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, Australia and Latvia. Fred Collopy's co-authors include Monica Adya, J. Scott Armstrong, William R. Foster, Lyle Ungar, Matt Germonprez, Dirk S. Hovorka, Kalle Lyytinen, Youngjin Yoo, 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

Peers

Fred Collopy
Comparison fields: 5 of 152
  • Management Science and Operations Research 732
  • Artificial Intelligence 295
  • Economics and Econometrics 246
  • Sociology and Political Science 237
  • Electrical and Electronic Engineering 208
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William Remus United States
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Xuedong Liang China
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Citations per field, relative to Fred Collopy
Fred Collopy · 1×
Citations per year, relative to Fred Collopy
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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
# Work Indexed citations
1
Principles for Examining Predictive Validity: The Case of Information Systems Spending Forecasts
3
2
Assessing Research Performance: Implications for Selection and Motivation
15
3
Rule-based Forecasting: Development and Validation of an Expert Systems Approach to Combining Time Series Extrapolations
115
4 85
5 8
6 0
7
Rule-Based Forecasting: Using domain knowledge in time series extrapolation
1
8 3
9
Integration of statistical methods and judgment for time series forecasting: principles from empirical research
58
10 325
11
Critical issues in the extension of rule-based forecasting systems: refinement, evaluation, and validation
1
12 105
13
Does AI Research Aid Prediction? A Review and Evaluation
1
14 222
15
Principles for Examining Predictive Validity: The Case of Information Systems Spending Forecasts
7
16 28
17 44
18 100
19 3
20
Toward computer-aided forecasting systems: gathering, coding, and validating the knowledge
4

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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