Lasse Holmström

2.4k citations
77 papers · 1.4k indexed · 1 hit paper · h-index 20
Topics
Geology and Paleoclimatology Research (16 papers)Tree-ring climate responses (13 papers)Soil Geostatistics and Mapping (10 papers)

In The Last Decade

Lasse Holmström

77 papers receiving 1.3k citations

Hit Papers

Using additive noise in back-propagation training1992202620032014199250100150200250

Peers

Lasse Holmström
Comparison fields: 5 of 143
  • Atmospheric Science 502
  • Artificial Intelligence 331
  • Global and Planetary Change 219
  • Ecology 162
  • Computer Vision and Pattern Recognition 144
Replace Daniel F. Merriam with:
Daniel F. Merriam United States
P.F. Verdes Argentina
J. D. Tubbs United States
Antonino D’Alessandro Italy
Olaf Hellwich Germany
Li Zhao China
Guo Guo
Ivana Tošić Serbia
David M. Fratantoni United States
Antti Penttinen Finland
Lasse Holmström relative to Daniel F. Merriam United States Daniel F. Merriam's profile →
Citations per field
00.5×3.6×
Daniel F. Merriam · 1×
Citations per year

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
#WorkIndexed citations
1 1
2 6
3 14
4 30
5 32
6 2
7 11
8 18
9 18
10 23
11 21
12 1
13 9
14 15
15 68
16 1
17 14
18
Using additive noise in back-propagation trainingbreakdown →
250
19
Kernel Regression and Backpropagation Training With Noise
20
20 2

About Lasse Holmström

Lasse Holmström is a scholar working on Atmospheric Science, Statistics and Probability and Environmental Engineering, having authored 77 papers that have together received 1.4k indexed citations. Recurring topics across this work include Geology and Paleoclimatology Research (16 papers), Tree-ring climate responses (13 papers) and Soil Geostatistics and Mapping (10 papers). The work is most often cited by research in Atmospheric Science (502 citations), Paleontology (127 citations) and Earth-Surface Processes (78 citations). Lasse Holmström has collaborated with scholars based in Finland, United States and Estonia. Frequent co-authors include Petri Koistinen, Panu Erästö, Atte Korhola, Jan Weckström, Leena Pasanen, Heikki Seppä, Erkki Oja, Jorma Laaksonen, Fabian Hoti and Ville Vuollo. Their work appears in journals such as Journal of Geophysical Research Atmospheres, PLoS ONE and Technometrics.

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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