Lars Jaeger

656 citations
42 papers · 428 · h-index 11

Impact in

Papers in

Lars Jaeger

30 papers receiving 384 citations

Peers

Lars Jaeger
Comparison fields: 5 of 96
  • Finance 112
  • Statistical and Nonlinear Physics 100
  • Economics and Econometrics 133
  • Signal Processing 35
  • Artificial Intelligence 96
Replace Giuseppe Orlando with:
Giuseppe Orlando Italy
Heather Battey United Kingdom
Iacopo Mastromatteo France
S. Y. Novak United Kingdom
Stacy Williams United Kingdom
Mark McDonald United Kingdom
Daniel J. Fenn United States
Rudi Schäfer Germany
Chera L. Sayers United States
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Citations per field
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Citations per year

Countries citing papers authored by Lars Jaeger

Since Specialization
Citations

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

Fields of papers citing papers by Lars Jaeger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Lars Jaeger, 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 Lars Jaeger Line = papers co-authored together Lars Jaeger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201165
2 200563
3 201848
4 199744
5 199638
6 199927
7
Alternative Beta Strategies and Hedge Fund Replication
200818
8 199716
9 200214
10 199711
11 201910
12 201010
13
Managing risk in alternative investment strategies : successful investing in hedge funds and managed futures
200210
14 19979
15 19998
16 20108
17
The New Generation of Risk Management for Hedge Funds and Private Equity Investments
20047
18
Performance and Risk Measurement Challenges For Hedge Funds: Empirical Considerations
20034
19 20232
20 20242

About Lars Jaeger

Lars Jaeger is a scholar working on Economics and Econometrics, Statistical and Nonlinear Physics, Finance, Accounting and Computer Networks and Communications, having authored 42 papers that have together received 428 indexed citations. Recurring topics across this work include Chaos control and synchronization (6 papers), Financial Markets and Investment Strategies (4 papers), Market Dynamics and Volatility (3 papers), Complex Systems and Time Series Analysis (3 papers), Quantum chaos and dynamical systems (2 papers), Nonlinear Dynamics and Pattern Formation (2 papers), Insurance and Financial Risk Management (2 papers) and Mathematical Dynamics and Fractals (2 papers). The work is most often cited by research in Finance (112 citations), Statistical and Nonlinear Physics (100 citations), Economics and Econometrics (133 citations), Signal Processing (35 citations) and Artificial Intelligence (96 citations). Lars Jaeger has collaborated with scholars based in Germany, Sweden and United States. Frequent co-authors include Hölger Kantz, Christian Wagner, Anders Nordgaard, R. Ansell, Bert Allard, Rudolf Reuther, Stephan Müller, Michel M. Dacorogna, Rainer Hegger and Ralf‐Peter Kapsch. Their work appears in journals such as Physica D Nonlinear Phenomena, Chaos An Interdisciplinary Journal of Nonlinear Science, Law Probability and Risk, Physical Review Letters and Analytica Chimica Acta.

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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