Filip Lindskog

2.7k citations
32 papers · 819 indexed · h-index 14

Filip Lindskog

28 papers receiving 750 citations

Peers

Filip Lindskog
Comparison fields: 5 of 62
  • Finance 547
  • Management Science and Operations Research 297
  • Economics and Econometrics 216
  • Statistics and Probability 208
  • Demography 113
Replace Matthias Scherer with:
Matthias Scherer Germany
Ashkan Nikeghbali Switzerland
J. L. Teugels Belgium
Angelos Dassios United Kingdom
Manuel Úbeda-Flores Spain
Raluca Vernic Romania
Jaap Geluk Netherlands
Werner Hürlimann United States
William P. McCormick United States
Rüdiger Kiesel Germany
Filip Lindskog relative to Matthias Scherer Germany Matthias Scherer's profile →
Citations per field
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Citations per year

Countries citing papers authored by Filip Lindskog

Since Specialization
Citations

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

Fields of papers citing papers by Filip Lindskog

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Filip Lindskog

This figure shows the co-authorship network connecting the top 25 collaborators of Filip Lindskog. A scholar is included among the top collaborators of Filip Lindskog 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 Filip Lindskog. Filip Lindskog 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
#WorkIndexed citations
1 0
2 0
3 2
4 8
5 1
6 7
7 13
8 1
9 5
10 18
11 33
12 23
13 7
14 18
15
On Kesten's counterexample to the Cramér-Wold device for regular variation
10
16 84
17
Heavy-tailed insurance portfolios : buffer capital and ruin probabilities
9
18 56
19 142
20 47

About Filip Lindskog

Filip Lindskog is a scholar working on Finance, Management Science and Operations Research and Demography, having authored 32 papers that have together received 819 indexed citations. Recurring topics across this work include Probability and Risk Models (15 papers), Financial Risk and Volatility Modeling (11 papers) and Stochastic processes and financial applications (9 papers). The work is most often cited by research in Finance (547 citations), Statistics and Probability (208 citations) and Management Science and Operations Research (297 citations). Filip Lindskog has collaborated with scholars based in Sweden, Switzerland and United States. Frequent co-authors include Henrik Hult, Alexander J. McNeil, Mathias Lindholm, Jan Boman, Enrico G. De Giorgi, Lennart Söder, Magnus Perninge and Mario V. Wüthrich. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Power Systems and The Annals of Probability.

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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