Arjen Siegmann

422 citations
37 papers · 233 · h-index 9

Impact in

  • Finance top 10%
    • Financial Markets and Investment Strategies
    • Stochastic processes and financial applications
  • Accounting top 10%
    • Financial Literacy, Pension, Retirement Analysis

Papers in

    • Housing Market and Economics 7
    • Market Dynamics and Volatility 6
    • Economic theories and models 5
    • Financial Markets and Investment Strategies 13
    • Banking stability, regulation, efficiency 7

Arjen Siegmann

31 papers receiving 217 citations

Peers

Arjen Siegmann
Comparison fields: 5 of 46
  • Finance 82
  • Accounting 65
  • General Decision Sciences 8
  • Demography 50
  • Economics and Econometrics 113
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Júlio Lob�ão Portugal
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Citations per field
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Citations per year

Countries citing papers authored by Arjen Siegmann

Since Specialization
Citations

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

Fields of papers citing papers by Arjen Siegmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 12 scholars most cited alongside Arjen Siegmann, 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 Arjen Siegmann Line = papers co-authored together Arjen Siegmann links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200863
2 201832
3 200515
4 200212
5 201010
6 20169
7
Palmnet: A pension asset and liability model for the Netherlands
20048
8 20178
9 20078
10
Continuous-time dynamic programming for ALM with Risk averse loss functions
19997
11 20047
12 20117
13 20025
14 20134
15 20163
16 20033
17 20133
18 20083
19 20123
20 20013

About Arjen Siegmann

Arjen Siegmann is a scholar working on Economics and Econometrics, Finance, Accounting, Demography and Management Science and Operations Research, having authored 37 papers that have together received 233 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (13 papers), Financial Literacy, Pension, Retirement Analysis (11 papers), Housing Market and Economics (7 papers), Insurance, Mortality, Demography, Risk Management (7 papers), Banking stability, regulation, efficiency (7 papers), Market Dynamics and Volatility (6 papers), Economic theories and models (5 papers) and Corporate Finance and Governance (5 papers). The work is most often cited by research in Finance (82 citations), Accounting (65 citations), General Decision Sciences (8 citations), Demography (50 citations) and Economics and Econometrics (113 citations). Arjen Siegmann has collaborated with scholars based in Netherlands, Luxembourg and Sweden. Frequent co-authors include André Lucas, Aico van Vuuren, Pieter A. Gautier, Jaap Gordijn, Peter Vlaar, Maarten van Rooij, M.C.J. van Rooij, Dirk Schoenmaker, Roman Kräussl and Marno Verbeek. Their work appears in journals such as Journal of Empirical Finance, Journal of Banking & Finance, Electronic Markets, Operations Research and Journal of Business Finance & Accounting.

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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