Gardar Johannesson

1.7k total citations · 1 hit paper
19 papers, 1.1k citations indexed

About

Gardar Johannesson is a scholar working on Geophysics, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Gardar Johannesson has authored 19 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Geophysics, 6 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in Gardar Johannesson's work include High-pressure geophysics and materials (5 papers), earthquake and tectonic studies (5 papers) and Soil Geostatistics and Mapping (4 papers). Gardar Johannesson is often cited by papers focused on High-pressure geophysics and materials (5 papers), earthquake and tectonic studies (5 papers) and Soil Geostatistics and Mapping (4 papers). Gardar Johannesson collaborates with scholars based in United States, Canada and China. Gardar Johannesson's co-authors include Noel Cressie, Stephen C. Myers, William G. Hanley, Hsin‐Cheng Huang, Zhangshuan Hou, Richard Neale, Yun Qian, N. A. Simmons, G Sugiyama and Luca Delle Monache and has published in prestigious journals such as Geophysical Research Letters, Geophysical Journal International and Journal of the Royal Statistical Society Series B (Statistical Methodology).

In The Last Decade

Gardar Johannesson

16 papers receiving 1.1k citations

Hit Papers

Fixed Rank Kriging for Very Large Spatial Data Sets 2008 2026 2014 2020 2008 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gardar Johannesson United States 10 496 310 272 230 205 19 1.1k
Matthias Katzfuß United States 15 539 1.1× 405 1.3× 405 1.5× 257 1.1× 264 1.3× 41 1.5k
Andrew Zammit‐Mangion Australia 15 351 0.7× 338 1.1× 223 0.8× 168 0.7× 339 1.7× 66 1.4k
Jo Eidsvik Norway 21 373 0.8× 119 0.4× 367 1.3× 133 0.6× 38 0.2× 93 1.4k
Serge Guillas United Kingdom 18 170 0.3× 142 0.5× 132 0.5× 69 0.3× 221 1.1× 58 898
C. R. Dietrich Australia 14 381 0.8× 104 0.3× 90 0.3× 78 0.3× 46 0.2× 36 941
Henning Omre Norway 23 468 0.9× 98 0.3× 293 1.1× 96 0.4× 50 0.2× 79 2.6k
William Kleiber United States 19 531 1.1× 622 2.0× 241 0.9× 211 0.9× 439 2.1× 57 1.5k
D. Posa Italy 20 820 1.7× 292 0.9× 261 1.0× 345 1.5× 164 0.8× 54 1.2k
Diane L. Evans United States 20 472 1.0× 190 0.6× 166 0.6× 13 0.1× 347 1.7× 56 1.7k
Jonathan Stroud United States 17 147 0.3× 150 0.5× 156 0.6× 287 1.2× 124 0.6× 35 1.1k

Countries citing papers authored by Gardar Johannesson

Since Specialization
Citations

This map shows the geographic impact of Gardar Johannesson'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 Gardar Johannesson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gardar Johannesson more than expected).

Fields of papers citing papers by Gardar Johannesson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gardar Johannesson. 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 Gardar Johannesson. The network helps show where Gardar Johannesson may publish in the future.

Co-authorship network of co-authors of Gardar Johannesson

This figure shows the co-authorship network connecting the top 25 collaborators of Gardar Johannesson. A scholar is included among the top collaborators of Gardar Johannesson 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 Gardar Johannesson. Gardar Johannesson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
1.
Sansó, Bruno, et al.. (2017). Sensitivity Analysis and Emulation for Functional Data using Bayesian Adaptive Splines. Statistica Sinica. 17 indexed citations
2.
Myers, Stephen C., N. A. Simmons, Gardar Johannesson, & E. Matzel. (2015). Improved Regional and TeleseismicP‐Wave Travel‐Time Prediction and Event Location Using a Global 3D Velocity Model. Bulletin of the Seismological Society of America. 105(3). 1642–1660. 23 indexed citations
3.
Qian, Yun, Huiping Yan, Zhangshuan Hou, et al.. (2015). Parametric sensitivity analysis of precipitation at global and local scales in the Community Atmosphere Model CAM5. Journal of Advances in Modeling Earth Systems. 7(2). 382–411. 84 indexed citations
4.
Santer, Benjamin D., Susan Solomon, C. Bonfils, et al.. (2014). Observed multivariable signals of late 20th and early 21st century volcanic activity. Geophysical Research Letters. 42(2). 500–509. 47 indexed citations
5.
Maljovec, Dan, et al.. (2012). ADAPTIVE SAMPLING WITH TOPOLOGICAL SCORES. International Journal for Uncertainty Quantification. 3(2). 119–141. 6 indexed citations
6.
Myers, Stephen C., Gardar Johannesson, Douglas A. Dodge, & N. A. Simmons. (2011). Combining Analyst and Waveform-Correlation-Based Arrival Time Measurements in the Bayesloc Multiple-Event Location Algorithm. AGU Fall Meeting Abstracts. 2011. 1 indexed citations
7.
Myers, Stephen C., Gardar Johannesson, & N. A. Simmons. (2010). Bayesloc Multiple-Event Location Applied to a Global Data Set. EGU General Assembly Conference Abstracts. 5611. 1 indexed citations
8.
Myers, Stephen C., Gardar Johannesson, & William G. Hanley. (2009). Incorporation of probabilistic seismic phase labels into a Bayesian multiple-event seismic locator. Geophysical Journal International. 177(1). 193–204. 56 indexed citations
9.
Monache, Luca Delle, Julie K. Lundquist, Branko Kosović, et al.. (2008). Bayesian Inference and Markov Chain Monte Carlo Sampling to Reconstruct a Contaminant Source on a Continental Scale. Journal of Applied Meteorology and Climatology. 47(10). 2600–2613. 80 indexed citations
10.
Cressie, Noel & Gardar Johannesson. (2008). Fixed Rank Kriging for Very Large Spatial Data Sets. Journal of the Royal Statistical Society Series B (Statistical Methodology). 70(1). 209–226. 636 indexed citations breakdown →
11.
Johannesson, Gardar, Jeffrey Stewart, Christopher D. Barr, et al.. (2008). Adapting Existing Spatial Data Sets to New Uses: An Example from Energy Modeling. Journal of Map & Geography Libraries. 4(2). 285–295.
12.
Myers, Stephen C., Gardar Johannesson, & William G. Hanley. (2007). A Bayesian hierarchical method for multiple-event seismic location. Geophysical Journal International. 171(3). 1049–1063. 99 indexed citations
13.
Johannesson, Gardar, Noel Cressie, & Hsin‐Cheng Huang. (2007). Dynamic multi-resolution spatial models. Environmental and Ecological Statistics. 14(1). 5–25. 35 indexed citations
14.
Cressie, Noel & Gardar Johannesson. (2006). Spatial prediction for massive datasets. Research Online (University of Wollongong). 1. 18 indexed citations
15.
Johannesson, Gardar, William G. Hanley, Branko Kosović, et al.. (2006). Sequential Monte-Carlo Framework for Dynamic Data-Driven Event Reconstruction for Atmospheric Release. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 68. 144–147. 4 indexed citations
16.
Cressie, Noel, et al.. (2003). A spatial-temporal statistical approach to problems in command and control. Research Online (University of Wollongong). 170. 1 indexed citations
17.
Johannesson, Gardar. (2003). Multi-Resolution Statistical Modeling in Space and Time With Application to Remote Sensing of the Environment. OhioLink ETD Center (Ohio Library and Information Network). 1 indexed citations
18.
Irwin, Mark, Noel Cressie, & Gardar Johannesson. (2002). Spatial-temporal nonlinear filtering based on hierarchical statistical models. Test. 11(2). 249–302. 6 indexed citations
19.
Cressie, Noel, et al.. (2001). <title>Spatial-temporal statistical approach to command and control problems in battlespace digitization</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4396. 232–243.

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.

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