Marc Wildi
Impact in
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Functional Brain Connectivity Studies
- Neural and Behavioral Psychology Studies
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- Monetary Policy and Economic Impact
Papers in
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- Monetary Policy and Economic Impact 5
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- Forecasting Techniques and Applications 5
- Co-authors
- Johannes Sarnthein (2 shared papers)Tucker McElroy (7 shared papers)Jan‐Egbert Sturm (1 shared paper)Daniel Perrin (3 shared papers)
- Journals
- International Journal of Forecasting (2 papers)Econometrics and Statistics (1 paper)NeuroImage (1 paper)Clinical Neurophysiology (1 paper)Studies of Applied Economics (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Marc Wildi
17 papers receiving 261 citations
Peers
Comparison fields: 5 of 54
- Cognitive Neuroscience 167
- General Economics, Econometrics and Finance 18
- Management Science and Operations Research 24
- General Decision Sciences 3
- Human-Computer Interaction 8
Countries citing papers authored by Marc Wildi
This map shows the geographic impact of Marc Wildi'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 Marc Wildi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Wildi more than expected).
Fields of papers citing papers by Marc Wildi
This network shows the impact of papers produced by Marc Wildi. 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 Marc Wildi. The network helps show where Marc Wildi may publish in the future.
Co-authors
The 4 scholars most cited alongside Marc Wildi, 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 | 2007 | 148 | |
| 2 | 2008 | 47 | |
| 3 | 2013 | 17 | |
| 4 | 2019 | 15 | |
| 5 | 2004 | 8 | |
| 6 | 2016 | 4 | |
| 7 | 2019 | 4 | |
| 8 | 2010 | 4 | |
| 9 | 2010 | 3 | |
| 10 | Real-Time Filtering: Using the Multivariate DFA to Monitor the US Business Cycle | 2008 | 3 |
| 11 | 2020 | 3 | |
| 12 | 2016 | 3 | |
| 13 | 2002 | 2 | |
| 14 | 2018 | 1 | |
| 15 | Cumulated deviation of a linear trend : statistical modeling of writing processes | 2008 | 1 |
| 16 | Statistical modeling of writing processes | 2008 | 1 |
| 17 | From walking to jumping : statistical modeling of writing processes | 2011 | 1 |
| 18 | 2024 | 0 | |
| 19 | 2021 | 0 |
About Marc Wildi
Marc Wildi is a scholar working on General Economics, Econometrics and Finance, Management Science and Operations Research, Control and Systems Engineering, Applied Mathematics and Economics and Econometrics, having authored 19 papers that have together received 265 indexed citations. Recurring topics across this work include Forecasting Techniques and Applications (5 papers), Monetary Policy and Economic Impact (5 papers), Statistical and numerical algorithms (4 papers), Advanced Statistical Methods and Models (2 papers), Image and Signal Denoising Methods (2 papers), Control Systems and Identification (2 papers), EEG and Brain-Computer Interfaces (2 papers) and Fault Detection and Control Systems (2 papers). The work is most often cited by research in Cognitive Neuroscience (167 citations), General Economics, Econometrics and Finance (18 citations), Management Science and Operations Research (24 citations), General Decision Sciences (3 citations) and Human-Computer Interaction (8 citations). Marc Wildi has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Johannes Sarnthein, Tucker McElroy, Jan‐Egbert Sturm and Daniel Perrin. Their work appears in journals such as International Journal of Forecasting, Econometrics and Statistics, NeuroImage, Clinical Neurophysiology and Studies of Applied Economics.
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.