Nicolas Huck
Impact in
- Finance top 2%
- 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 11
- Financial Markets and Investment Strategies 6
- Financial Risk and Volatility Modeling 3
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- Complex Systems and Time Series Analysis 7
- Housing Market and Economics 3
- Market Dynamics and Volatility 3
- Economic theories and models 2
- Co-authors
- Christopher Krauß (1 shared paper)Olivier Mesly (6 shared papers)Marina Dabić (4 shared papers)Timothy Scott Kiessling (2 shared papers)Dominique Guégan (1 shared paper)Jane Frances Maley (2 shared papers)François‐Éric Racicot (1 shared paper)Stanko Dimitrov (1 shared paper)
In The Last Decade
Nicolas Huck
17 papers receiving 818 citations
Nicolas Huck's Hit Papers
Peers
Comparison fields: 5 of 101
- Finance 409
- Management Science and Operations Research 494
- Economics and Econometrics 401
- Accounting 62
- General Economics, Econometrics and Finance 42
Countries citing papers authored by Nicolas Huck
This map shows the geographic impact of Nicolas Huck'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 Nicolas Huck with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nicolas Huck more than expected).
Fields of papers citing papers by Nicolas Huck
This network shows the impact of papers produced by Nicolas Huck. 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 Nicolas Huck. The network helps show where Nicolas Huck may publish in the future.
Co-authors
The 11 scholars most cited alongside Nicolas Huck, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500 Hit paper breakdown → | 2016 | 433 |
| 2 | 2008 | 96 | |
| 3 | 2010 | 93 | |
| 4 | 2019 | 80 | |
| 5 | 2014 | 54 | |
| 6 | 2015 | 20 | |
| 7 | 2013 | 17 | |
| 8 | 2019 | 11 | |
| 9 | 2024 | 10 | |
| 10 | 2020 | 7 | |
| 11 | 2023 | 6 | |
| 12 | 2005 | 5 | |
| 13 | 2023 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2021 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2022 | 2 | |
| 18 | 2023 | 1 | |
| 19 | 2022 | 1 |
About Nicolas Huck
Nicolas Huck is a scholar working on Finance, Economics and Econometrics, Management Science and Operations Research, Strategy and Management and General Economics, Econometrics and Finance, having authored 19 papers that have together received 850 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (7 papers), Financial Markets and Investment Strategies (6 papers), Stock Market Forecasting Methods (4 papers), Housing Market and Economics (3 papers), Financial Risk and Volatility Modeling (3 papers), Market Dynamics and Volatility (3 papers), Economic theories and models (2 papers) and Business Strategy and Innovation (2 papers). The work is most often cited by research in Finance (409 citations), Management Science and Operations Research (494 citations), Economics and Econometrics (401 citations), Accounting (62 citations) and General Economics, Econometrics and Finance (42 citations). Nicolas Huck has collaborated with scholars based in France, Croatia and Slovenia. Frequent co-authors include Christopher Krauß, Olivier Mesly, Marina Dabić, Timothy Scott Kiessling, Dominique Guégan, Jane Frances Maley, François‐Éric Racicot, Stanko Dimitrov, Dirk Meissner and Régis Y. Chenavaz. Their work appears in journals such as European Journal of Operational Research, IEEE Transactions on Engineering Management, International Journal of Consumer Studies, Journal of Small Business Management and Creativity and Innovation Management.
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.