techniques. 18(18). 4771–4789.
2.
Cuenca, Jacques, et al.. (2024). A statistical inverse method for the reconstruction of rough surfaces from acoustic scattering. Iris (University of Trento). 3583–3584.
3.
Porcheddu, Andrea, Ville Kolehmainen, Timo Lähivaara, & Antti Lipponen. (2024). Post-process correction improves the accuracy of satellite PM 2.5 retrievals. Atmospheric measurement techniques. 17(19). 5747–5764. 1 indexed citations
4.
Pulkki, Ville, et al.. (2023). Perceived difficulty of upwind shouting is a misconception explained by convective attenuation effect. Scientific Reports. 13(1). 5240–5240. 1 indexed citations
5.
Lähivaara, Timo, et al.. (2023). TRANSPORT EFFICIENCY OF DELIVERY TRUCKS: A STUDY OF COUPLING VEHICLE DESIGN AND TRANSPORT SYSTEM THROUGH FUNCTIONAL MODELLING AND OPTIMISATION. Proceedings of the Design Society. 3. 3631–3640. 1 indexed citations
6.
Lipponen, Antti, Timo Lähivaara, Larisa Sogacheva, et al.. (2022). Deep-learning-based post-process correction of the aerosol parameters in the high-resolution Sentinel-3 Level-2 Synergy product. Atmospheric measurement techniques. 15(4). 895–914. 10 indexed citations
7.
Virtanen, Timo H., et al.. (2022). High‐Resolution Post‐Process Corrected Satellite AOD. Geophysical Research Letters. 49(18). 4 indexed citations
8.
Link, G., et al.. (2022). Correlated Sample-Based Prior in Bayesian Inversion Framework for Microwave Tomography. IEEE Transactions on Antennas and Propagation. 70(7). 5860–5872. 2 indexed citations
9.
Eveson, S. P., et al.. (2021). A Discontinuous Galerkin method for three-dimensional poroelastic wave propagation:forward and adjoint problems. White Rose Research Online (University of Leeds, The University of Sheffield, University of York). 3 indexed citations
10.
Shoorehdeli, Mahdi Aliyari, et al.. (2021). System Identification of Conveyor Belt Microwave Drying Process of Polymer Foams Using Electrical Capacitance Tomography. Sensors. 21(21). 7170–7170. 9 indexed citations
11.
Link, G., et al.. (2021). Electrical Capacitance Tomography to Measure Moisture Distribution of Polymer Foam in a Microwave Drying Process. IEEE Sensors Journal. 21(16). 18101–18114. 11 indexed citations
12.
13.
Vauhkonen, Marko, et al.. (2021). Microwave Tomography for Moisture Level Estimation Using Bayesian Framework. 1–5. 7 indexed citations
14.
Link, G., et al.. (2020). LQR Control of Moisture Distribution in Microwave Drying Process Based on a Finite Element Model of Parabolic PDEs. IFAC-PapersOnLine. 53(2). 11470–11476. 7 indexed citations
15.
Niskanen, Matti, Olivier Dazel, Jean‐Philippe Groby, Aroune Duclos, & Timo Lähivaara. (2019). Characterising poroelastic materials in the ultrasonic range - A Bayesian approach. Journal of Sound and Vibration. 456. 30–48. 7 indexed citations
16.
Joutsensaari, Jorma, Tuomo Nieminen, Santtu Mikkonen, et al.. (2018). Identification of new particle formation events with deep learning. Atmospheric chemistry and physics. 18(13). 9597–9615. 18 indexed citations
17.
Lähivaara, Timo, et al.. (2018). Bayesian approach to single-tree detection in airborne laser scanning – use of training data for prior and likelihood modeling. Journal of Physics Conference Series. 1047. 12008–12008. 3 indexed citations
18.
Lähivaara, Timo, et al.. (2013). Estimation of aquifer dimensions from passive seismic signals with approximate wave propagation models. Inverse Problems. 30(1). 15003–15003. 15 indexed citations
19.
Lähivaara, Timo, Aku Seppänen, Jari P. Kaipio, et al.. (2012). Bayesian approach to tree detection with airborne laser scanning. 1641–1644. 4 indexed citations
20.
Lähivaara, Timo & Tomi Huttunen. (2010). A non-uniform basis order for the discontinuous Galerkin method of the 3D dissipative wave equation with perfectly matched layer. Journal of Computational Physics. 229(13). 5144–5160. 16 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Philippe Druault Breakdown of academic impact, for papers by Norberto Mangiavacchi Breakdown of academic impact, for papers by Dixia Fan Breakdown of academic impact, for papers by Anders Gustavsson Breakdown of academic impact, for papers by Xiaodong Bai Breakdown of academic impact, for papers by Seongkyu Lee Breakdown of academic impact, for papers by Shengxiang Huang Breakdown of academic impact, for papers by Gerald C. Lauchle Breakdown of academic impact, for papers by Takuya Tsuji Breakdown of academic impact, for papers by Ludovic Chatellier
Rankless by CCL
2026