Jørund Gåsemyr

566 total citations
40 papers, 371 citations indexed

About

Jørund Gåsemyr is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Statistics, Probability and Uncertainty. According to data from OpenAlex, Jørund Gåsemyr has authored 40 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 15 papers in Safety, Risk, Reliability and Quality and 12 papers in Statistics, Probability and Uncertainty. Recurrent topics in Jørund Gåsemyr's work include Reliability and Maintenance Optimization (15 papers), Statistical Distribution Estimation and Applications (12 papers) and Probabilistic and Robust Engineering Design (7 papers). Jørund Gåsemyr is often cited by papers focused on Reliability and Maintenance Optimization (15 papers), Statistical Distribution Estimation and Applications (12 papers) and Probabilistic and Robust Engineering Design (7 papers). Jørund Gåsemyr collaborates with scholars based in Norway and Sweden. Jørund Gåsemyr's co-authors include Bent Natvig, Ingunn Fride Tvete, Marianne Klemp, S Eggen, Bård Natvig, Arnoldo Frigessi, Håvard Rue, Arne Bang Huseby, Ivar Aursnes and Fredrik A. Dahl and has published in prestigious journals such as PLoS ONE, The Annals of Statistics and Reliability Engineering & System Safety.

In The Last Decade

Jørund Gåsemyr

39 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jørund Gåsemyr Norway 12 129 100 93 55 55 40 371
Yufei Song China 12 4 0.0× 53 0.5× 66 0.7× 3 0.1× 40 0.7× 37 316
Carlos Tenreiro Portugal 10 143 1.1× 2 0.0× 28 0.3× 49 0.9× 30 359
Duo Zhou United States 9 46 0.4× 2 0.0× 2 0.0× 2 0.0× 24 0.4× 17 435
Jonathan L. Lustgarten United States 8 9 0.1× 3 0.0× 1 0.0× 73 1.3× 92 1.7× 12 414
Hua Huo China 10 5 0.0× 4 0.0× 3 0.0× 22 0.4× 78 1.4× 53 273
Plamen Mateev Bulgaria 9 19 0.2× 19 0.2× 9 0.2× 80 1.5× 22 297
John J. Wiorkowski United States 11 28 0.2× 15 0.1× 3 0.0× 12 0.2× 22 468
Pierpaolo De Blasi Italy 12 119 0.9× 3 0.0× 35 0.6× 160 2.9× 22 319

Countries citing papers authored by Jørund Gåsemyr

Since Specialization
Citations

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

Fields of papers citing papers by Jørund Gåsemyr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jørund Gåsemyr

This figure shows the co-authorship network connecting the top 25 collaborators of Jørund Gåsemyr. A scholar is included among the top collaborators of Jørund Gåsemyr 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 Jørund Gåsemyr. Jørund Gåsemyr 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.
Tvete, Ingunn Fride, et al.. (2020). Comparative effectiveness of dopamine agonists and monoamine oxidase type-B inhibitors for Parkinson’s disease: a multiple treatment comparison meta-analysis. European Journal of Clinical Pharmacology. 76(12). 1731–1743. 32 indexed citations
2.
Natvig, Bent, et al.. (2018). Reliability Analysis of Network Real-Time Kinematic. Journal of Electrical and Computer Engineering. 2018. 1–16. 2 indexed citations
3.
Tvete, Ingunn Fride, et al.. (2015). Comparing Effects of Biologic Agents in Treating Patients with Rheumatoid Arthritis: A Multiple Treatment Comparison Regression Analysis. PLoS ONE. 10(9). e0137258–e0137258. 15 indexed citations
4.
Gåsemyr, Jørund. (2012). Bounds for the Availabilities of Multistate Monotone Systems Based on Decomposition into Stochastically Independent Modules. Advances in Applied Probability. 44(1). 292–308. 1 indexed citations
5.
Gåsemyr, Jørund. (2012). Bounds for the Availabilities of Multistate Monotone Systems Based on Decomposition into Stochastically Independent Modules. Advances in Applied Probability. 44(1). 292–308. 1 indexed citations
6.
Klemp, Marianne, Ingunn Fride Tvete, Jørund Gåsemyr, Bent Natvig, & Ivar Aursnes. (2011). Meta-Regression Analysis of Paroxetine Clinical Trial Data. Journal of Clinical Psychopharmacology. 31(2). 201–206. 6 indexed citations
7.
Natvig, Bent, et al.. (2009). Simulation based analysis and an application to an offshore oil and gas production system of the Natvig measures of component importance in repairable systems. Reliability Engineering & System Safety. 94(10). 1629–1638. 24 indexed citations
8.
Gåsemyr, Jørund & Bent Natvig. (2009). Extensions of a Conflict Measure of Inconsistencies in Bayesian Hierarchical Models. Scandinavian Journal of Statistics. 36(4). 822–838. 10 indexed citations
9.
Huseby, Arne Bang, et al.. (2008). Advanced discrete event simulation methods with application to importance measure estimation. Duo Research Archive (University of Oslo). 7 indexed citations
10.
Aursnes, Ivar, Jan‐Bjørn Osnes, Ingunn Fride Tvete, Jørund Gåsemyr, & Bent Natvig. (2007). Does atenolol differ from other β-adrenergic blockers?. PubMed. 7(1). 4–4. 12 indexed citations
11.
Gåsemyr, Jørund, et al.. (2004). An Application of Adaptive Independent Chain Metropolis–Hastings Algorithms in Bayesian Hazard Rate Estimation. Methodology And Computing In Applied Probability. 6(3). 293–302. 2 indexed citations
12.
Aursnes, Ivar, Ingunn Fride Tvete, Jørund Gåsemyr, & Bent Natvig. (2003). Clinical Efficacies of Antihypertensive Drugs. Scandinavian Cardiovascular Journal. 37(2). 72–79. 6 indexed citations
13.
Gåsemyr, Jørund, Bent Natvig, & Erik S. Sørensen. (2001). A Comparison of Two Sequential Metropolis-Hastings Algorithms with Standard Simulation Techniques in Bayesian Inference in Reliability Models Involving a Generalized Gamma Distribution. Methodology And Computing In Applied Probability. 3(1). 51–73. 3 indexed citations
14.
Gåsemyr, Jørund & Bent Natvig. (2001). Bayesian inference based on partial monitoring of components with applications to preventive system maintenance. Naval Research Logistics (NRL). 48(7). 551–577. 18 indexed citations
15.
Gåsemyr, Jørund & Terje Aven. (1999). Asymptotic distributions for downtimes of monotone systems. Journal of Applied Probability. 36(3). 814–824. 3 indexed citations
16.
Gåsemyr, Jørund & Terje Aven. (1999). Asymptotic distributions for downtimes of monotone systems. Journal of Applied Probability. 36(3). 814–824.
17.
Gåsemyr, Jørund & Terje Aven. (1999). Asymptotic distributions for downtimes of monotone systems. Journal of Applied Probability. 36(3). 814–824. 3 indexed citations
18.
Gåsemyr, Jørund & Bent Natvig. (1996). On a generalization of the gamma distribution. Duo Research Archive (University of Oslo). 2 indexed citations
19.
Eggen, S, Bent Natvig, & Jørund Gåsemyr. (1994). Variation in torus palatinus prevalence in Norway. European Journal Of Oral Sciences. 102(1). 54–59. 45 indexed citations
20.
Gåsemyr, Jørund & Bent Natvig. (1994). Bayesian Estimation of Component Lifetimes Based on Autopsy Data. Duo Research Archive (University of Oslo). 2 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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