William E. Leigh
Impact in
-
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Finance top 5%
- Financial Markets and Investment Strategies
Papers in
-
- Stock Market Forecasting Methods 9
- Forecasting Techniques and Applications 3
- Finance 7
- Financial Markets and Investment Strategies 7
- Co-authors
- Russell L. Purvis (8 shared papers)Mario Paz (8 shared papers)James M. Ragusa (1 shared paper)Tom Roberts (4 shared papers)Gordon E. McCray (1 shared paper)Ross Hightower (2 shared papers)Michael E. Doherty (1 shared paper)Michael A. Meador (1 shared paper)
- Journals
- Structural Dynamics (4 papers)Computers & Industrial Engineering (4 papers)Expert Systems with Applications (3 papers)Decision Support Systems (2 papers)Information Technology and Libraries (2 papers)
- Partner nations
- United StatesLatviaSwitzerland
In The Last Decade
William E. Leigh
31 papers receiving 902 citations
Peers
Comparison fields: 5 of 101
- Management Science and Operations Research 468
- Finance 155
- Management Information Systems 128
- Medical Laboratory Technology 15
- Signal Processing 117
Countries citing papers authored by William E. Leigh
This map shows the geographic impact of William E. Leigh'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 William E. Leigh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William E. Leigh more than expected).
Fields of papers citing papers by William E. Leigh
This network shows the impact of papers produced by William E. Leigh. 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 William E. Leigh. The network helps show where William E. Leigh may publish in the future.
Co-authors
The 17 scholars most cited alongside William E. Leigh, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 220 | |
| 2 | 2003 | 130 | |
| 3 | 2004 | 123 | |
| 4 | 2002 | 97 | |
| 5 | 1994 | 79 | |
| 6 | 2002 | 50 | |
| 7 | 2004 | 50 | |
| 8 | 2003 | 49 | |
| 9 | 2002 | 35 | |
| 10 | 2007 | 31 | |
| 11 | Decision support and expert systems | 1986 | 30 |
| 12 | 1985 | 22 | |
| 13 | 2001 | 11 | |
| 14 | 2001 | 10 | |
| 15 | 2001 | 9 | |
| 16 | 2001 | 8 | |
| 17 | Distributed intelligence: Trade-offs and decisions for computer information systems | 1987 | 6 |
| 18 | 2000 | 6 | |
| 19 | 1994 | 4 | |
| 20 | 2004 | 3 |
About William E. Leigh
William E. Leigh is a scholar working on Management Science and Operations Research, Finance, Economics and Econometrics, Management Information Systems and Artificial Intelligence, having authored 40 papers that have together received 987 indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (9 papers), Financial Markets and Investment Strategies (7 papers), Complex Systems and Time Series Analysis (6 papers), Semantic Web and Ontologies (3 papers), Forecasting Techniques and Applications (3 papers), Advanced Database Systems and Queries (3 papers), AI-based Problem Solving and Planning (2 papers) and ERP Systems Implementation and Impact (2 papers). The work is most often cited by research in Management Science and Operations Research (468 citations), Finance (155 citations), Management Information Systems (128 citations), Medical Laboratory Technology (15 citations) and Signal Processing (117 citations). William E. Leigh has collaborated with scholars based in United States, Latvia and Switzerland. Frequent co-authors include Russell L. Purvis, Mario Paz, James M. Ragusa, Tom Roberts, Gordon E. McCray, Ross Hightower, Michael E. Doherty, Michael A. Meador, J. C. Scaiano and Peter John Wagner. Their work appears in journals such as Structural Dynamics, Computers & Industrial Engineering, Expert Systems with Applications, Decision Support Systems and Information Technology and Libraries.
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.