Guy Mélard
Impact in
- Statistics and Probability top 5%
- Advanced Statistical Methods and Models
- Statistical Methods and Inference
- Finance top 5%
- Financial Risk and Volatility Modeling
Papers in ⓘ
-
- Advanced Statistical Methods and Models 8
- Finance 17
- Financial Risk and Volatility Modeling 16
- Co-authors
- André Klein (15 shared papers)J. M. Pasteels (1 shared paper)Marc Hallin (4 shared papers)Roch Roy (5 shared papers)Toufik Zahaf (3 shared papers)Peter Spreij (1 shared paper)Marianne Paesmans (1 shared paper)Christophe Ley (1 shared paper)
- Journals
- Journal of Time Series Analysis (7 papers)Computational Statistics & Data Analysis (3 papers)Linear Algebra and its Applications (3 papers)Journal of the American Statistical Association (2 papers)Journal of Computational and Applied Mathematics (2 papers)
- Partner nations
- BelgiumNetherlandsMorocco
In The Last Decade
Guy Mélard
48 papers receiving 551 citations
Peers
Comparison fields: 5 of 108
- Statistics and Probability 128
- Finance 143
- Signal Processing 90
- General Economics, Econometrics and Finance 68
- Management Science and Operations Research 94
Countries citing papers authored by Guy Mélard
This map shows the geographic impact of Guy Mélard'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 Guy Mélard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guy Mélard more than expected).
Fields of papers citing papers by Guy Mélard
This network shows the impact of papers produced by Guy Mélard. 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 Guy Mélard. The network helps show where Guy Mélard may publish in the future.
Co-authors
The 9 scholars most cited alongside Guy Mélard, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 77 | |
| 2 | 1989 | 76 | |
| 3 | 2000 | 64 | |
| 4 | 2006 | 30 | |
| 5 | 1988 | 23 | |
| 6 | 2000 | 20 | |
| 7 | 2005 | 17 | |
| 8 | 1994 | 17 | |
| 9 | 1990 | 14 | |
| 10 | 1994 | 13 | |
| 11 | 1990 | 12 | |
| 12 | 1988 | 12 | |
| 13 | 1998 | 12 | |
| 14 | 2005 | 12 | |
| 15 | 1994 | 12 | |
| 16 | 1998 | 11 | |
| 17 | 2008 | 9 | |
| 18 | 2017 | 9 | |
| 19 | 2004 | 9 | |
| 20 | 1984 | 9 |
About Guy Mélard
Guy Mélard is a scholar working on Statistics and Probability, Finance, Management Science and Operations Research, Signal Processing and General Economics, Econometrics and Finance, having authored 51 papers that have together received 575 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (16 papers), Complex Systems and Time Series Analysis (11 papers), Forecasting Techniques and Applications (9 papers), Advanced Statistical Methods and Models (8 papers), Target Tracking and Data Fusion in Sensor Networks (6 papers), Monetary Policy and Economic Impact (5 papers), Statistical Mechanics and Entropy (5 papers) and Neural Networks and Applications (4 papers). The work is most often cited by research in Statistics and Probability (128 citations), Finance (143 citations), Signal Processing (90 citations), General Economics, Econometrics and Finance (68 citations) and Management Science and Operations Research (94 citations). Guy Mélard has collaborated with scholars based in Belgium, Netherlands and Morocco. Frequent co-authors include André Klein, J. M. Pasteels, Marc Hallin, Roch Roy, Toufik Zahaf, Peter Spreij, Marianne Paesmans, Christophe Ley and Kristján Jónasson. Their work appears in journals such as Journal of Time Series Analysis, Computational Statistics & Data Analysis, Linear Algebra and its Applications, Journal of the American Statistical Association and Journal of Computational and Applied Mathematics.
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.