Guy Mélard
Impact in
- Signal Processing top 2%
- Time Series Analysis and Forecasting
- Applied Mathematics top 2%
- Statistical and numerical algorithms
- Mathematical Analysis and Transform Methods
Papers in
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- Statistical and numerical algorithms 36
-
- Time Series Analysis and Forecasting 24
- Co-authors
- André Klein (13 shared papers)J. M. Pasteels (1 shared paper)Marc Hallin (4 shared papers)Roch Roy (5 shared papers)Toufik Zahaf (2 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)IEEE Transactions on Signal Processing (2 papers)Journal of Statistical Planning and Inference (2 papers)
- Partner nations
- BelgiumNetherlandsMorocco
In The Last Decade
Guy Mélard
48 papers receiving 620 citations
Peers
Comparison fields: 5 of 88
- Signal Processing 189
- Applied Mathematics 249
- Statistics and Probability 113
- Finance 76
- Control and Systems Engineering 148
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 10 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 | 89 | |
| 2 | 1989 | 81 | |
| 3 | 2000 | 75 | |
| 4 | 1988 | 37 | |
| 5 | 2006 | 33 | |
| 6 | 2000 | 20 | |
| 7 | 2005 | 19 | |
| 8 | 1994 | 17 | |
| 9 | 1990 | 15 | |
| 10 | 2017 | 14 | |
| 11 | 1990 | 13 | |
| 12 | 1994 | 13 | |
| 13 | 2005 | 13 | |
| 14 | Méthodes de prévision à court terme | 1990 | 12 |
| 15 | 1991 | 12 | |
| 16 | 1998 | 12 | |
| 17 | 1987 | 11 | |
| 18 | 2021 | 11 | |
| 19 | 1994 | 10 | |
| 20 | 1995 | 10 |
About Guy Mélard
Guy Mélard is a scholar working on Applied Mathematics, Signal Processing, Control and Systems Engineering, Statistics and Probability and Finance, having authored 51 papers that have together received 664 indexed citations. Recurring topics across this work include Statistical and numerical algorithms (36 papers), Time Series Analysis and Forecasting (24 papers), Control Systems and Identification (18 papers), Forecasting Techniques and Applications (7 papers), Financial Risk and Volatility Modeling (6 papers), Probability and Statistical Research (5 papers), Advanced Statistical Methods and Models (4 papers) and Statistical Methods and Inference (2 papers). The work is most often cited by research in Signal Processing (189 citations), Applied Mathematics (249 citations), Statistics and Probability (113 citations), Finance (76 citations) and Control and Systems Engineering (148 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, Xavier Milhaud and Kristján Jónasson. Their work appears in journals such as Journal of Time Series Analysis, Computational Statistics & Data Analysis, Linear Algebra and its Applications, IEEE Transactions on Signal Processing and Journal of Statistical Planning and Inference.
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.