Linda Olsson
- Industrial and Manufacturing Engineering top 2%
- Electrical and Electronic Engineering
- Statistics and Probability top 5%
- Pollution top 10%
- Ecology
- Co-authors
- R. ErlandssonUlf TräffRickard ÖstergrenHans BrixKenny SkagerlundPatricia van LoonJaime NivalaKinfe Kassa
- Topics
- Cognitive and developmental aspects of mathematical skills (8 papers)Force Microscopy Techniques and Applications (7 papers)Electric Vehicles and Infrastructure (6 papers)
In The Last Decade
Linda Olsson
37 papers receiving 895 citations
Peers
Comparison fields: 5 of 98
- Industrial and Manufacturing Engineering 268
- Electrical and Electronic Engineering 147
- Statistics and Probability 130
- Pollution 122
- Ecology 120
Countries citing papers authored by Linda Olsson
This map shows the geographic impact of Linda Olsson'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 Linda Olsson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linda Olsson more than expected).
Fields of papers citing papers by Linda Olsson
This network shows the impact of papers produced by Linda Olsson. 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 Linda Olsson. The network helps show where Linda Olsson may publish in the future.
Co-authorship network of co-authors of Linda Olsson
This figure shows the co-authorship network connecting the top 25 collaborators of Linda Olsson. A scholar is included among the top collaborators of Linda Olsson 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 Linda Olsson. Linda Olsson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 10 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 116 | |
| 6 | 3 | |
| 7 | Electric cargo bike with a twist - A field test of two innovative bicycle concepts - | 1 |
| 8 | 37 | |
| 9 | 26 | |
| 10 | 17 | |
| 11 | 27 | |
| 12 | 96 | |
| 13 | 105 | |
| 14 | 16 | |
| 15 | 79 | |
| 16 | Pathways to a renewable road transport system in Stockholm 2030 | 3 |
| 17 | 13 | |
| 18 | 33 | |
| 19 | 13 | |
| 20 | 19 |
About Linda Olsson
Linda Olsson is a scholar working on Statistics and Probability, Industrial and Manufacturing Engineering and Developmental and Educational Psychology, having authored 37 papers that have together received 928 indexed citations. Recurring topics across this work include Cognitive and developmental aspects of mathematical skills (8 papers), Force Microscopy Techniques and Applications (7 papers) and Electric Vehicles and Infrastructure (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (268 citations), Statistics and Probability (130 citations) and Pollution (122 citations). Linda Olsson has collaborated with scholars based in Sweden, Denmark and China. Frequent co-authors include R. Erlandsson, Ulf Träff, Rickard Östergren, Hans Brix, Kenny Skagerlund, Patricia van Loon, Jaime Nivala, Kinfe Kassa, Tom Headley and Derek Diener. Their work appears in journals such as PLoS ONE, Journal of Applied Physics and The Science of The Total Environment.
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.