Solve Sæbø

4.2k citations
57 papers · 3.5k · 1 hit paper · h-index 22

Impact in

    • Spectroscopy and Chemometric Analyses
  • Ecology top 2%
    • Wildlife Ecology and Conservation
    • Remote Sensing in Agriculture

Papers in

Solve Sæbø

57 papers receiving 3.2k citations

Solve Sæbø's Hit Papers

A review of variable selection methods in Partial Least Squares Regression 2012 · 1.3k citations
1.3k0+4+9Years since publication4008001.2k

Peers

Solve Sæbø
Comparison fields: 5 of 176
  • Analytical Chemistry 835
  • Ecology 1k
  • Statistics and Probability 161
  • Computational Mathematics 6
  • Genetics 273
Replace Bjørn‐Helge Mevik with:
Bjørn‐Helge Mevik Norway
Tahir Mehmood Pakistan
Kristian Hovde Liland Norway
Jeroen Jasper Jansen Netherlands
James C. Schnable United States
Margaret A. Nemeth United States
Willem Waegeman Belgium
Osval Antonio Montesinos-López Mexico
J.M. Andrade Spain
Ulf Geir Indahl Norway
Solve Sæbø relative to Bjørn‐Helge Mevik Norway Bjørn‐Helge Mevik's profile →
Citations per field
00.5×2×3.4×
Bjørn‐Helge Mevik · 1×
Citations per year

Countries citing papers authored by Solve Sæbø

Since Specialization
Citations

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

Fields of papers citing papers by Solve Sæbø

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Solve Sæbø, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Solve Sæbø Line = papers co-authored together Solve Sæbø links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A review of variable selection methods in Partial Least Squares Regression
Hit paper breakdown →
20121341
2 2006176
3 2020166
4 2005163
5 2012158
6 2007145
7 2013123
8 2014122
9 201199
10 201095
11 201693
12 201176
13 201772
14 201856
15 201247
16 201446
17 201943
18 200737
19 201833
20 201331

About Solve Sæbø

Solve Sæbø is a scholar working on Statistics and Probability, Analytical Chemistry, Ecology, Genetics and Management Science and Operations Research, having authored 57 papers that have together received 3.5k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (11 papers), Advanced Statistical Methods and Models (10 papers), Statistical Methods and Applications (10 papers), Spectroscopy and Chemometric Analyses (8 papers), Bioinformatics and Genomic Networks (7 papers), Gene expression and cancer classification (6 papers), Statistical Methods and Inference (5 papers) and Genetic and phenotypic traits in livestock (5 papers). The work is most often cited by research in Analytical Chemistry (835 citations), Ecology (1k citations), Statistics and Probability (161 citations), Computational Mathematics (6 citations) and Genetics (273 citations). Solve Sæbø has collaborated with scholars based in Norway, Sweden and United Kingdom. Frequent co-authors include Tahir Mehmood, Kristian Hovde Liland, Lars Gustav Snipen, Ole‐Gunnar Støen, Jon E. Swenson, Andrés Ordiz, Jonas Kindberg, Andreas Zedrosser, Eva Bellemain and Harald A. Martens. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Journal of Chemometrics, BMC Bioinformatics, Biological Conservation and Journal of Dairy Science.

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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