Solve Sæbø
Impact in
- Analytical Chemistry top 0.2%
- Spectroscopy and Chemometric Analyses
- Biophysics top 1%
- Spectroscopy Techniques in Biomedical and Chemical Research
Papers in
- Ecology 12
- Wildlife Ecology and Conservation 11
- Rangeland and Wildlife Management 4
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- Gene expression and cancer classification 7
- Co-authors
- Tahir Mehmood (6 shared papers)Kristian Hovde Liland (5 shared papers)Lars Snipen (9 shared papers)Ole‐Gunnar Støen (12 shared papers)Jon E. Swenson (10 shared papers)Andrés Ordiz (6 shared papers)Jonas Kindberg (5 shared papers)Andreas Zedrosser (2 shared papers)
- Journals
- Chemometrics and Intelligent Laboratory Systems (8 papers)Journal of Chemometrics (5 papers)BMC Bioinformatics (3 papers)Biological Conservation (3 papers)Statistical Applications in Genetics and Molecular Biology (2 papers)
- Partner nations
- NorwaySwedenUnited States
In The Last Decade
Solve Sæbø
55 papers receiving 3.0k citations
Solve Sæbø's Hit Papers
Peers
Comparison fields: 5 of 176
- Analytical Chemistry 859
- Biophysics 239
- Ecology 979
- Small Animals 226
- Ecological Modeling 116
Countries citing papers authored by Solve Sæbø
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
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.
All Works
Showing the 20 most-cited of 56 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 → | 2012 | 1275 |
| 2 | 2020 | 153 | |
| 3 | 2006 | 152 | |
| 4 | 2005 | 139 | |
| 5 | 2012 | 130 | |
| 6 | 2007 | 121 | |
| 7 | 2013 | 100 | |
| 8 | 2014 | 96 | |
| 9 | 2011 | 90 | |
| 10 | 2010 | 87 | |
| 11 | 2011 | 69 | |
| 12 | 2016 | 69 | |
| 13 | 2017 | 63 | |
| 14 | 2012 | 44 | |
| 15 | 2007 | 32 | |
| 16 | 2018 | 31 | |
| 17 | 2013 | 27 | |
| 18 | 2018 | 26 | |
| 19 | 2013 | 26 | |
| 20 | 2009 | 23 |
About Solve Sæbø
Solve Sæbø is a scholar working on Ecology, Molecular Biology, Analytical Chemistry, Genetics and Statistics and Probability, having authored 56 papers that have together received 3.0k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (11 papers), Spectroscopy and Chemometric Analyses (11 papers), Advanced Statistical Methods and Models (7 papers), Gene expression and cancer classification (7 papers), Genetic and phenotypic traits in livestock (5 papers), Animal Behavior and Welfare Studies (5 papers), Rangeland and Wildlife Management (4 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). The work is most often cited by research in Analytical Chemistry (859 citations), Biophysics (239 citations), Ecology (979 citations), Small Animals (226 citations) and Ecological Modeling (116 citations). Solve Sæbø has collaborated with scholars based in Norway, Sweden and United States. Frequent co-authors include Tahir Mehmood, Kristian Hovde Liland, Lars Snipen, Ole‐Gunnar Støen, Jon E. Swenson, Andrés Ordiz, Jonas Kindberg, Andreas Zedrosser, Eva Bellemain and Harald Martens. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Journal of Chemometrics, BMC Bioinformatics, Biological Conservation and Statistical Applications in Genetics and Molecular Biology.
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.