Peter Grandits

705 citations
39 papers · 376 · h-index 10

Impact in

Papers in

Peter Grandits

31 papers receiving 349 citations

Peers

Peter Grandits
Comparison fields: 5 of 36
  • Finance 280
  • Management Science and Operations Research 240
  • Demography 176
  • Economics and Econometrics 130
  • Modeling and Simulation 20
Replace Martino Grasselli with:
Martino Grasselli Italy
Stefan Ankirchner Germany
Yoshio Miyahara Japan
Claude Martini France
K. C. J. Sung Hong Kong
Weidong Tian United States
Arnon Levy United States
H. Windcliff Canada
Ulrich G. Haussmann Canada
Christophe Stricker France
Peter Grandits relative to Martino Grasselli Italy Martino Grasselli's profile →
Citations per field
00.5×2.9×
Martino Grasselli · 1×
Citations per year

Countries citing papers authored by Peter Grandits

Since Specialization
Citations

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

Fields of papers citing papers by Peter Grandits

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 9 scholars most cited alongside Peter Grandits, 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 Peter Grandits Line = papers co-authored together Peter Grandits links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200278
2 200371
3 200231
4 199924
5 200423
6 200717
7 201917
8 200115
9 200014
10 200010
11 20029
12 20157
13 20186
14 20086
15 20126
16 20046
17 20046
18 19995
19 20134
20 20193

About Peter Grandits

Peter Grandits is a scholar working on Finance, Management Science and Operations Research, Demography, Mathematical Physics and Economics and Econometrics, having authored 39 papers that have together received 376 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (25 papers), Probability and Risk Models (16 papers), Insurance, Mortality, Demography, Risk Management (13 papers), Financial Risk and Volatility Modeling (7 papers), Risk and Portfolio Optimization (6 papers), Stochastic processes and statistical mechanics (5 papers), Advanced Queuing Theory Analysis (2 papers) and Mathematical Biology Tumor Growth (2 papers). The work is most often cited by research in Finance (280 citations), Management Science and Operations Research (240 citations), Demography (176 citations), Economics and Econometrics (130 citations) and Modeling and Simulation (20 citations). Peter Grandits has collaborated with scholars based in Austria, Switzerland and United States. Frequent co-authors include Thorsten Rheinländer, Walter Schachermayer, Werner Schachinger, Vladimir M. Veliov, Friedrich Hubalek, Martin Schweizer, Freddy Delbaen, Christophe Stricker and Stefan Thonhauser. Their work appears in journals such as Scandinavian Actuarial Journal, Applied Mathematics & Optimization, Bernoulli, Mathematical Finance and Insurance Mathematics and Economics.

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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