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Researcher · TU Wien · Austria

Julia Eisenberg

Julia Eisenberg publishes mostly in Finance, Management Science and Operations Research and Demography, on topics such as Insurance, Mortality, Demography, Risk Management, Probability and Risk Models and Stochastic processes and financial applications.

ORCID 0000-0002-6995-6743 OpenAlex
World rank
#4,979,572
of 7,710,434 ranked researchers
Rank in Austria
#30,683
of 43,330
Works
45
Citations
208
Citations per work
4.6
h-index
6
i10-index 6Top 71% in Finance
Julia Eisenberg

What does Julia Eisenberg research?

Julia Eisenberg's work is mostly in Economics, Econometrics and Finance (39%), Decision Sciences (20%), Social Sciences (20%).

Social Sciences: 38 works · 85.5% of their workEconomics, Econometrics and Finance: 18 works · 39.1% of their workFinance: 9 works · 21.0% of their workEconomics and Econometrics: 8 works · 18.1% of their workDecision Sciences: 9 works · 20.3% of their workManagement Science and Operations Research: 9 works · 20.3% of their workSocial Sciences: 9 works · 20.3% of their workDemography: 9 works · 20.3% of their workBusiness, Management and Accounting: 3 works · 5.8% of their workAccounting: 3 works · 5.8% of their workEverything else: 5 works · 11.6% of their workPhysical Sciences: 1 works · 2.9% of their workMathematics: 1 works · 2.9% of their workModeling and Simulation: 1 works · 2.9% of their workTHEIR WORKJulia Eisenberg45works
Physical Sciences3%Social Sciences86%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Economics, Econometrics and Finance1839.1%
    2. Decision Sciences920.3%
    3. Social Sciences920.3%
    4. Business, Management and Accounting35.8%
  2. Everything else511.6%
    1. Mathematics12.9%
  1. 1Finance21% of their works
  2. 2Management Science and Operations Research20% of their works
  3. 3Demography20% of their works
  4. 4Economics and Econometrics18% of their works
  5. 5Accounting6% of their works
  6. 6Modeling and Simulation3% of their works

Research topics

Which keywords describe Julia Eisenberg's research?

The keywords of their largest research topics: Insurance, Mortality Forecasting, Population Ageing, Dividend, Risk, Option Pricing, Stochastic Calculus and Economic Growth.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most. The words come from the keyword list OpenAlex gives each topic, not from the text of the papers, so a word can appear that none of the papers uses.

All 20 words, with their numbers
  1. Insurance352 topics
  2. Mortality Forecasting281 topic
  3. Population Ageing281 topic
  4. Dividend231 topic
  5. Risk231 topic
  6. Option Pricing221 topic
  7. Stochastic Calculus221 topic
  8. Economic Growth182 topics
  9. Consumer Behavior132 topics
  10. Catastrophe Bonds121 topic
  11. Risk Management121 topic
  12. COVID-19102 topics
  13. Financial Literacy71 topic
  14. Retirement Planning71 topic
  15. Asset Pricing61 topic
  16. Financial Markets61 topic
  17. Monetary Equilibrium61 topic
  18. Pandemic61 topic
  19. Modeling41 topic
  20. transmission dynamics41 topic

Where does Julia Eisenberg work?

Julia Eisenberg's main affiliation in the publication record is TU Wien, Austria.

How many publications and citations does Julia Eisenberg have?

OpenAlex counts 45 works and 208 citations for Julia Eisenberg, an h-index of 6, ranking #4,979,572 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised citation excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Other researchers named Julia Eisenberg

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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