Egil Ferkingstad

4.2k citations
16 papers · 442 indexed · h-index 10
Topics
Gene expression and cancer classification (5 papers)Genomics and Chromatin Dynamics (5 papers)Statistical Methods and Bayesian Inference (3 papers)

In The Last Decade

Egil Ferkingstad

16 papers receiving 425 citations

Peers

Egil Ferkingstad
Comparison fields: 5 of 112
  • Statistics and Probability 183
  • Molecular Biology 150
  • Economics and Econometrics 67
  • Management Science and Operations Research 55
  • Artificial Intelligence 52
Replace Monica Chiogna with:
Monica Chiogna Italy
Minjung Kyung South Korea
Shunpu Zhang United States
Wenge Guo United States
Ryan Gill United States
Yichen Cheng United States
Jiangtao Gou United States
Egil Ferkingstad relative to Monica Chiogna Italy Monica Chiogna's profile →
Citations per field
00.5×2.8×
Monica Chiogna · 1×
Citations per year

Countries citing papers authored by Egil Ferkingstad

Since Specialization
Citations

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

Fields of papers citing papers by Egil Ferkingstad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Egil Ferkingstad

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 14
2 13
3 9
4 8
5 3
6 25
7 30
8 9
9 8
10 21
11 45
12
A Bayesian hierarchical model with spatial variable selection: the effect of weather on insurance claims. Derivation of distributions and MCMC sampling schemes
2
13 5
14 9
15 45
16 196

About Egil Ferkingstad

Egil Ferkingstad is a scholar working on Statistics and Probability, Geriatrics and Gerontology and Biophysics, having authored 16 papers that have together received 442 indexed citations. Recurring topics across this work include Gene expression and cancer classification (5 papers), Genomics and Chromatin Dynamics (5 papers) and Statistical Methods and Bayesian Inference (3 papers). The work is most often cited by research in Statistics and Probability (183 citations), Management Science and Operations Research (55 citations) and General Energy (3 citations). Egil Ferkingstad has collaborated with scholars based in Norway, Iceland and United States. Frequent co-authors include Bo Henry Lindqvist, Mette Langaas, Anders Løland, Håvard Rue, Geir Kjetil Sandve, Ørnulf Borgan, Odd O. Aalen, Arnoldo Frigessi, Ståle Nygård and Lars Holden. Their work appears in journals such as Bioinformatics, PLoS ONE and NeuroImage.

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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