Fred Collopy

3.4k total citations
46 papers, 1.9k citations indexed

About

Fred Collopy is a scholar working on Management Science and Operations Research, Management Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Fred Collopy has authored 46 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Management Science and Operations Research, 4 papers in Management Information Systems and 4 papers in Electrical and Electronic Engineering. Recurrent topics in Fred Collopy's work include Forecasting Techniques and Applications (20 papers), Stock Market Forecasting Methods (15 papers) and Energy Load and Power Forecasting (4 papers). Fred Collopy is often cited by papers focused on Forecasting Techniques and Applications (20 papers), Stock Market Forecasting Methods (15 papers) and Energy Load and Power Forecasting (4 papers). Fred Collopy collaborates with scholars based in United States, Latvia and Australia. Fred Collopy's co-authors include Monica Adya, J. Scott Armstrong, Lyle Ungar, William R. Foster, Dirk S. Hovorka, Matt Germonprez, Youngjin Yoo, Kalle Lyytinen, Richard J. Boland and Michael Lawrence and has published in prestigious journals such as Management Science, Journal of Marketing Research and Information Systems Research.

In The Last Decade

Fred Collopy

41 papers receiving 1.7k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fred Collopy 732 295 246 237 208 46 1.9k
Fang-Mei Tseng 790 1.1× 340 1.2× 369 1.5× 211 0.9× 301 1.4× 54 1.8k
William Remus 922 1.3× 467 1.6× 277 1.1× 279 1.2× 267 1.3× 65 2.2k
Emmanuel Sirimal Silva 498 0.7× 434 1.5× 333 1.4× 401 1.7× 142 0.7× 67 2.4k
Jari Porras 328 0.4× 154 0.5× 141 0.6× 232 1.0× 250 1.2× 113 2.0k
Marcus O’Connor 1.8k 2.4× 440 1.5× 482 2.0× 182 0.8× 317 1.5× 56 2.8k
Dimitris Askounis 619 0.8× 520 1.8× 137 0.6× 185 0.8× 487 2.3× 173 2.6k
John R. Beaumont 738 1.0× 331 1.1× 236 1.0× 195 0.8× 92 0.4× 77 2.6k
Stelios H. Zanakis 955 1.3× 452 1.5× 275 1.1× 128 0.5× 62 0.3× 51 2.7k
Xuedong Liang 322 0.4× 185 0.6× 293 1.2× 192 0.8× 333 1.6× 110 2.0k
Konstantinos V. Katsikopoulos 546 0.7× 372 1.3× 530 2.2× 373 1.6× 59 0.3× 89 2.4k

Countries citing papers authored by Fred Collopy

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fred Collopy

This figure shows the co-authorship network connecting the top 25 collaborators of Fred Collopy. A scholar is included among the top collaborators of Fred Collopy based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fred Collopy. Fred Collopy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Collopy, Fred. (2019). Why the Failure of Systems Thinking Should Inform the Future of Design Thinking (06.07.09). Design Issues. 35(2). 97–100. 12 indexed citations
2.
Armstrong, J. Scott, Fred Collopy, & Monica Adya. (2008). Principles for Examining Predictive Validity: The Case of Information Systems Spending Forecasts. SSRN Electronic Journal. 3 indexed citations
3.
Armstrong, J. Scott & Fred Collopy. (2007). Rule-based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations. Scholarly Commons (University of Pennsylvania). 115 indexed citations
4.
Germonprez, Matt, Dirk S. Hovorka, & Fred Collopy. (2007). A Theory of Tailorable Technology Design. Journal of the Association for Information Systems. 8(6). 351–367. 85 indexed citations
5.
Collopy, Fred. (2003). The Ombudsman: A Pattern Language for Forecasters. INFORMS Journal on Applied Analytics. 33(6). 89–90. 8 indexed citations
6.
Adya, Monica, et al.. (2001). Automatic identification of time series features for rule-based forecasting. International Journal of Forecasting. 17(2). 143–157. 56 indexed citations
7.
Collopy, Fred. (2000). Color, Form, and Motion: Dimensions of a Musical Art of Light. Leonardo. 33(5). 355–360. 22 indexed citations
8.
Armstrong, J. Scott & Fred Collopy. (1998). Integration of statistical methods and judgment for time series forecasting: principles from empirical research. Scholarly Commons (University of Pennsylvania). 58 indexed citations
9.
Adya, Monica & Fred Collopy. (1998). How effective are neural networks at forecasting and prediction? A review and evaluation. Journal of Forecasting. 17(5-6). 481–495. 325 indexed citations
10.
Collopy, Fred & Monica Adya. (1997). Critical issues in the extension of rule-based forecasting systems: refinement, evaluation, and validation. UMI eBooks. 1 indexed citations
11.
Adya, Monica & Fred Collopy. (1995). Does AI Research Aid Prediction? A Review and Evaluation. Journal of the Association for Information Systems. 123–140. 1 indexed citations
12.
Collopy, Fred. (1995). Journal of economic psychology. International Journal of Forecasting. 11(2). 354–355. 222 indexed citations
13.
Collopy, Fred, Monica Adya, & J. Scott Armstrong. (1994). Principles for Examining Predictive Validity: The Case of Information Systems Spending Forecasts. Information Systems Research. 7 indexed citations
14.
Armstrong, J. Scott & Fred Collopy. (1994). How Serious are Methodological Issues in Surveys? A Reexamination of the Clarence Thomas Polls. SSRN Electronic Journal. 1 indexed citations
15.
Collopy, Fred, et al.. (1993). Error measures for generalizing about forecasting methods: Empirical comparisons. Long Range Planning. 26(1). 150–150. 18 indexed citations
16.
Foster, William R., Fred Collopy, & Lyle Ungar. (1992). Neural network forecasting of short, noisy time series. Computers & Chemical Engineering. 16(4). 293–297. 100 indexed citations
17.
Collopy, Fred & J. Scott Armstrong. (1992). Expert opinions about extrapolation and the mystery of the overlooked discontinuities. International Journal of Forecasting. 8(4). 575–582. 3 indexed citations
18.
Armstrong, J. Scott & Fred Collopy. (1992). Error measures for generalizing about forecasting methods: Empirical comparisons. International Journal of Forecasting. 8(1). 69–80. 44 indexed citations
19.
Collopy, Fred. (1991). Innocents in the forest: Forecasting and research methods. International Journal of Forecasting. 7(3). 400–401.
20.
Collopy, Fred & J. Scott Armstrong. (1989). Toward computer-aided forecasting systems: gathering, coding, and validating the knowledge. ScholarlyCommons (University of Pennsylvania). 4 indexed citations

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.

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