Jorunn M. Andersen
About
In The Last Decade
Jorunn M. Andersen
15 papers receiving 324 citations
Peers
Comparison fields: 5 of 75
- Reproductive Medicine 192
- Public Health, Environmental and Occupational Health 125
- Molecular Biology 80
- Endocrinology, Diabetes and Metabolism 44
- Pediatrics, Perinatology and Child Health 39
Countries citing papers authored by Jorunn M. Andersen
This map shows the geographic impact of Jorunn M. Andersen'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 Jorunn M. Andersen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jorunn M. Andersen more than expected).
Fields of papers citing papers by Jorunn M. Andersen
This network shows the impact of papers produced by Jorunn M. Andersen. 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 Jorunn M. Andersen. The network helps show where Jorunn M. Andersen may publish in the future.
Co-authorship network of co-authors of Jorunn M. Andersen
This figure shows the co-authorship network connecting the top 25 collaborators of Jorunn M. Andersen. A scholar is included among the top collaborators of Jorunn M. Andersen 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 Jorunn M. Andersen. Jorunn M. Andersen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 8 | |
| 3 | 23 | |
| 4 | 6 | |
| 5 | 57 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | Medico Multimedia Task at MediaEval 2019. | 5 |
| 9 | Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features. | 2 |
| 10 | 25 | |
| 11 | 64 | |
| 12 | 25 | |
| 13 | 60 | |
| 14 | 11 | |
| 15 | 14 | |
| 16 | 25 |
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.