Laurent Callot
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- Forecasting Techniques and Applications 8
- Stock Market Forecasting Methods 3
- Signal Processing top 5%
- Time Series Analysis and Forecasting 4
- Finance top 5%
- Financial Risk and Volatility Modeling 3
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- Monetary Policy and Economic Impact 3
- Statistics and Probability top 10%
- Statistical Methods and Inference 3
- Advanced Statistical Methods and Models 2
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- Italy: Economic History and Contemporary Issues 2
- Co-authors
- Anders KockJan GasthausDavid SalinasTim JanuschowskiValentín FlunkertMarcelo C. MedeirosMichael Bohlke‐SchneiderYuyang Wang
- Journals
- ACM Computing Surveys (1 paper)Journal of Business and Economic Statistics (2 papers)International Journal of Forecasting (1 paper)
- Partner nations
- DenmarkNetherlandsUnited States
In The Last Decade
Laurent Callot
18 papers receiving 424 citations
Hit Papers
Peers
Comparison fields: 5 of 84
- Management Science and Operations Research 187
- Signal Processing 109
- Finance 92
- General Economics, Econometrics and Finance 52
- Statistics and Probability 35
Countries citing papers authored by Laurent Callot
This map shows the geographic impact of Laurent Callot'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 Laurent Callot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laurent Callot more than expected).
Fields of papers citing papers by Laurent Callot
This network shows the impact of papers produced by Laurent Callot. 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 Laurent Callot. The network helps show where Laurent Callot may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Laurent Callot, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | Deep Learning for Time Series Forecasting: Tutorial and Literature Surveybreakdown → | 2022 | 150 |
| 3 | 2021 | 2 | |
| 4 | A Simple and Effective Predictive Resource Scaling Heuristic for Large-scale Cloud Applications. | 2020 | 1 |
| 5 | 2019 | 16 | |
| 6 | 2019 | 117 | |
| 7 | 2019 | 23 | |
| 8 | Deep Learning for Forecasting: Current Trends and Challenges | 2018 | 12 |
| 9 | Deep Learning for Forecasting | 2018 | 3 |
| 10 | 2016 | 63 | |
| 11 | 2015 | 10 | |
| 12 | 2015 | 7 | |
| 13 | 2014 | 4 | |
| 14 | 2014 | 1 | |
| 15 | 2012 | 32 | |
| 16 | 2011 | 5 | |
| 17 | A Bootstrap Cointegration Rank Test for Panels of VAR Models | 2010 | 1 |
| 18 | 2010 | 2 |
About Laurent Callot
Laurent Callot is a scholar working on Management Science and Operations Research, General Decision Sciences and Finance, having authored 18 papers that have together received 450 indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (8 papers), Time Series Analysis and Forecasting (4 papers), Financial Risk and Volatility Modeling (3 papers), Stock Market Forecasting Methods (3 papers), Statistical Methods and Inference (3 papers), Monetary Policy and Economic Impact (3 papers), Advanced Statistical Methods and Models (2 papers) and Italy: Economic History and Contemporary Issues (2 papers). The work is most often cited by research in Management Science and Operations Research (187 citations), Signal Processing (109 citations) and Finance (92 citations). Laurent Callot has collaborated with scholars based in Denmark, Netherlands and United States. Frequent co-authors include Anders Kock, Jan Gasthaus, David Salinas, Tim Januschowski, Valentín Flunkert, Marcelo C. Medeiros, Michael Bohlke‐Schneider, Yuyang Wang, Syama Sundar Rangapuram and Lorenzo Stella. Their work appears in journals such as ACM Computing Surveys, Journal of Business and Economic Statistics and International 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.