Ida Scheel

705 citations
16 papers · 297 · h-index 10

Impact in

Papers in

Ida Scheel

16 papers receiving 290 citations

Peers

Ida Scheel
Comparison fields: 5 of 86
  • Statistics and Probability 43
  • Economics and Econometrics 58
  • Global and Planetary Change 37
  • Modeling and Simulation 7
  • Management Science and Operations Research 18
Replace Nicola Lunardon with:
Nicola Lunardon Italy
Paul L. Anderson United States
Donatella Vicari Italy
Carlos Daniel Paulino Portugal
S. Ravi India
Anang Kurnia Indonesia
Khairil Anwar Notodiputro Indonesia
Michael Grabchak United States
Ioanna Manolopoulou United Kingdom
Marcelo de Souza Lauretto Brazil
Ida Scheel relative to Nicola Lunardon Italy Nicola Lunardon's profile →
Citations per field
00.5×6.7×
Nicola Lunardon · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Ida Scheel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ida Scheel Line = papers co-authored together Ida Scheel links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 200550
2 200740
3 200735
4 202231
5 201230
6
Time-to-Event Prediction with Neural Networks and Cox Regression
201925
7 201120
8 201816
9 202314
10 201910
11 20109
12 20227
13 20126
14
A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims. Derivation of distributions and MCMC sampling schemes
20102
15 20191
16
Applications of the Local critique plot
20101

About Ida Scheel

Ida Scheel is a scholar working on Economics and Econometrics, Demography, Artificial Intelligence, Management Science and Operations Research and Statistics and Probability, having authored 16 papers that have together received 297 indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (4 papers), Data Management and Algorithms (2 papers), Statistical Methods and Bayesian Inference (2 papers), Statistical Methods and Inference (2 papers), Insurance and Financial Risk Management (2 papers), Bayesian Modeling and Causal Inference (2 papers), Recommender Systems and Techniques (2 papers) and Spatial and Panel Data Analysis (2 papers). The work is most often cited by research in Statistics and Probability (43 citations), Economics and Econometrics (58 citations), Global and Planetary Change (37 citations), Modeling and Simulation (7 citations) and Management Science and Operations Research (18 citations). Ida Scheel has collaborated with scholars based in Norway, United States and France. Frequent co-authors include Arnoldo Frigessi, Magne Aldrin, Dag Einar Sommervoll, Johan Pensar, Anders Hjort, Peder A. Jansen, Ola Haug, Ørnulf Borgan, Ragnhild Sørum and Heidi Lyng. Their work appears in journals such as Scandinavian Journal of Statistics, Tellus A Dynamic Meteorology and Oceanography, Journal of Property Research, The Geneva Papers on Risk and Insurance Issues and Practice and Decision Support Systems.

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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