Egil Ferkingstad

4.2k total citations
16 papers, 442 citations indexed

About

Egil Ferkingstad is a scholar working on Molecular Biology, Statistics and Probability and Artificial Intelligence. According to data from OpenAlex, Egil Ferkingstad has authored 16 papers receiving a total of 442 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Statistics and Probability and 3 papers in Artificial Intelligence. Recurrent topics in Egil Ferkingstad's work include Gene expression and cancer classification (5 papers), Genomics and Chromatin Dynamics (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Egil Ferkingstad is often cited by papers focused on Gene expression and cancer classification (5 papers), Genomics and Chromatin Dynamics (5 papers) and Statistical Methods and Bayesian Inference (3 papers). Egil Ferkingstad collaborates with scholars based in Norway, Iceland and United States. Egil Ferkingstad's 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 and has published in prestigious journals such as Bioinformatics, PLoS ONE and NeuroImage.

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 Minjung Kyung with:
Minjung Kyung South Korea
Shunpu Zhang United States
Nikolay Robinzonov Germany
Monica Chiogna Italy
Nalan Baştürk Netherlands
Ryan Gill United States
Loukia Meligkotsidou Greece
Anders Løland Norway
Minjung Kyung South Korea View profile →
Citations per field, relative to Egil Ferkingstad
Egil Ferkingstad · 1×
Citations per year, relative to Egil Ferkingstad
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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
# Work Indexed 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

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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