Jan Grandell

2.4k citations
38 papers · 1.5k indexed · h-index 15
Topics
Probability and Risk Models (19 papers)Stochastic processes and financial applications (9 papers)Insurance, Mortality, Demography, Risk Management (7 papers)
Partner nations
SwedenGermanyCanada

In The Last Decade

Jan Grandell

38 papers receiving 1.3k citations

Peers

Jan Grandell
Comparison fields: 5 of 107
  • Management Science and Operations Research 802
  • Finance 536
  • Demography 456
  • Statistics and Probability 349
  • Economics and Econometrics 283
Replace Rolf–Dieter Reiss with:
Rolf–Dieter Reiss Germany
Stuart A. Klugman United States
A. A. Balkema Netherlands
François Dufour France
Jie Xiong China
Bruno Rémillard Canada
Fred Espen Benth Norway
Masaaki Sibuya Japan
Johanna Nešlehová Canada
Haijun Li China
Jan Grandell relative to Rolf–Dieter Reiss Germany Rolf–Dieter Reiss's profile →
Citations per field
00.5×5.2×
Rolf–Dieter Reiss · 1×
Citations per year

Countries citing papers authored by Jan Grandell

Since Specialization
Citations

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

Fields of papers citing papers by Jan Grandell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jan Grandell

This figure shows the co-authorship network connecting the top 25 collaborators of Jan Grandell. A scholar is included among the top collaborators of Jan Grandell 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 Jan Grandell. Jan Grandell 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 1
2 3
3 253
4 12
5 466
6 55
7 4
8 6
9 1
10 38
11 13
12 18
13 20
14 4
15 61
16 63
17 3
18 3
19 2
20 2

About Jan Grandell

Jan Grandell is a scholar working on Management Science and Operations Research, Finance and Statistics and Probability, having authored 38 papers that have together received 1.5k indexed citations. Recurring topics across this work include Probability and Risk Models (19 papers), Stochastic processes and financial applications (9 papers) and Insurance, Mortality, Demography, Risk Management (7 papers). The work is most often cited by research in Management Science and Operations Research (802 citations), Finance (536 citations) and Statistics and Probability (349 citations). Jan Grandell has collaborated with scholars based in Sweden, Germany and Canada. Frequent co-authors include Henning Rodhe, Tomas Björk, Hanspeter Schmidli, Paul Embrechts, Mats Hamrud, J. Peetre and Lennart Bondesson. Their work appears in journals such as IEEE Transactions on Information Theory, Journal of the Atmospheric Sciences and Lecture notes in mathematics.

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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