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Researcher · University of Warsaw · Poland

Robert Ślepaczuk

Robert Ślepaczuk publishes mostly in Finance, Management Science and Operations Research and Economics and Econometrics, on topics such as Stock Market Forecasting Methods, Financial Markets and Investment Strategies and Market Dynamics and Volatility.

ORCID 0000-0001-5227-2014 OpenAlex
World rank
#824,654
of 7,710,434 ranked researchers
Rank in Poland
#5,230
of 100,960
Works
114
Citations
609
Citations per work
5.3
h-index
13
i10-index 17Top 28% in Finance
Robert Ślepaczuk

What does Robert Ślepaczuk research?

Robert Ślepaczuk's work is mostly in Economics, Econometrics and Finance (62%), Decision Sciences (19%), Engineering (4%).

Social Sciences: 95 works · 83.4% of their workEconomics, Econometrics and Finance: 70 works · 61.8% of their workFinance: 48 works · 42.5% of their workEconomics and Econometrics: 22 works · 19.3% of their workDecision Sciences: 22 works · 19.3% of their workManagement Science and Operations Research: 22 works · 19.3% of their workBusiness, Management and Accounting: 3 works · 2.3% of their workStrategy and Management: 3 works · 2.3% of their workEverything else: 11 works · 9.6% of their workPhysical Sciences: 8 works · 7.0% of their workEngineering: 5 works · 4.0% of their workElectrical and Electronic Engineering: 5 works · 4.0% of their workComputer Science: 3 works · 3.0% of their workInformation Systems: 3 works · 3.0% of their workTHEIR WORKRobert Ślepaczuk114works
Physical Sciences7%Social Sciences83%

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 Finance7061.8%
    2. Decision Sciences2219.3%
    3. Business, Management and Accounting32.3%
  2. Everything else119.6%
    1. Engineering54.0%
    2. Computer Science33.0%
  1. 1Finance42% of their works
  2. 2Management Science and Operations Research19% of their works
  3. 3Economics and Econometrics19% of their works
  4. 4Electrical and Electronic Engineering4% of their works
  5. 5Information Systems3% of their works
  6. 6Strategy and Management2% of their works

Research topics

Which keywords describe Robert Ślepaczuk's research?

The keywords of their largest research topics: Deep Learning, Neural Networks, Stock Market Prediction, Time Series Forecasting, Asset Pricing, Stock Returns, Economic Policy Uncertainty and Oil Price Shocks.

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.

All 18 words, with their numbers
  1. Deep Learning562 topics
  2. Neural Networks562 topics
  3. Stock Market Prediction461 topic
  4. Time Series Forecasting461 topic
  5. Asset Pricing441 topic
  6. Stock Returns441 topic
  7. Economic Policy Uncertainty371 topic
  8. Oil Price Shocks371 topic
  9. GARCH Models361 topic
  10. Volatility361 topic
  11. Option Pricing301 topic
  12. Stochastic Calculus301 topic
  13. Econophysics151 topic
  14. Multifractal Analysis151 topic
  15. Electricity Price Forecasting101 topic
  16. Load Forecasting101 topic
  17. Blockchain91 topic
  18. Internet of Things91 topic

Where does Robert Ślepaczuk work?

Robert Ślepaczuk's main affiliation in the publication record is University of Warsaw, Poland.

How many publications and citations does Robert Ślepaczuk have?

OpenAlex counts 114 works and 609 citations for Robert Ślepaczuk, an h-index of 13, ranking #824,654 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised 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 Robert Ślepaczuk

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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