Hans Wackernagel

6.0k total citations · 1 hit paper
36 papers, 3.1k citations indexed

About

Hans Wackernagel is a scholar working on Environmental Engineering, Global and Planetary Change and Ocean Engineering. According to data from OpenAlex, Hans Wackernagel has authored 36 papers receiving a total of 3.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Environmental Engineering, 7 papers in Global and Planetary Change and 5 papers in Ocean Engineering. Recurrent topics in Hans Wackernagel's work include Soil Geostatistics and Mapping (16 papers), Reservoir Engineering and Simulation Methods (5 papers) and Meteorological Phenomena and Simulations (5 papers). Hans Wackernagel is often cited by papers focused on Soil Geostatistics and Mapping (16 papers), Reservoir Engineering and Simulation Methods (5 papers) and Meteorological Phenomena and Simulations (5 papers). Hans Wackernagel collaborates with scholars based in France, Germany and United States. Hans Wackernagel's co-authors include Timothy C. Haas, G. Hudson, Laurent Bertino, Geir Evensen, Shahrokh Rouhani, Christian Lajaunie, Fabrice Carrat, Gérard Biau, Eduardo Zorita and Hans von Storch and has published in prestigious journals such as Journal of the American Statistical Association, PLoS ONE and Technometrics.

In The Last Decade

Hans Wackernagel

35 papers receiving 2.9k citations

Hit Papers

Multivariate Geostatistics 2003 2026 2010 2018 2003 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hans Wackernagel France 17 1.3k 740 561 560 313 36 3.1k
Donald E. Myers United States 35 2.1k 1.6× 980 1.3× 458 0.8× 682 1.2× 608 1.9× 98 4.7k
Pierre Delfiner France 10 2.3k 1.7× 719 1.0× 406 0.7× 1.1k 2.0× 435 1.4× 21 4.5k
Eulogio Pardo‐Igúzquiza Spain 35 1.4k 1.1× 971 1.3× 1.4k 2.5× 418 0.7× 157 0.5× 182 3.8k
Ricardo A. Olea United States 28 1.2k 0.9× 372 0.5× 222 0.4× 599 1.1× 125 0.4× 99 2.7k
Phaedon Kyriakidis United States 31 1.3k 1.0× 1.2k 1.6× 571 1.0× 285 0.5× 325 1.0× 93 3.5k
Jean‐Paul Chilès France 15 2.7k 2.0× 730 1.0× 431 0.8× 1.2k 2.2× 433 1.4× 29 5.5k
John C. Davis United States 20 1.0k 0.8× 905 1.2× 909 1.6× 1.1k 1.9× 110 0.4× 59 5.5k
B. P. Marchant United Kingdom 36 1.1k 0.8× 1.6k 2.1× 789 1.4× 488 0.9× 82 0.3× 112 3.8k
Zekâi̇ Şen Türkiye 36 1.2k 0.9× 2.1k 2.8× 540 1.0× 831 1.5× 119 0.4× 183 5.1k
Mikhaïl Kanevski Switzerland 29 663 0.5× 819 1.1× 982 1.8× 935 1.7× 233 0.7× 147 3.9k

Countries citing papers authored by Hans Wackernagel

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Lemaître, Magali, Mark L. Wilson, Cécile Viboud, et al.. (2016). Applications of Extreme Value Theory in Public Health. PLoS ONE. 11(7). e0159312–e0159312. 36 indexed citations
2.
Wackernagel, Hans, et al.. (2016). Geostatistical Simulations on Irregular Reservoir Models. Proceedings. 1 indexed citations
3.
Wackernagel, Hans, et al.. (2015). Simulations géostatistique de modèles de réservoir à maille irrégulière utilisant des méthodes non-linéaires de la géostatistique. HAL (Le Centre pour la Communication Scientifique Directe). 2 indexed citations
4.
Wackernagel, Hans, et al.. (2015). Geostatistical Simulations on Irregular Reservoir Models Using Methods of Nonlinear Geostatistics. Proceedings. 1 indexed citations
5.
Ielsch, G., et al.. (2014). Indoor terrestrial gamma dose rate mapping in France: a case study using two different geostatistical models. Journal of Environmental Radioactivity. 139. 140–148. 26 indexed citations
6.
Gervais, Véronique, et al.. (2012). History matching of petroleum reservoir models by the Ensemble Kalman Filter and parameterization methods. Computers & Geosciences. 55. 84–95. 28 indexed citations
7.
Ravalec, M. Le, et al.. (2011). History Matching of Reservoir Models by Ensemble Kalman Filtering: the State of the Art and a Sensitivity Study. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
8.
Chauris, Hervé, et al.. (2010). The circlet transform: A robust tool for detecting features with circular shapes. Computers & Geosciences. 37(3). 331–342. 19 indexed citations
9.
Carrat, Fabrice, et al.. (2006). A 'small-world-like' model for comparing interventions aimed at preventing and controlling influenza pandemics. BMC Medicine. 4(1). 26–26. 92 indexed citations
10.
Bertino, Laurent, et al.. (2003). An ensemble Kalman filter for non-gaussian variables. EGS - AGU - EUG Joint Assembly. 5171. 4 indexed citations
11.
Wackernagel, Hans. (2003). Multivariate Geostatistics. HAL (Le Centre pour la Communication Scientifique Directe). 909 indexed citations breakdown →
12.
Sénégas, Julien, et al.. (2001). Error covariance modeling in sequential data assimilation. Stochastic Environmental Research and Risk Assessment. 15(1). 65–86. 9 indexed citations
13.
Biau, Gérard, Eduardo Zorita, Hans von Storch, & Hans Wackernagel. (1999). Estimation of Precipitation by Kriging in the EOF Space of theSea Level Pressure Field. Journal of Climate. 12(4). 1070–1085. 72 indexed citations
14.
Wackernagel, Hans. (1998). Multivariate Geostatistics. 222 indexed citations
15.
Hudson, G. & Hans Wackernagel. (1994). Mapping temperature using kriging with external drift: Theory and an example from scotland. International Journal of Climatology. 14(1). 77–91. 259 indexed citations
16.
Wackernagel, Hans. (1991). Comment on “application of spatial filter theory to kriging” by James R. Carr. Mathematical Geology. 23(7). 981–983. 2 indexed citations
17.
Rouhani, Shahrokh & Hans Wackernagel. (1990). Multivariate geostatistical approach to space‐time data analysis. Water Resources Research. 26(4). 585–591. 105 indexed citations
18.
Wackernagel, Hans, et al.. (1989). Caractérisation d'anomalies géochimiques par la géostatistique multivariable. Journal of Geochemical Exploration. 32(1-3). 437–444. 11 indexed citations
19.
Wackernagel, Hans. (1989). Description of a computer program for analyzing multivariate spatially distributed data. Computers & Geosciences. 15(4). 593–598. 21 indexed citations
20.
Wackernagel, Hans, R. Webster, & Margaret A. Oliver. (1988). A geostatistical method for segmenting multivariate sequences of soil data.. Rothamsted Repository (Rothamsted Repository). 13 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026