Lasse Holmström

2.4k total citations · 1 hit paper
77 papers, 1.4k citations indexed

About

Lasse Holmström is a scholar working on Artificial Intelligence, Atmospheric Science and Computer Vision and Pattern Recognition. According to data from OpenAlex, Lasse Holmström has authored 77 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 20 papers in Atmospheric Science and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Lasse Holmström's work include Geology and Paleoclimatology Research (16 papers), Tree-ring climate responses (13 papers) and Soil Geostatistics and Mapping (10 papers). Lasse Holmström is often cited by papers focused on Geology and Paleoclimatology Research (16 papers), Tree-ring climate responses (13 papers) and Soil Geostatistics and Mapping (10 papers). Lasse Holmström collaborates with scholars based in Finland, United States and Estonia. Lasse Holmström's co-authors include Petri Koistinen, Panu Erästö, Jan Weckström, Atte Korhola, Leena Pasanen, Heikki Seppä, Erkki Oja, Jorma Laaksonen, Fabian Hoti and Ville Vuollo and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Technometrics.

In The Last Decade

Lasse Holmström

77 papers receiving 1.3k citations

Hit Papers

Using additive noise in b... 1992 2026 2003 2014 1992 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lasse Holmström Finland 20 502 331 219 162 144 77 1.4k
Daniel F. Merriam United States 19 178 0.4× 295 0.9× 146 0.7× 127 0.8× 83 0.6× 141 1.5k
Olaf Hellwich Germany 30 246 0.5× 409 1.2× 205 0.9× 182 1.1× 759 5.3× 181 2.4k
P.F. Verdes Argentina 15 328 0.7× 176 0.5× 117 0.5× 72 0.4× 56 0.4× 27 1000
Guo Guo 18 145 0.3× 173 0.5× 130 0.6× 64 0.4× 68 0.5× 232 1.1k
Antti Penttinen Finland 16 70 0.1× 180 0.5× 468 2.1× 328 2.0× 54 0.4× 36 2.2k
J. D. Tubbs United States 14 174 0.3× 78 0.2× 23 0.1× 44 0.3× 114 0.8× 33 593
David M. Fratantoni United States 29 945 1.9× 350 1.1× 970 4.4× 488 3.0× 299 2.1× 55 4.2k
Ronan Fablet France 32 477 1.0× 241 0.7× 1.1k 4.8× 589 3.6× 629 4.4× 171 3.1k
Theodoros Damoulas United Kingdom 16 451 0.9× 191 0.6× 232 1.1× 268 1.7× 160 1.1× 37 1.3k
Geir Nævdal Norway 34 265 0.5× 236 0.7× 758 3.5× 460 2.8× 23 0.2× 157 4.6k

Countries citing papers authored by Lasse Holmström

Since Specialization
Citations

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

Fields of papers citing papers by Lasse Holmström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lasse Holmström

This figure shows the co-authorship network connecting the top 25 collaborators of Lasse Holmström. A scholar is included among the top collaborators of Lasse Holmström 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 Lasse Holmström. Lasse Holmström 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.
Holmström, Lasse, Jyrki Vähätalo, Tuomas Kenttä, et al.. (2024). Age-related trends of ischemic sudden cardiac death in women. International Journal of Cardiology. 410. 132238–132238. 1 indexed citations
2.
Sáez, José Antonio López, Lasse Holmström, Francisca Alba‐Sánchez, et al.. (2019). Quantitative reconstruction of precipitation changes in the Iberian Peninsula during the Late Pleistocene and the Holocene. UCrea (University of Cantabria). 6 indexed citations
3.
Fang, Keyan, Deliang Chen, Leena Pasanen, et al.. (2019). Oceanic and atmospheric modes in the Pacific and Atlantic Oceans since the Little Ice Age (LIA): Towards a synthesis. Quaternary Science Reviews. 215. 293–307. 22 indexed citations
4.
Aakala, Tuomas, Leena Pasanen, Samuli Helama, et al.. (2017). Multiscale variation in drought controlled historical forest fire activity in the boreal forests of eastern Fennoscandia. Ecological Monographs. 88(1). 74–91. 30 indexed citations
5.
Vuollo, Ville, Virpi Harila, Tuomo Heikkinen, et al.. (2016). The course of positional cranial deformation from 3 to 12 months of age and associated risk factors: a follow-up with 3D imaging. European Journal of Pediatrics. 175(12). 1893–1903. 32 indexed citations
6.
Holmström, Lasse, et al.. (2016). Estimation of level set trees using adaptive partitions. Computational Statistics. 32(3). 1139–1163. 2 indexed citations
7.
Pasanen, Leena, et al.. (2016). Extraction of sea temperature in the Barents Sea by a scale space multiresolution method – prospects for Atlantic salmon. Journal of Applied Statistics. 44(13). 2317–2336. 5 indexed citations
8.
Li, Jianyong, Qinghai Xu, Jian Ni, et al.. (2015). East Asian summer monsoon precipitation variations in China over the last 9500 years: A comparison of pollen-based reconstructions and model simulations. The Holocene. 26(4). 592–602. 23 indexed citations
9.
Pasanen, Leena & Lasse Holmström. (2013). Bayesian scale space analysis of images. 96–100. 1 indexed citations
10.
Pasanen, Leena, et al.. (2013). A scale space multiresolution method for extraction of time series features. Stat. 2(1). 273–291. 15 indexed citations
11.
Holmström, Lasse, Leena Pasanen, Reinhard Furrer, & Stephan R. Sain. (2011). Scale space multiresolution analysis of random signals. Computational Statistics & Data Analysis. 55(10). 2840–2855. 19 indexed citations
12.
Holmström, Lasse. (2010). Scale space methods. Wiley Interdisciplinary Reviews Computational Statistics. 2(2). 150–159. 22 indexed citations
13.
Holmström, Lasse. (2008). Nonlinear Dimensionality Reduction by John A. Lee, Michel Verleysen. International Statistical Review. 76(2). 308–309. 1 indexed citations
14.
Hoti, Fabian, Annamari Tuulio‐Henriksson, Jari Haukka, et al.. (2004). Family-based clusters of cognitive test performance in familial schizophrenia. BMC Psychiatry. 4(1). 20–20. 21 indexed citations
15.
Hoti, Fabian & Lasse Holmström. (2003). On the estimation error in binned local linear regression. Journal of nonparametric statistics. 15(4-5). 625–642. 1 indexed citations
16.
Holmström, Lasse & Stephan R. Sain. (1997). Multivariate Discrimination Methods for Top Quark Analysis. Technometrics. 39(1). 91–99. 1 indexed citations
17.
Holmström, Lasse, Stephan R. Sain, & H. Miettinen. (1995). A new multivariate technique for top quark search. Computer Physics Communications. 88(2-3). 195–210. 14 indexed citations
18.
Koistinen, Petri & Lasse Holmström. (1991). Kernel Regression and Backpropagation Training With Noise. Neural Information Processing Systems. 4. 1033–1039. 20 indexed citations
19.
Holmström, Lasse. (1983). A Note on Countably Normed Nuclear Spaces. Proceedings of the American Mathematical Society. 89(3). 453–453. 3 indexed citations
20.
Holmström, Lasse. (1982). Universal classes of nuclear Köthe spaces with a continuous norm. Journal of Functional Analysis. 48(1). 12–19. 2 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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