David Enke
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Finance top 2%
- Financial Markets and Investment Strategies
Papers in
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- Stock Market Forecasting Methods 45
- Forecasting Techniques and Applications 15
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- Complex Systems and Time Series Analysis 11
- Market Dynamics and Volatility 10
- Co-authors
- Suraphan Thawornwong (7 shared papers)Xiao Zhong (3 shared papers)Nijat Mehdiyev (9 shared papers)Ci̇han H. Dağli (21 shared papers)Peter Loos (3 shared papers)Peter Fettke (2 shared papers)Renzhong Wang (3 shared papers)Wen‐Chyuan Chiang (1 shared paper)
- Journals
- Expert Systems with Applications (8 papers)Financial Innovation (3 papers)Neurocomputing (3 papers)Engineering Applications of Artificial Intelligence (3 papers)The Engineering Economist (3 papers)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
David Enke
72 papers receiving 2.1k citations
David Enke's Hit Papers
Peers
Comparison fields: 5 of 120
- Management Science and Operations Research 1.6k
- Finance 519
- Economics and Econometrics 758
- Signal Processing 206
- Artificial Intelligence 493
Countries citing papers authored by David Enke
This map shows the geographic impact of David Enke'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 David Enke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Enke more than expected).
Fields of papers citing papers by David Enke
This network shows the impact of papers produced by David Enke. 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 David Enke. The network helps show where David Enke may publish in the future.
Co-authors
The 25 scholars most cited alongside David Enke, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 379 | |
| 2 | Forecasting daily stock market return using dimensionality reduction Hit paper breakdown → | 2016 | 302 |
| 3 | 2019 | 170 | |
| 4 | 2003 | 142 | |
| 5 | 2016 | 109 | |
| 6 | 2006 | 102 | |
| 7 | 2017 | 97 | |
| 8 | 2016 | 68 | |
| 9 | 2017 | 66 | |
| 10 | 2022 | 62 | |
| 11 | 2011 | 61 | |
| 12 | 2014 | 59 | |
| 13 | 2015 | 47 | |
| 14 | 2009 | 46 | |
| 15 | 2017 | 45 | |
| 16 | 2013 | 41 | |
| 17 | 2016 | 40 | |
| 18 | 2007 | 38 | |
| 19 | 2015 | 36 | |
| 20 | 2008 | 34 |
About David Enke
David Enke is a scholar working on Management Science and Operations Research, Economics and Econometrics, Finance, Artificial Intelligence and Electrical and Electronic Engineering, having authored 74 papers that have together received 2.3k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (45 papers), Forecasting Techniques and Applications (15 papers), Financial Markets and Investment Strategies (12 papers), Complex Systems and Time Series Analysis (11 papers), Market Dynamics and Volatility (10 papers), Energy Load and Power Forecasting (9 papers), Neural Networks and Applications (7 papers) and Manufacturing Process and Optimization (4 papers). The work is most often cited by research in Management Science and Operations Research (1.6k citations), Finance (519 citations), Economics and Econometrics (758 citations), Signal Processing (206 citations) and Artificial Intelligence (493 citations). David Enke has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Suraphan Thawornwong, Xiao Zhong, Nijat Mehdiyev, Ci̇han H. Dağli, Peter Loos, Peter Fettke, Renzhong Wang, Wen‐Chyuan Chiang, Tong Wu and Young‐Min Kim. Their work appears in journals such as Expert Systems with Applications, Financial Innovation, Neurocomputing, Engineering Applications of Artificial Intelligence and The Engineering Economist.
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.