A.N. Refenes
Impact in
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- Stock Market Forecasting Methods
- Finance top 5%
- Financial Risk and Volatility Modeling
- Financial Markets and Investment Strategies
- Stochastic processes and financial applications
Papers in
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- Neural Networks and Applications 12
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- Stock Market Forecasting Methods 11
- Forecasting Techniques and Applications 3
- Co-authors
- Achilleas Zapranis (7 shared papers)Andrew N. Burgess (2 shared papers)John Moody (1 shared paper)Derek W. Bunn (1 shared paper)Christos Kollias (1 shared paper)George Skiadopoulos (1 shared paper)Cesare Alippi (1 shared paper)Halbert White (1 shared paper)
- Journals
- Neural Computing and Applications (2 papers)Journal of Futures Markets (1 paper)International Journal of Forecasting (1 paper)Neurocomputing (1 paper)Journal of Forecasting (1 paper)
- Partner nations
- United KingdomGreeceUnited States
In The Last Decade
A.N. Refenes
26 papers receiving 433 citations
Peers
Comparison fields: 5 of 76
- Management Science and Operations Research 239
- Finance 152
- Economics and Econometrics 205
- Artificial Intelligence 178
- General Economics, Econometrics and Finance 45
Countries citing papers authored by A.N. Refenes
This map shows the geographic impact of A.N. Refenes'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 A.N. Refenes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A.N. Refenes more than expected).
Fields of papers citing papers by A.N. Refenes
This network shows the impact of papers produced by A.N. Refenes. 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 A.N. Refenes. The network helps show where A.N. Refenes may publish in the future.
Co-authors
The 8 scholars most cited alongside A.N. Refenes, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 86 | |
| 2 | Neural Networks in the Capital Markets | 1994 | 73 |
| 3 | 2004 | 69 | |
| 4 | 1994 | 36 | |
| 5 | Principles of Neural Model Identification, Selection and Adequacy : With Applications to Financial Econometrics | 1999 | 33 |
| 6 | 1999 | 31 | |
| 7 | 1997 | 28 | |
| 8 | 1998 | 26 | |
| 9 | 2002 | 23 | |
| 10 | 1992 | 18 | |
| 11 | 1995 | 15 | |
| 12 | 2016 | 14 | |
| 13 | 2005 | 11 | |
| 14 | 1994 | 6 | |
| 15 | Neural network system for tactical asset allocation in the global bonds markets | 1993 | 6 |
| 16 | Modeling quarterly returns on the FTSE: a comparative study with regression and neural networks | 1996 | 4 |
| 17 | 1991 | 4 | |
| 18 | 2024 | 3 | |
| 19 | 1992 | 3 | |
| 20 | 1991 | 3 |
About A.N. Refenes
A.N. Refenes is a scholar working on Artificial Intelligence, Management Science and Operations Research, Economics and Econometrics, Finance and Signal Processing, having authored 27 papers that have together received 503 indexed citations. Recurring topics across this work include Neural Networks and Applications (12 papers), Stock Market Forecasting Methods (11 papers), Financial Markets and Investment Strategies (3 papers), Forecasting Techniques and Applications (3 papers), Financial Risk and Volatility Modeling (3 papers), Complex Systems and Time Series Analysis (3 papers), Market Dynamics and Volatility (3 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Management Science and Operations Research (239 citations), Finance (152 citations), Economics and Econometrics (205 citations), Artificial Intelligence (178 citations) and General Economics, Econometrics and Finance (45 citations). A.N. Refenes has collaborated with scholars based in United Kingdom, Greece and United States. Frequent co-authors include Achilleas Zapranis, Andrew N. Burgess, John Moody, Derek W. Bunn, Christos Kollias, George Skiadopoulos, Cesare Alippi and Halbert White. Their work appears in journals such as Neural Computing and Applications, Journal of Futures Markets, International Journal of Forecasting, Neurocomputing and Journal of Forecasting.
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.