Jørgen Berntsen

2.3k total citations · 1 hit paper
49 papers, 1.6k citations indexed

About

Jørgen Berntsen is a scholar working on Soil Science, Public Health, Environmental and Occupational Health and Environmental Chemistry. According to data from OpenAlex, Jørgen Berntsen has authored 49 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Soil Science, 17 papers in Public Health, Environmental and Occupational Health and 17 papers in Environmental Chemistry. Recurrent topics in Jørgen Berntsen's work include Soil Carbon and Nitrogen Dynamics (19 papers), Reproductive Biology and Fertility (17 papers) and Soil and Water Nutrient Dynamics (16 papers). Jørgen Berntsen is often cited by papers focused on Soil Carbon and Nitrogen Dynamics (19 papers), Reproductive Biology and Fertility (17 papers) and Soil and Water Nutrient Dynamics (16 papers). Jørgen Berntsen collaborates with scholars based in Denmark, Sri Lanka and United States. Jørgen Berntsen's co-authors include Jørgen E. Olesen, Björn Petersen, Mikkel Fly Kragh, Jens Rimestad, Søren B. Hansen, Nicholas John Hutchings, Lars Stoumann Jensen, Elly Møller Hansen, Brian H. Jacobsen and Bente Aa. Lomstein and has published in prestigious journals such as PLoS ONE, Scientific Reports and Limnology and Oceanography.

In The Last Decade

Jørgen Berntsen

45 papers receiving 1.4k citations

Hit Papers

Robust and generalizable embryo selection based on artifi... 2022 2026 2023 2024 2022 25 50 75
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences
    2022 82 citations Jørgen Berntsen, Jens Rimestad et al. PLoS ONE profile →

Peers

Jørgen Berntsen
Paulo José Duarte‐Neto Brazil
Gen Sakurai Japan
N.R. Brockington Brazil
J. N. Black Australia
Peter Zeilhofer Brazil
Greg McKeon Australia
Linus K. Munishi Tanzania
Gunnar Ekbohm Sweden
О. В. Жуков Ukraine
Linchao Li China
Paulo José Duarte‐Neto Brazil
Jørgen Berntsen
Citations per year, relative to Jørgen Berntsen Jørgen Berntsen (= 1×) peers Paulo José Duarte‐Neto

Countries citing papers authored by Jørgen Berntsen

Since Specialization
Citations

This map shows the geographic impact of Jørgen Berntsen'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 Jørgen Berntsen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jørgen Berntsen more than expected).

Fields of papers citing papers by Jørgen Berntsen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jørgen Berntsen. 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 Jørgen Berntsen. The network helps show where Jørgen Berntsen may publish in the future.

Co-authorship network of co-authors of Jørgen Berntsen

This figure shows the co-authorship network connecting the top 25 collaborators of Jørgen Berntsen. A scholar is included among the top collaborators of Jørgen Berntsen 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 Jørgen Berntsen. Jørgen Berntsen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Kato, Keiichi, Satoshi Ueno, Jørgen Berntsen, Tadashi Okimura, & Tomoko Kuroda. (2023). O-240 Does embryo categorisation by existing artificial intelligence, morphokinetic, or morphological embryo selection models correlate with blastocyst euploidy rates?. Human Reproduction. 38(Supplement_1). 1 indexed citations
2.
Ahlström, Aisling, Jørgen Berntsen, Christina Bergh, et al.. (2023). Correlations between a deep learning-based algorithm for embryo evaluation with cleavage-stage cell numbers and fragmentation. Reproductive BioMedicine Online. 47(6). 103408–103408. 12 indexed citations
3.
Johansen, Martin Berg, et al.. (2023). Using blastocyst re-expansion rate for deciding when to warm a new blastocyst for single vitrified–warmed blastocyst transfer. Reproductive BioMedicine Online. 47(6). 103378–103378. 4 indexed citations
4.
Ueno, Satoshi, Jørgen Berntsen, Tadashi Okimura, & Keiichi Kato. (2023). Improved pregnancy prediction performance in an updated deep-learning embryo selection model: a retrospective independent validation study. Reproductive BioMedicine Online. 48(1). 103308–103308. 8 indexed citations
5.
Kragh, Mikkel Fly, et al.. (2023). Development and validation of deep learning based embryo selection across multiple days of transfer. Scientific Reports. 13(1). 4235–4235. 41 indexed citations
6.
Johansen, Martin Berg, Erik Thorlund Parner, Mikkel Fly Kragh, et al.. (2023). Comparing performance between clinics of an embryo evaluation algorithm based on time-lapse images and machine learning. Journal of Assisted Reproduction and Genetics. 40(9). 2129–2137. 8 indexed citations
7.
Cimadomo, Danilo, Federica Innocenti, Valentina Casciani, et al.. (2023). Towards Automation in IVF: Pre-Clinical Validation of a Deep Learning-Based Embryo Grading System during PGT-A Cycles. Journal of Clinical Medicine. 12(5). 1806–1806. 31 indexed citations
8.
Berntsen, Jørgen, et al.. (2022). Robust and generalizable embryo selection based on artificial intelligence and time-lapse image sequences. PLoS ONE. 17(2). e0262661–e0262661. 82 indexed citations breakdown →
9.
Kato, Keiichi, Satoshi Ueno, Jørgen Berntsen, et al.. (2022). Does embryo categorization by existing artificial intelligence, morphokinetic or morphological embryo selection models correlate with blastocyst euploidy rates?. Reproductive BioMedicine Online. 46(2). 274–281. 22 indexed citations
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Kragh, Mikkel Fly, Jens Rimestad, Jørgen Berntsen, & Henrik Karstoft. (2019). Automatic grading of human blastocysts from time-lapse imaging. Computers in Biology and Medicine. 115. 103494–103494. 75 indexed citations
14.
Askegaard, Margrethe, Ingrid Kaag Thomsen, Jørgen Berntsen, Mogens S. Hovmøller, & Kristian Kristensen. (2011). Performance of spring barley varieties and variety mixtures as affected by manure application and their order in an organic crop rotation. Acta Agriculturae Scandinavica Section B - Soil & Plant Science. 61(5). 421–430. 4 indexed citations
15.
Scott, L., Jørgen Berntsen, D.W. Davies, et al.. (2008). Human oocyte respiration-rate measurement – potential to improve oocyte and embryo selection?. Reproductive BioMedicine Online. 17(4). 461–469. 44 indexed citations
16.
Ramsing, Niels B., Jørgen Berntsen, & Henrik Callesen. (2007). Automated detection of cell division and movement in time-lapse images of developing bovine embryos can improve selection of viable embryos. Fertility and Sterility. 88. S38–S38. 9 indexed citations
17.
Askegaard, Margrethe, et al.. (2006). Performance of spring barley in an organic mixed crop rotation. 1 indexed citations
18.
Petersen, Björn, Lars Stoumann Jensen, Jørgen Berntsen, et al.. (2005). CN-SIM - a model for the turnover of soil organic mattter. II: Short term carbon and nitrogen development. Organic Eprints (International Centre for Research in Organic Food Systems, and Research Institute of Organic Agriculture). 1 indexed citations
19.
Petersen, Björn, Lars Stoumann Jensen, Søren B. Hansen, et al.. (2004). CN-SIM: a model for the turnover of soil organic matter. II. Short-term carbon and nitrogen development. Soil Biology and Biochemistry. 37(2). 375–393. 46 indexed citations
20.
Berntsen, Jørgen, et al.. (1999). The effect of eelgrass decomposition on sediment carbon and nitrogen cycling: A controlled laboratory experiment. Limnology and Oceanography. 44(8). 1978–1992. 55 indexed citations

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.

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