David Leinweber
Impact in
- Finance top 5%
- Financial Markets and Investment Strategies
-
- Stock Market Forecasting Methods
Papers in
- Finance 9
- Financial Markets and Investment Strategies 6
- Financial Risk and Volatility Modeling 4
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- Stock Market Forecasting Methods 6
- Co-authors
- Ananth Madhavan (1 shared paper)Oliver Rübel (3 shared papers)Kesheng John Wu (3 shared papers)E. Wes Bethel (2 shared papers)Robert D. mname Arnott (1 shared paper)Ming Gu (1 shared paper)John Weir Perry (1 shared paper)E. Wes Bethel (1 shared paper)
- Journals
- The Journal of Portfolio Management (4 papers)Intelligent systems in accounting, finance and management (1 paper)The Journal of Investing (6 papers)AIMR Conference Proceedings (1 paper)CaltechAUTHORS (California Institute of Technology) (1 paper)
- Partner nations
- United States
In The Last Decade
David Leinweber
21 papers receiving 306 citations
Peers
Comparison fields: 5 of 79
- Finance 118
- Management Science and Operations Research 92
- Management Information Systems 41
- Accounting 41
- Economics and Econometrics 92
Countries citing papers authored by David Leinweber
This map shows the geographic impact of David Leinweber'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 Leinweber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Leinweber more than expected).
Fields of papers citing papers by David Leinweber
This network shows the impact of papers produced by David Leinweber. 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 Leinweber. The network helps show where David Leinweber may publish in the future.
Co-authors
The 13 scholars most cited alongside David Leinweber, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 73 | |
| 2 | Stupid Data Miner Tricks: Overfitting the S&P 500 | 2007 | 50 |
| 3 | 2011 | 47 | |
| 4 | Expert systems in space | 1987 | 33 |
| 5 | 2001 | 27 | |
| 6 | 1988 | 24 | |
| 7 | 2013 | 19 | |
| 8 | 1995 | 14 | |
| 9 | 1995 | 14 | |
| 10 | 2012 | 13 | |
| 11 | 1996 | 5 | |
| 12 | 2011 | 4 | |
| 13 | 2017 | 3 | |
| 14 | 2001 | 2 | |
| 15 | Electron Temperature Estimate in C-2 FRC Using Neural Network | 2013 | 2 |
| 16 | 1987 | 2 | |
| 17 | 2005 | 2 | |
| 18 | 2003 | 2 | |
| 19 | 1994 | 2 | |
| 20 | Using Internet Information in Transaction Cost Control | 2001 | 1 |
About David Leinweber
David Leinweber is a scholar working on Finance, Management Science and Operations Research, Economics and Econometrics, Management Information Systems and Artificial Intelligence, having authored 24 papers that have together received 342 indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (7 papers), Stock Market Forecasting Methods (6 papers), Financial Markets and Investment Strategies (6 papers), AI-based Problem Solving and Planning (4 papers), Financial Risk and Volatility Modeling (4 papers), Reservoir Engineering and Simulation Methods (2 papers), Space Exploration and Technology (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Finance (118 citations), Management Science and Operations Research (92 citations), Management Information Systems (41 citations), Accounting (41 citations) and Economics and Econometrics (92 citations). David Leinweber has collaborated with scholars based in United States. Frequent co-authors include Ananth Madhavan, Oliver Rübel, Kesheng John Wu, E. Wes Bethel, Robert D. mname Arnott, Ming Gu, John Weir Perry, E. Wes Bethel, Marcos López de Prado and S. Aefsky. Their work appears in journals such as The Journal of Portfolio Management, Intelligent systems in accounting, finance and management, The Journal of Investing, AIMR Conference Proceedings and CaltechAUTHORS (California Institute of Technology).
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.