Ines Wilms
Impact in
- Economics and Econometrics top 10%
- Market Dynamics and Volatility
- Energy, Environment, Economic Growth
- Complex Systems and Time Series Analysis
Papers in
-
- Statistical Methods and Inference 8
- Advanced Statistical Methods and Models 6
-
- Market Dynamics and Volatility 4
- Co-authors
- Christophe Croux (14 shared papers)Luca Barbaglia (4 shared papers)Jeroen V.K. Rombouts (3 shared papers)Sarah Gelper (3 shared papers)Stephan Smeekes (1 shared paper)David S. Matteson (4 shared papers)Ruey S. Tsay (2 shared papers)Sumanta Basu (2 shared papers)
- Journals
- International Journal of Forecasting (3 papers)Energy Economics (2 papers)European Journal of Operational Research (2 papers)Information Systems Research (1 paper)BMC Systems Biology (1 paper)
- Partner nations
- NetherlandsBelgiumFrance
In The Last Decade
Ines Wilms
22 papers receiving 263 citations
Peers
Comparison fields: 5 of 71
- General Energy 8
- Economics and Econometrics 150
- General Economics, Econometrics and Finance 44
- Finance 49
- Statistics and Probability 38
Countries citing papers authored by Ines Wilms
This map shows the geographic impact of Ines Wilms'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 Ines Wilms with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ines Wilms more than expected).
Fields of papers citing papers by Ines Wilms
This network shows the impact of papers produced by Ines Wilms. 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 Ines Wilms. The network helps show where Ines Wilms may publish in the future.
Co-authors
The 16 scholars most cited alongside Ines Wilms, 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 | 2019 | 74 | |
| 2 | 2020 | 35 | |
| 3 | 2015 | 28 | |
| 4 | 2021 | 21 | |
| 5 | 2016 | 21 | |
| 6 | 2016 | 15 | |
| 7 | 2016 | 13 | |
| 8 | 2020 | 12 | |
| 9 | 2016 | 11 | |
| 10 | 2017 | 8 | |
| 11 | 2017 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 3 | |
| 16 | 2023 | 2 | |
| 17 | Sparse Identification and Estimation of High-Dimensional Vector AutoRegressive Moving Averages | 2017 | 2 |
| 18 | 2022 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2024 | 1 |
About Ines Wilms
Ines Wilms is a scholar working on Statistics and Probability, Economics and Econometrics, Management Science and Operations Research, Artificial Intelligence and Marketing, having authored 27 papers that have together received 270 indexed citations. Recurring topics across this work include Statistical Methods and Inference (8 papers), Advanced Statistical Methods and Models (6 papers), Forecasting Techniques and Applications (4 papers), Monetary Policy and Economic Impact (4 papers), Market Dynamics and Volatility (4 papers), Advanced Statistical Process Monitoring (3 papers), Consumer Market Behavior and Pricing (3 papers) and Financial Risk and Volatility Modeling (3 papers). The work is most often cited by research in General Energy (8 citations), Economics and Econometrics (150 citations), General Economics, Econometrics and Finance (44 citations), Finance (49 citations) and Statistics and Probability (38 citations). Ines Wilms has collaborated with scholars based in Netherlands, Belgium and France. Frequent co-authors include Christophe Croux, Luca Barbaglia, Jeroen V.K. Rombouts, Sarah Gelper, Stephan Smeekes, David S. Matteson, Ruey S. Tsay, Sumanta Basu, Jacob Bien and Alain Hecq. Their work appears in journals such as International Journal of Forecasting, Energy Economics, European Journal of Operational Research, Information Systems Research and BMC Systems Biology.
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.