Nicole Bäuerle

2.7k citations
83 papers · 1.7k indexed · h-index 21

Nicole Bäuerle

79 papers receiving 1.6k citations

Peers

Nicole Bäuerle
Comparison fields: 5 of 90
  • Finance 799
  • Management Science and Operations Research 899
  • Demography 418
  • Statistics and Probability 249
  • General Decision Sciences 48
Replace Andrew E. B. Lim with:
Andrew E. B. Lim United States
Ulrich Rieder Germany
José Blanchet United States
Xin Guo United States
Damir Filipović Switzerland
Alois Pichler Norway
William S. Jewell United States
Stefan Weber Germany
Alexei A. Gaivoronski Norway
Ed McKenzie United Kingdom
Nicole Bäuerle relative to Andrew E. B. Lim United States Andrew E. B. Lim's profile →
Citations per field
00.5×4.2×
Andrew E. B. Lim · 1×
Citations per year

Countries citing papers authored by Nicole Bäuerle

Since Specialization
Citations

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

Fields of papers citing papers by Nicole Bäuerle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Nicole Bäuerle, 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 Nicole Bäuerle Line = papers co-authored together Nicole Bäuerle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20250
3 202415
4 20242
5 20243
6 20248
7 20240
8 20237
9 20221
10 20224
11 20203
12
Risk Management with Tail Conditional Certainty Equivalents
20191
13 20185
14 201630
15 20071
16 200718
17 200221
18 20011
19 20016
20 19980

About Nicole Bäuerle

Nicole Bäuerle is a scholar working on Finance, Management Science and Operations Research and Demography, having authored 83 papers that have together received 1.7k indexed citations. Recurring topics across this work include Stochastic processes and financial applications (41 papers), Insurance, Mortality, Demography, Risk Management (26 papers), Probability and Risk Models (23 papers), Risk and Portfolio Optimization (22 papers), Advanced Queuing Theory Analysis (14 papers), Economic theories and models (14 papers), Financial Markets and Investment Strategies (10 papers) and Insurance and Financial Risk Management (7 papers). The work is most often cited by research in Finance (799 citations), Management Science and Operations Research (899 citations) and Demography (418 citations). Nicole Bäuerle has collaborated with scholars based in Germany, Poland and Switzerland. Frequent co-authors include Ulrich Rieder, Alfred Müller, Rudolf Grübel, Anna Jaśkiewicz, Tomasz Rolski, Michael Kolonko, Hansjörg Albrecher, Erhan Bayraktar, Stefan Thonhauser and Luitgard Anna Maria Veraart. Their work appears in journals such as Journal of the American Statistical Association, IEEE Transactions on Automatic Control and Automatica.

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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