Robert Ślepaczuk
Impact in
- Finance top 5%
- Financial Markets and Investment Strategies
- Financial Risk and Volatility Modeling
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
Papers in
- Finance 28
- Financial Markets and Investment Strategies 18
- Financial Risk and Volatility Modeling 16
- Stochastic processes and financial applications 13
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- Market Dynamics and Volatility 16
- Complex Systems and Time Series Analysis 7
- Co-authors
- P Rys (2 shared papers)Piotr Wójcik (6 shared papers)Wiktor Budziński (1 shared paper)Marek Giergiczny (1 shared paper)
- Journals
- Journal Of Big Data (2 papers)Physica A Statistical Mechanics and its Applications (2 papers)Journal of Computational Science (1 paper)Economic Modelling (1 paper)PLoS ONE (1 paper)
- Partner nations
- PolandUnited StatesAustralia
In The Last Decade
Robert Ślepaczuk
40 papers receiving 281 citations
Peers
Comparison fields: 5 of 49
- Finance 131
- Management Science and Operations Research 162
- Economics and Econometrics 149
- Information Systems 49
- General Economics, Econometrics and Finance 15
Countries citing papers authored by Robert Ślepaczuk
This map shows the geographic impact of Robert Ślepaczuk'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 Robert Ślepaczuk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Ślepaczuk more than expected).
Fields of papers citing papers by Robert Ślepaczuk
This network shows the impact of papers produced by Robert Ślepaczuk. 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 Robert Ślepaczuk. The network helps show where Robert Ślepaczuk may publish in the future.
Co-authors
The 4 scholars most cited alongside Robert Ślepaczuk, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 42 | |
| 2 | 2021 | 38 | |
| 3 | 2022 | 26 | |
| 4 | 2022 | 24 | |
| 5 | 2018 | 24 | |
| 6 | 2023 | 23 | |
| 7 | 2009 | 14 | |
| 8 | 2024 | 12 | |
| 9 | 2021 | 11 | |
| 10 | 2019 | 7 | |
| 11 | 2023 | 7 | |
| 12 | 2015 | 6 | |
| 13 | 2020 | 5 | |
| 14 | 2018 | 4 | |
| 15 | Anomalie rynku kapitałowego w świetle hipotezy efektywności rynku | 2006 | 4 |
| 16 | 2025 | 3 | |
| 17 | 2023 | 3 | |
| 18 | 2024 | 3 | |
| 19 | 2010 | 3 | |
| 20 | 2025 | 3 |
About Robert Ślepaczuk
Robert Ślepaczuk is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, Electrical and Electronic Engineering and Renewable Energy, Sustainability and the Environment, having authored 44 papers that have together received 291 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (18 papers), Market Dynamics and Volatility (16 papers), Financial Risk and Volatility Modeling (16 papers), Stock Market Forecasting Methods (15 papers), Stochastic processes and financial applications (13 papers), Complex Systems and Time Series Analysis (7 papers), Energy Load and Power Forecasting (5 papers) and Forecasting Techniques and Applications (4 papers). The work is most often cited by research in Finance (131 citations), Management Science and Operations Research (162 citations), Economics and Econometrics (149 citations), Information Systems (49 citations) and General Economics, Econometrics and Finance (15 citations). Robert Ślepaczuk has collaborated with scholars based in Poland, United States and Australia. Frequent co-authors include P Rys, Piotr Wójcik, Wiktor Budziński and Marek Giergiczny. Their work appears in journals such as Journal Of Big Data, Physica A Statistical Mechanics and its Applications, Journal of Computational Science, Economic Modelling and PLoS ONE.
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.