William Remus
Impact in
- General Decision Sciences top 1%
- Decision-Making and Behavioral Economics
-
- Forecasting Techniques and Applications
- Stock Market Forecasting Methods
Papers in
-
- Forecasting Techniques and Applications 19
- Stock Market Forecasting Methods 5
- Complex Systems and Decision Making 5
-
- Decision-Making and Behavioral Economics 11
- Co-authors
- Marcus O’Connor (17 shared papers)Tim Hill (7 shared papers)Leorey Marquez (3 shared papers)Jeffrey E Kottemann (7 shared papers)Margaret Meiling Luo (3 shared papers)Kenneth Griggs (7 shared papers)Fred D. Davis (2 shared papers)Kai H. Lim (3 shared papers)
- Journals
- International Journal of Forecasting (8 papers)Management Science (4 papers)MIS Quarterly (3 papers)Journal of Forecasting (3 papers)INFORMS Journal on Applied Analytics (2 papers)
- Partner nations
- United StatesAustraliaTaiwan
In The Last Decade
William Remus
62 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 140
- General Decision Sciences 245
- Management Science and Operations Research 922
- Information Systems and Management 264
- Management Information Systems 194
- Artificial Intelligence 467
Countries citing papers authored by William Remus
This map shows the geographic impact of William Remus'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 Remus with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Remus more than expected).
Fields of papers citing papers by William Remus
This network shows the impact of papers produced by William Remus. 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 Remus. The network helps show where William Remus may publish in the future.
Co-authors
The 15 scholars most cited alongside William Remus, 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 65 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 344 | |
| 2 | 1994 | 330 | |
| 3 | 1986 | 196 | |
| 4 | 1999 | 124 | |
| 5 | 1984 | 121 | |
| 6 | 1993 | 91 | |
| 7 | 2014 | 85 | |
| 8 | 1994 | 68 | |
| 9 | 1997 | 51 | |
| 10 | 1987 | 51 | |
| 11 | 1986 | 49 | |
| 12 | 1996 | 49 | |
| 13 | 1994 | 42 | |
| 14 | 2004 | 40 | |
| 15 | 2002 | 31 | |
| 16 | 1989 | 30 | |
| 17 | 1995 | 28 | |
| 18 | 1996 | 27 | |
| 19 | 1978 | 24 | |
| 20 | 1987 | 23 |
About William Remus
William Remus is a scholar working on Management Science and Operations Research, General Decision Sciences, Artificial Intelligence, Sociology and Political Science and Management Information Systems, having authored 65 papers that have together received 2.2k indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (19 papers), Decision-Making and Behavioral Economics (11 papers), Digital Marketing and Social Media (6 papers), Neural Networks and Applications (6 papers), Stock Market Forecasting Methods (5 papers), Technology Adoption and User Behaviour (5 papers), Complex Systems and Decision Making (5 papers) and Experimental Behavioral Economics Studies (5 papers). The work is most often cited by research in General Decision Sciences (245 citations), Management Science and Operations Research (922 citations), Information Systems and Management (264 citations), Management Information Systems (194 citations) and Artificial Intelligence (467 citations). William Remus has collaborated with scholars based in United States, Australia and Taiwan. Frequent co-authors include Marcus O’Connor, Tim Hill, Leorey Marquez, Jeffrey E Kottemann, Margaret Meiling Luo, Kenneth Griggs, Fred D. Davis, Kai H. Lim, Reginald Worthley and Pauline J. Sheldon. Their work appears in journals such as International Journal of Forecasting, Management Science, MIS Quarterly, Journal of Forecasting and INFORMS Journal on Applied Analytics.
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.