David Masson

1.8k total citations · 1 hit paper
9 papers, 1.3k citations indexed

About

David Masson is a scholar working on Atmospheric Science, Global and Planetary Change and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, David Masson has authored 9 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Atmospheric Science, 7 papers in Global and Planetary Change and 1 paper in Ecology, Evolution, Behavior and Systematics. Recurrent topics in David Masson's work include Climate variability and models (7 papers), Meteorological Phenomena and Simulations (6 papers) and Cryospheric studies and observations (3 papers). David Masson is often cited by papers focused on Climate variability and models (7 papers), Meteorological Phenomena and Simulations (6 papers) and Cryospheric studies and observations (3 papers). David Masson collaborates with scholars based in Switzerland, Austria and Finland. David Masson's co-authors include Reto Knutti, Andrew Gettelman, Jürg Schönenberger, Yannick M. Staedler, Christoph Frei, Philippe Schmitz, Dominique d’Humières, Hervé Duval, Jussi Ylhäisi and Heikki Järvinen and has published in prestigious journals such as PLoS ONE, Journal of Climate and Geophysical Research Letters.

In The Last Decade

David Masson

9 papers receiving 1.2k citations

Hit Papers

Climate model genealogy: Generation CMIP5 and how we got ... 2013 2026 2017 2021 2013 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
David Masson Switzerland 8 973 706 176 157 95 9 1.3k
Tannecia S. Stephenson Jamaica 20 1.0k 1.1× 858 1.2× 116 0.7× 192 1.2× 92 1.0× 45 1.5k
Friedrich‐Wilhelm Gerstengarbe Germany 18 709 0.7× 426 0.6× 165 0.9× 129 0.8× 120 1.3× 42 1.1k
Robert W. Lee United Kingdom 20 1.2k 1.2× 996 1.4× 125 0.7× 98 0.6× 56 0.6× 30 1.7k
Xiaoge Xin China 15 1.4k 1.5× 1.2k 1.7× 190 1.1× 136 0.9× 35 0.4× 49 1.7k
Lukas Brunner Switzerland 14 1.1k 1.1× 799 1.1× 150 0.9× 111 0.7× 69 0.7× 28 1.3k
Richard Turner New Zealand 15 526 0.5× 451 0.6× 148 0.8× 75 0.5× 70 0.7× 39 998
Tereza Cavazos Mexico 23 1.3k 1.3× 1.1k 1.6× 136 0.8× 102 0.6× 73 0.8× 50 1.7k
Minoru Chikira Japan 9 1.2k 1.3× 1.1k 1.5× 140 0.8× 125 0.8× 61 0.6× 11 1.5k
Fergus Reig Spain 12 1.7k 1.8× 531 0.8× 373 2.1× 306 1.9× 108 1.1× 25 2.0k

Countries citing papers authored by David Masson

Since Specialization
Citations

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

Fields of papers citing papers by David Masson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Masson

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

All Works

9 of 9 papers shown
1.
Ylhäisi, Jussi, Jouni Räisänen, David Masson, Olle Räty, & Heikki Järvinen. (2015). How does model development affect climate projections?. Atmospheric Science Letters. 16(3). 414–419. 4 indexed citations
2.
Masson, David & Christoph Frei. (2015). Long-term variations and trends of mesoscale precipitation in the Alps: recalculation and update for 1901-2008. International Journal of Climatology. 36(1). 492–500. 34 indexed citations
3.
Masson, David & Christoph Frei. (2014). Spatial analysis of precipitation in a high-mountain region: exploring methods with multi-scale topographic predictors and circulation types. Hydrology and earth system sciences. 18(11). 4543–4563. 48 indexed citations
4.
Staedler, Yannick M., David Masson, & Jürg Schönenberger. (2013). Plant Tissues in 3D via X-Ray Tomography: Simple Contrasting Methods Allow High Resolution Imaging. PLoS ONE. 8(9). e75295–e75295. 135 indexed citations
5.
Knutti, Reto, David Masson, & Andrew Gettelman. (2013). Climate model genealogy: Generation CMIP5 and how we got there. Geophysical Research Letters. 40(6). 1194–1199. 652 indexed citations breakdown →
6.
Masson, David & Reto Knutti. (2012). Predictor Screening, Calibration, and Observational Constraints in Climate Model Ensembles: An Illustration Using Climate Sensitivity. Journal of Climate. 26(3). 887–898. 28 indexed citations
7.
Masson, David & Reto Knutti. (2011). Climate model genealogy. Geophysical Research Letters. 38(8). n/a–n/a. 265 indexed citations
8.
Masson, David & Reto Knutti. (2011). Spatial-Scale Dependence of Climate Model Performance in the CMIP3 Ensemble. Journal of Climate. 24(11). 2680–2692. 73 indexed citations
9.
Duval, Hervé, et al.. (2005). Two‐dimensional lattice–Boltzmann model of hydrosol depth filtration. AIChE Journal. 52(1). 39–48. 12 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