Trine B. Haugen
- Reproductive Medicine top 0.1%
- Sperm and Testicular Function 34
- Reproductive Health and Technologies 9
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- Reproductive Biology and Fertility 20
- Physiology top 1%
- Reproductive biology and impacts on aquatic species 7
- Genetics top 2%
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 14
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- Testicular diseases and treatments 19
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- Sexual Differentiation and Disorders 10
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- Hormonal and reproductive studies 6
- Co-authors
- Christina WangSigrid von EckardsteinTrevor G. CooperMichael T. MbizvoKirsten M. VogelsongH.W.G. BakerThinus F. KrugerElizabeth Noonan
- Journals
- PLoS ONE (1 paper)The Science of The Total Environment (1 paper)The Journal of Clinical Endocrinology & Metabolism (3 papers)
- Partner nations
- NorwaySwedenUnited States
In The Last Decade
Trine B. Haugen
103 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Reproductive Medicine 2.7k
- Public Health, Environmental and Occupational Health 1.6k
- Physiology 256
- Pediatrics, Perinatology and Child Health 603
- Genetics 761
Countries citing papers authored by Trine B. Haugen
This map shows the geographic impact of Trine B. Haugen'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 Trine B. Haugen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trine B. Haugen more than expected).
Fields of papers citing papers by Trine B. Haugen
This network shows the impact of papers produced by Trine B. Haugen. 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 Trine B. Haugen. The network helps show where Trine B. Haugen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Trine B. Haugen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2023 | 8 | |
| 3 | Medico Multimedia Task at MediaEval 2019. | 2019 | 5 |
| 4 | Using Deep Learning to Predict Motility and Morphology of Human Sperm. | 2019 | 1 |
| 5 | Predicting Sperm Motility and Morphology Using Deep Learning and Handcrafted Features. | 2019 | 2 |
| 6 | Using 2D and 3D Convolutional Neural Networks to Predict Semen Quality. | 2019 | 1 |
| 7 | 2019 | 19 | |
| 8 | 2013 | 23 | |
| 9 | 2012 | 14 | |
| 10 | 2012 | 14 | |
| 11 | 2011 | 27 | |
| 12 | 2007 | 26 | |
| 13 | 2003 | 70 | |
| 14 | 2000 | 90 | |
| 15 | 2000 | 46 | |
| 16 | 2000 | 23 | |
| 17 | 1998 | 26 | |
| 18 | 1994 | 56 | |
| 19 | 1993 | 3 | |
| 20 | 1991 | 11 |
About Trine B. Haugen
Trine B. Haugen is a scholar working on Reproductive Medicine, Physiology and Health Informatics, having authored 107 papers that have together received 4.7k indexed citations. Recurring topics across this work include Sperm and Testicular Function (34 papers), Reproductive Biology and Fertility (20 papers), Testicular diseases and treatments (19 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (14 papers), Sexual Differentiation and Disorders (10 papers), Reproductive Health and Technologies (9 papers), Reproductive biology and impacts on aquatic species (7 papers) and Hormonal and reproductive studies (6 papers). The work is most often cited by research in Reproductive Medicine (2.7k citations), Public Health, Environmental and Occupational Health (1.6k citations) and Physiology (256 citations). Trine B. Haugen has collaborated with scholars based in Norway, Sweden and United States. Frequent co-authors include Christina Wang, Sigrid von Eckardstein, Trevor G. Cooper, Michael T. Mbizvo, Kirsten M. Vogelsong, H.W.G. Baker, Thinus F. Kruger, Elizabeth Noonan, Jacques Auger and Hermann M. Behre. Their work appears in journals such as PLoS ONE, The Science of The Total Environment and The Journal of Clinical Endocrinology & Metabolism.
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.