Morten Overgaard

477 total citations
18 papers, 320 citations indexed

About

Morten Overgaard is a scholar working on Statistics and Probability, Genetics and Cognitive Neuroscience. According to data from OpenAlex, Morten Overgaard has authored 18 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Statistics and Probability, 4 papers in Genetics and 3 papers in Cognitive Neuroscience. Recurrent topics in Morten Overgaard's work include Statistical Methods and Inference (9 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Causal Inference Techniques (4 papers). Morten Overgaard is often cited by papers focused on Statistical Methods and Inference (9 papers), Statistical Methods and Bayesian Inference (5 papers) and Advanced Causal Inference Techniques (4 papers). Morten Overgaard collaborates with scholars based in Denmark, Sweden and United States. Morten Overgaard's co-authors include Erik Thorlund Parner, Per Kragh Andersen, Jan Skov Pedersen, Mogens Vestergaard, Diana Schendel, Jakob Christensen, Meta Jørgensen, Jens Leipziger, Helle A. Prætorius and Mikkel Erik Juul Jensen and has published in prestigious journals such as The FASEB Journal, Statistics in Medicine and The Annals of Statistics.

In The Last Decade

Morten Overgaard

14 papers receiving 317 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Morten Overgaard Denmark 9 91 85 58 54 44 18 320
P.K. Tandon United States 7 78 0.9× 17 0.2× 33 0.6× 41 0.8× 44 1.0× 10 335
Raluca Mihăescu Netherlands 10 26 0.3× 19 0.2× 148 2.6× 64 1.2× 60 1.4× 15 366
Nichole Taske United Kingdom 11 12 0.1× 8 0.1× 37 0.6× 34 0.6× 172 3.9× 17 394
Zhenglun Pan China 7 14 0.2× 17 0.2× 41 0.7× 31 0.6× 40 0.9× 10 308
D Faries United States 9 38 0.4× 56 0.7× 7 0.1× 164 3.0× 7 0.2× 24 371
Andrew Schuster United States 14 10 0.1× 6 0.1× 28 0.5× 53 1.0× 119 2.7× 27 401
Allison H. Lin United States 12 77 0.8× 52 0.6× 8 0.1× 17 0.3× 33 0.8× 18 351
Montserrat Durán-Bouza Spain 10 31 0.3× 14 0.2× 14 0.2× 46 0.9× 35 0.8× 38 275
Herm J. Lamberink Netherlands 10 52 0.6× 20 0.2× 27 0.5× 310 5.7× 10 0.2× 15 450
Maria Gugliotta Italy 7 74 0.8× 55 0.6× 13 0.2× 27 0.5× 6 0.1× 14 342

Countries citing papers authored by Morten Overgaard

Since Specialization
Citations

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

Fields of papers citing papers by Morten Overgaard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Morten Overgaard

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

All Works

18 of 18 papers shown
1.
Hansen, Stefan Nygaard & Morten Overgaard. (2024). Variance estimation for average treatment effects estimated by g-computation. Metrika. 88(4). 419–443.
2.
Schendel, Diana, Linda Ejlskov, Morten Overgaard, et al.. (2024). 3‐generation family histories of mental, neurologic, cardiometabolic, birth defect, asthma, allergy, and autoimmune conditions associated with autism: An open‐source catalog of findings. Autism Research. 17(10). 2144–2155. 1 indexed citations
3.
Parner, Erik Thorlund & Morten Overgaard. (2024). Estimation of win, loss probabilities, and win ratio based on right‐censored event data. Scandinavian Journal of Statistics. 52(1). 170–184.
4.
Parner, Erik Thorlund, Per Kragh Andersen, & Morten Overgaard. (2023). Regression models for censored time-to-event data using infinitesimal jack-knife pseudo-observations, with applications to left-truncation. Lifetime Data Analysis. 29(3). 654–671.
5.
Parner, Erik Thorlund & Morten Overgaard. (2023). Win‐loss parameters for right‐censored event data, with application to recurrent events. Statistics in Medicine. 42(30). 5723–5735.
6.
Overgaard, Morten, Per Kragh Andersen, & Erik Thorlund Parner. (2023). Pseudo-observations in a multistate setting. The Stata Journal Promoting communications on statistics and Stata. 23(2). 491–517. 2 indexed citations
7.
Andersen, Per Kragh, et al.. (2021). Bivariate pseudo-observations for recurrent event analysis with terminal events. Lifetime Data Analysis. 29(2). 256–287. 6 indexed citations
8.
Parner, Erik Thorlund, Per Kragh Andersen, & Morten Overgaard. (2020). Cumulative risk regression in case–cohort studies using pseudo-observations. Lifetime Data Analysis. 26(4). 639–658. 7 indexed citations
9.
Overgaard, Morten, Erik Thorlund Parner, & Jan Skov Pedersen. (2019). Pseudo-observations under covariate-dependent censoring. Journal of Statistical Planning and Inference. 202. 112–122. 12 indexed citations
10.
Overgaard, Morten, Erik Thorlund Parner, & Jan Skov Pedersen. (2018). Estimating the variance in a pseudo‐observation scheme with competing risks. Scandinavian Journal of Statistics. 45(4). 923–940. 9 indexed citations
11.
Overgaard, Morten, Erik Thorlund Parner, & Jan Skov Pedersen. (2017). Asymptotic theory of generalized estimating equations based on jack-knife pseudo-observations. The Annals of Statistics. 45(5). 45 indexed citations
12.
Hansen, Stefan Nygaard, Morten Overgaard, Per Kragh Andersen, & Erik Thorlund Parner. (2017). Estimating a population cumulative incidence under calendar time trends. BMC Medical Research Methodology. 17(1). 7–7. 13 indexed citations
13.
Schendel, Diana, Morten Overgaard, Jakob Christensen, et al.. (2016). Association of Psychiatric and Neurologic Comorbidity With Mortality Among Persons With Autism Spectrum Disorder in a Danish Population. JAMA Pediatrics. 170(3). 243–243. 92 indexed citations
14.
Christensen, Jakob, Morten Overgaard, Erik Thorlund Parner, Mogens Vestergaard, & Diana Schendel. (2016). Risk of epilepsy and autism in full and half siblings—A population‐based cohort study. Epilepsia. 57(12). 2011–2018. 17 indexed citations
15.
Overgaard, Morten, Per Kragh Andersen, & Erik Thorlund Parner. (2015). Regression Analysis of Censored Data Using Pseudo-observations: An Update. The Stata Journal Promoting communications on statistics and Stata. 15(3). 809–821. 48 indexed citations
16.
Árnadóttir, Sigrid S., et al.. (2013). Renal epithelial cells can release ATP by vesicular fusion. Frontiers in Physiology. 4. 238–238. 21 indexed citations
17.
Overgaard, Morten, et al.. (2007). Slow spontaneous [Ca2+]i oscillations reflect nucleotide release from renal epithelia. Pflügers Archiv - European Journal of Physiology. 455(6). 1105–1117. 46 indexed citations
18.
Leipziger, Jens, et al.. (2007). Spontaneous [Ca 2+ ] i oscillations reflect nucleotide release from cultured and intact renal epithelia. The FASEB Journal. 21(6). 1 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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