Fred Collopy
Impact in
-
- Forecasting Techniques and Applications
- Stock Market Forecasting Methods
- General Decision Sciences top 5%
- Decision-Making and Behavioral Economics
Papers in
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- Forecasting Techniques and Applications 22
- Stock Market Forecasting Methods 17
-
- Big Data and Business Intelligence 3
- Co-authors
- J. Scott Armstrong (21 shared papers)Monica Adya (12 shared papers)Richard J. Boland (5 shared papers)Michael Lawrence (2 shared papers)William R. Foster (1 shared paper)Lyle Ungar (1 shared paper)George Wright (1 shared paper)Matt Germonprez (1 shared paper)
- Journals
- International Journal of Forecasting (14 papers)Journal of Forecasting (4 papers)Leonardo (2 papers)Management Science (2 papers)Information Systems Research (2 papers)
- Partner nations
- United StatesUnited KingdomLatvia
In The Last Decade
Fred Collopy
47 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 148
- Management Science and Operations Research 946
- General Decision Sciences 126
- Marketing 189
- Management Information Systems 170
- Management of Technology and Innovation 120
Countries citing papers authored by Fred Collopy
This map shows the geographic impact of Fred Collopy'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 Fred Collopy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fred Collopy more than expected).
Fields of papers citing papers by Fred Collopy
This network shows the impact of papers produced by Fred Collopy. 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 Fred Collopy. The network helps show where Fred Collopy may publish in the future.
Co-authors
The 22 scholars most cited alongside Fred Collopy, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 369 | |
| 2 | 1995 | 271 | |
| 3 | 1996 | 258 | |
| 4 | Rule-based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations | 2007 | 138 |
| 5 | 1996 | 122 | |
| 6 | 1996 | 109 | |
| 7 | 1992 | 109 | |
| 8 | 2007 | 108 | |
| 9 | 1996 | 108 | |
| 10 | 2007 | 105 | |
| 11 | 2001 | 77 | |
| 12 | 2010 | 76 | |
| 13 | Integration of statistical methods and judgment for time series forecasting: principles from empirical research | 1998 | 70 |
| 14 | 1998 | 66 | |
| 15 | 1992 | 50 | |
| 16 | 2001 | 47 | |
| 17 | 1994 | 34 | |
| 18 | 2001 | 30 | |
| 19 | 2004 | 30 | |
| 20 | 1992 | 28 |
About Fred Collopy
Fred Collopy is a scholar working on Management Science and Operations Research, Management Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 53 papers that have together received 2.4k indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (22 papers), Stock Market Forecasting Methods (17 papers), Energy Load and Power Forecasting (4 papers), Big Data and Business Intelligence (3 papers), Design Education and Practice (2 papers), Accounting Education and Careers (2 papers), Data Analysis with R (2 papers) and Music Technology and Sound Studies (2 papers). The work is most often cited by research in Management Science and Operations Research (946 citations), General Decision Sciences (126 citations), Marketing (189 citations), Management Information Systems (170 citations) and Management of Technology and Innovation (120 citations). Fred Collopy has collaborated with scholars based in United States, United Kingdom and Latvia. Frequent co-authors include J. Scott Armstrong, Monica Adya, Richard J. Boland, Michael Lawrence, William R. Foster, Lyle Ungar, George Wright, Matt Germonprez, Dirk S. Hovorka and Youngjin Yoo. Their work appears in journals such as International Journal of Forecasting, Journal of Forecasting, Leonardo, Management Science and Information Systems 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.