Hans Wackernagel
- Environmental Engineering top 0.5%
- Global and Planetary Change top 2%
- Atmospheric Science top 5%
- Artificial Intelligence top 2%
- Economics and Econometrics top 5%
- Co-authors
- Timothy C. HaasG. HudsonLaurent BertinoGeir EvensenShahrokh RouhaniChristian LajaunieFabrice CarratHans von Storch
- Topics
- Soil Geostatistics and Mapping (16 papers)Reservoir Engineering and Simulation Methods (5 papers)Meteorological Phenomena and Simulations (5 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Hans Wackernagel
35 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Environmental Engineering 1.3k
- Global and Planetary Change 740
- Atmospheric Science 561
- Artificial Intelligence 560
- Economics and Econometrics 313
Countries citing papers authored by Hans Wackernagel
This map shows the geographic impact of Hans Wackernagel'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 Hans Wackernagel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hans Wackernagel more than expected).
Fields of papers citing papers by Hans Wackernagel
This network shows the impact of papers produced by Hans Wackernagel. 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 Hans Wackernagel. The network helps show where Hans Wackernagel may publish in the future.
Co-authorship network of co-authors of Hans Wackernagel
This figure shows the co-authorship network connecting the top 25 collaborators of Hans Wackernagel. A scholar is included among the top collaborators of Hans Wackernagel 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 Hans Wackernagel. Hans Wackernagel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 36 | |
| 2 | Simulations géostatistique de modèles de réservoir à maille irrégulière utilisant des méthodes non-linéaires de la géostatistique | 2 |
| 3 | 1 | |
| 4 | 26 | |
| 5 | 28 | |
| 6 | History Matching of Reservoir Models by Ensemble Kalman Filtering: the State of the Art and a Sensitivity Study | 1 |
| 7 | 19 | |
| 8 | 15 | |
| 9 | 92 | |
| 10 | 15 | |
| 11 | An ensemble Kalman filter for non-gaussian variables | 4 |
| 12 | Multivariate Geostatisticsbreakdown → | 909 |
| 13 | 9 | |
| 14 | Normalisation of Environmental Quality Data | 6 |
| 15 | 72 | |
| 16 | 222 | |
| 17 | 2 | |
| 18 | 105 | |
| 19 | 11 | |
| 20 | 21 |
About Hans Wackernagel
Hans Wackernagel is a scholar working on Environmental Engineering, Global and Planetary Change and Ocean Engineering, having authored 36 papers that have together received 3.1k indexed citations. Recurring topics across this work include Soil Geostatistics and Mapping (16 papers), Reservoir Engineering and Simulation Methods (5 papers) and Meteorological Phenomena and Simulations (5 papers). The work is most often cited by research in Environmental Engineering (1.3k citations), Global and Planetary Change (740 citations) and Atmospheric Science (561 citations). Hans Wackernagel has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Timothy C. Haas, G. Hudson, Laurent Bertino, Geir Evensen, Shahrokh Rouhani, Christian Lajaunie, Fabrice Carrat, Hans von Storch, Gérard Biau and Eduardo Zorita. Their work appears in journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.
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.