Jan Johannes
- Statistics and Probability top 2%
- General Economics, Econometrics and Finance top 10%
- Economics and Econometrics
- Artificial Intelligence
- Control and Systems Engineering
- Co-authors
- Sébastien Van BellegemFabienne ComteJean‐Pierre FlorensHervé CardotAnne VanhemsThorsten HohageEnno MammenOlaf Bunke
- Topics
- Statistical Methods and Inference (19 papers)Statistical Methods and Bayesian Inference (6 papers)Numerical methods in inverse problems (6 papers)
In The Last Decade
Jan Johannes
22 papers receiving 204 citations
Peers
Comparison fields: 5 of 39
- Statistics and Probability 168
- General Economics, Econometrics and Finance 43
- Economics and Econometrics 35
- Artificial Intelligence 31
- Control and Systems Engineering 26
Countries citing papers authored by Jan Johannes
This map shows the geographic impact of Jan Johannes'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 Jan Johannes with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Johannes more than expected).
Fields of papers citing papers by Jan Johannes
This network shows the impact of papers produced by Jan Johannes. 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 Jan Johannes. The network helps show where Jan Johannes may publish in the future.
Co-authorship network of co-authors of Jan Johannes
This figure shows the co-authorship network connecting the top 25 collaborators of Jan Johannes. A scholar is included among the top collaborators of Jan Johannes based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jan Johannes. Jan Johannes is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 4 | |
| 8 | 19 | |
| 9 | 2 | |
| 10 | 7 | |
| 11 | 36 | |
| 12 | 2 | |
| 13 | Convergence rates for ill-posed inverse problems with an unknown operator | 2 |
| 14 | Partially adaptive nonparametric instrumental regression by model selection | 1 |
| 15 | 8 | |
| 16 | 13 | |
| 17 | Adaptive nonparametric instrumental regression by model selection | 2 |
| 18 | 38 | |
| 19 | 1 | |
| 20 | 16 |
About Jan Johannes
Jan Johannes is a scholar working on Statistics and Probability, Mathematical Physics and General Economics, Econometrics and Finance, having authored 22 papers that have together received 209 indexed citations. Recurring topics across this work include Statistical Methods and Inference (19 papers), Statistical Methods and Bayesian Inference (6 papers) and Numerical methods in inverse problems (6 papers). The work is most often cited by research in Statistics and Probability (168 citations), General Economics, Econometrics and Finance (43 citations) and Statistics, Probability and Uncertainty (25 citations). Jan Johannes has collaborated with scholars based in Belgium, France and Germany. Frequent co-authors include Sébastien Van Bellegem, Fabienne Comte, Jean‐Pierre Florens, Hervé Cardot, Anne Vanhems, Thorsten Hohage, Enno Mammen, Olaf Bunke, Suhasini Subba Rao and M. Siebel. Their work appears in journals such as Journal of Econometrics, The Annals of Statistics and Journal of Multivariate Analysis.
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.