S. Laakso
- Mechanical Engineering top 10%
- Molecular Biology
- Biomedical Engineering top 10%
- Food Science top 5%
- Nutrition and Dietetics top 10%
- Co-authors
- Merja SuutariKirsi LiukkonenEsko NiemiMauri MäkeläMathias AgmellTimo KorpelaJan-Eric StåhlAnu Kaukovirta‐Norja
- Topics
- Advanced machining processes and optimization (16 papers)Advanced Surface Polishing Techniques (11 papers)Microbial Metabolic Engineering and Bioproduction (8 papers)
In The Last Decade
S. Laakso
60 papers receiving 896 citations
Peers
Comparison fields: 5 of 105
- Mechanical Engineering 333
- Molecular Biology 299
- Biomedical Engineering 279
- Food Science 157
- Nutrition and Dietetics 139
Countries citing papers authored by S. Laakso
This map shows the geographic impact of S. Laakso'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 S. Laakso with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites S. Laakso more than expected).
Fields of papers citing papers by S. Laakso
This network shows the impact of papers produced by S. Laakso. 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 S. Laakso. The network helps show where S. Laakso may publish in the future.
Co-authorship network of co-authors of S. Laakso
This figure shows the co-authorship network connecting the top 25 collaborators of S. Laakso. A scholar is included among the top collaborators of S. Laakso 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 S. Laakso. S. Laakso is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 18 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | Simulation Model of Electrical Steel Piercing | 1 |
| 9 | 23 | |
| 10 | 18 | |
| 11 | 13 | |
| 12 | Finite Element Method Modeling of the Stainless Steel Cutting Process Using Different Machining Parameters | 2 |
| 13 | 11 | |
| 14 | 13 | |
| 15 | Lipoxygenase activity during malting and storage of malt | 1 |
| 16 | 38 | |
| 17 | Influence of spruce and pine on the percentage cover, flowering and berry yields of bilberry. | 3 |
| 18 | 225 | |
| 19 | 79 | |
| 20 | 12 |
About S. Laakso
S. Laakso is a scholar working on Biochemistry, Ecological Modeling and Mechanical Engineering, having authored 61 papers that have together received 972 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (16 papers), Advanced Surface Polishing Techniques (11 papers) and Microbial Metabolic Engineering and Bioproduction (8 papers). The work is most often cited by research in Biotechnology (83 citations), Nutrition and Dietetics (139 citations) and Mechanical Engineering (333 citations). S. Laakso has collaborated with scholars based in Finland, Sweden and China. Frequent co-authors include Merja Suutari, Kirsi Liukkonen, Esko Niemi, Mauri Mäkelä, Mathias Agmell, Timo Korpela, Jan-Eric Ståhl, Anu Kaukovirta‐Norja, Juhani Olkku and Annukka Rintamäki. Their work appears in journals such as Science, Applied and Environmental Microbiology and Journal of Lipid Research.
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.