Ida Scheel

688 total citations
16 papers, 288 citations indexed

About

Ida Scheel is a scholar working on Economics and Econometrics, Demography and Artificial Intelligence. According to data from OpenAlex, Ida Scheel has authored 16 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Economics and Econometrics, 4 papers in Demography and 3 papers in Artificial Intelligence. Recurrent topics in Ida Scheel's work include Insurance, Mortality, Demography, Risk Management (4 papers), Statistical Methods and Bayesian Inference (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Ida Scheel is often cited by papers focused on Insurance, Mortality, Demography, Risk Management (4 papers), Statistical Methods and Bayesian Inference (2 papers) and Bayesian Modeling and Causal Inference (2 papers). Ida Scheel collaborates with scholars based in Norway, United Kingdom and France. Ida Scheel's co-authors include Arnoldo Frigessi, Magne Aldrin, Johan Pensar, Peder A. Jansen, Anders Hjort, Dag Einar Sommervoll, Ingrid K. Glad, Ørnulf Borgan, Heidi Lyng and Ragnhild Sørum and has published in prestigious journals such as Bioinformatics, Decision Support Systems and Journal of Machine Learning Research.

In The Last Decade

Ida Scheel

16 papers receiving 282 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ida Scheel Norway	10	56	53	48	44	37	16	288
Brian D. Williamson United States	12	24 0.4×	96 1.8×	40 0.8×	56 1.3×	11 0.3×	44	501
Yiwang Zhou United States	9	69 1.2×	37 0.7×	18 0.4×	27 0.6×	24 0.6×	22	327
Carlos Daniel Paulino Portugal	11	23 0.4×	29 0.5×	95 2.0×	174 4.0×	19 0.5×	31	360
Juhee Lee United States	11	57 1.0×	87 1.6×	31 0.6×	144 3.3×	44 1.2×	30	402
Ivan E. Auger United States	6	21 0.4×	108 2.0×	31 0.6×	38 0.9×	20 0.5×	12	432
Marcelo de Souza Lauretto Brazil	11	12 0.2×	41 0.8×	50 1.0×	50 1.1×	11 0.3×	67	371
Paul L. Anderson United States	16	67 1.2×	45 0.8×	47 1.0×	55 1.3×	87 2.4×	23	548
Kenneth K. Lopiano United States	8	51 0.9×	165 3.1×	15 0.3×	10 0.2×	12 0.3×	17	436
Xiao Jiang China	12	63 1.1×	55 1.0×	54 1.1×	63 1.4×	4 0.1×	29	500
David Manheim Israel	11	45 0.8×	23 0.4×	19 0.4×	6 0.1×	26 0.7×	39	288

Countries citing papers authored by Ida Scheel

Since Specialization

Citations

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

Fields of papers citing papers by Ida Scheel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ida Scheel

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

All Works

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16 of 16 papers shown

Hjort, Anders, Ida Scheel, Dag Einar Sommervoll, & Johan Pensar. (2023). Locally interpretable tree boosting: An application to house price prediction. Decision Support Systems. 178. 114106–114106. 12 indexed citations

Hjort, Anders, Johan Pensar, Ida Scheel, & Dag Einar Sommervoll. (2022). House price prediction with gradient boosted trees under different loss functions. Journal of Property Research. 39(4). 338–364. 27 indexed citations

Hellton, Kristoffer H., et al.. (2022). An agent-based model with social interactions for scalable probabilistic prediction of performance of a new product. International Journal of Information Management Data Insights. 2(2). 100127–100127. 7 indexed citations

Borgan, Ørnulf, et al.. (2019). Time-to-Event Prediction with Neural Networks and Cox Regression. Journal of Machine Learning Research. 20(129). 1–30. 24 indexed citations

Liu, Qinghua, Andrew H. Reiner, Arnoldo Frigessi, & Ida Scheel. (2019). Diverse personalized recommendations with uncertainty from implicit preference data with the Bayesian Mallows model. Knowledge-Based Systems. 186. 104960–104960. 9 indexed citations

Gåsemyr, Jørund & Ida Scheel. (2019). Alternatives to post‐processing posterior predictive p values. Scandinavian Journal of Statistics. 46(4). 1252–1273. 1 indexed citations

Liu, Qinghua, et al.. (2018). Model-Based Learning from Preference Data. Annual Review of Statistics and Its Application. 6(1). 329–354. 15 indexed citations

Scheel, Ida, et al.. (2012). A Bayesian Hierarchical Model with Spatial Variable Selection: The Effect of Weather on Insurance Claims. Journal of the Royal Statistical Society Series C (Applied Statistics). 62(1). 85–100. 30 indexed citations

Scheel, Ida, et al.. (2012). The Impact of Climate Change on Precipitation-related Insurance Risk: A Study of the Effect of Future Scenarios on Residential Buildings in Norway. The Geneva Papers on Risk and Insurance Issues and Practice. 37(2). 365–376. 6 indexed citations

10.

Scheel, Ida, et al.. (2011). Evaluation of a dynamic downscaling of precipitation over the Norwegian mainland. Tellus A Dynamic Meteorology and Oceanography. 63(4). 746–746. 20 indexed citations

11.

Scheel, Ida, et al.. (2010). Applications of the Local critique plot. Duo Research Archive (University of Oslo). 1 indexed citations

12.

Scheel, Ida, et al.. (2010). A Graphical Diagnostic for Identifying Influential Model Choices in Bayesian Hierarchical Models. Scandinavian Journal of Statistics. 38(3). 529–550. 9 indexed citations

13.

Scheel, Ida, et al.. (2010). A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims. Derivation of distributions and MCMC sampling schemes. Duo Research Archive (University of Oslo). 2 indexed citations

14.

Parr, Christine L, Anette Hjartåker, Ida Scheel, et al.. (2007). Comparing methods for handling missing values in food-frequency questionnaires and proposing k nearest neighbours imputation: effects on dietary intake in the Norwegian Women and Cancer study (NOWAC). Public Health Nutrition. 11(4). 361–370. 35 indexed citations

15.

Scheel, Ida, Magne Aldrin, Arnoldo Frigessi, & Peder A. Jansen. (2007). A stochastic model for infectious salmon anemia (ISA) in Atlantic salmon farming. Journal of The Royal Society Interface. 4(15). 699–706. 40 indexed citations

16.

Scheel, Ida, Magne Aldrin, Ingrid K. Glad, et al.. (2005). The influence of missing value imputation on detection of differentially expressed genes from microarray data. Bioinformatics. 21(23). 4272–4279. 50 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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