Paul Bilokon
Impact in
-
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Finance top 10%
- Financial Markets and Investment Strategies
- Stochastic processes and financial applications
Papers in
-
- Computational Physics and Python Applications 2
- Neural Networks and Applications 2
-
- Stock Market Forecasting Methods 5
- Co-authors
- Igor Halperin (2 shared papers)Matthew Dixon (2 shared papers)Yitao Qiu (1 shared paper)Abbas Edalat (2 shared papers)Antoine Jacquier (1 shared paper)Arthur Gervais (1 shared paper)Jan Novotný (1 shared paper)Alexandre Abraham (1 shared paper)
- Journals
- Theoretical Computer Science (1 paper)Informatics in Medicine Unlocked (1 paper)SSRN Electronic Journal (12 papers)WORLD SCIENTIFIC eBooks (1 paper)CERN Document Server (European Organization for Nuclear Research) (1 paper)
- Partner nations
- United KingdomPortugalUnited States
In The Last Decade
Paul Bilokon
14 papers receiving 179 citations
Peers
Comparison fields: 5 of 60
- Management Science and Operations Research 61
- Finance 44
- Health Informatics 4
- Economics and Econometrics 45
- Artificial Intelligence 53
Countries citing papers authored by Paul Bilokon
This map shows the geographic impact of Paul Bilokon'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 Paul Bilokon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul Bilokon more than expected).
Fields of papers citing papers by Paul Bilokon
This network shows the impact of papers produced by Paul Bilokon. 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 Paul Bilokon. The network helps show where Paul Bilokon may publish in the future.
Co-authors
The 12 scholars most cited alongside Paul Bilokon, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 142 | |
| 2 | 2023 | 17 | |
| 3 | 2020 | 6 | |
| 4 | 2023 | 3 | |
| 5 | 2019 | 3 | |
| 6 | 2024 | 2 | |
| 7 | 2017 | 2 | |
| 8 | 2021 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 1 | |
| 12 | 2014 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | 2024 | 0 | |
| 16 | 2023 | 0 | |
| 17 | 2024 | 0 | |
| 18 | 2024 | 0 | |
| 19 | 2019 | 0 | |
| 20 | 2023 | 0 |
About Paul Bilokon
Paul Bilokon is a scholar working on Artificial Intelligence, Management Science and Operations Research, Finance, Computational Theory and Mathematics and Economics and Econometrics, having authored 21 papers that have together received 183 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (5 papers), Cellular Automata and Applications (2 papers), Computational Physics and Python Applications (2 papers), Neural Networks and Applications (2 papers), Financial Markets and Investment Strategies (2 papers), Computability, Logic, AI Algorithms (2 papers), Time Series Analysis and Forecasting (2 papers) and Complex Systems and Time Series Analysis (2 papers). The work is most often cited by research in Management Science and Operations Research (61 citations), Finance (44 citations), Health Informatics (4 citations), Economics and Econometrics (45 citations) and Artificial Intelligence (53 citations). Paul Bilokon has collaborated with scholars based in United Kingdom, Portugal and United States. Frequent co-authors include Igor Halperin, Matthew Dixon, Yitao Qiu, Abbas Edalat, Antoine Jacquier, Arthur Gervais, Jan Novotný, Alexandre Abraham, Tejas Shah and Justin Barton. Their work appears in journals such as Theoretical Computer Science, Informatics in Medicine Unlocked, SSRN Electronic Journal, WORLD SCIENTIFIC eBooks and CERN Document Server (European Organization for Nuclear Research).
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.