Benjamin M. Sanderson

16.2k total citations · 3 hit papers
93 papers, 8.0k citations indexed

About

Benjamin M. Sanderson is a scholar working on Global and Planetary Change, Atmospheric Science and Economics and Econometrics. According to data from OpenAlex, Benjamin M. Sanderson has authored 93 papers receiving a total of 8.0k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Global and Planetary Change, 43 papers in Atmospheric Science and 20 papers in Economics and Econometrics. Recurrent topics in Benjamin M. Sanderson's work include Climate variability and models (58 papers), Atmospheric and Environmental Gas Dynamics (47 papers) and Meteorological Phenomena and Simulations (28 papers). Benjamin M. Sanderson is often cited by papers focused on Climate variability and models (58 papers), Atmospheric and Environmental Gas Dynamics (47 papers) and Meteorological Phenomena and Simulations (28 papers). Benjamin M. Sanderson collaborates with scholars based in United States, France and United Kingdom. Benjamin M. Sanderson's co-authors include Reto Knutti, Brian C. O’Neill, Claudia Tebaldi, Jean‐François Lamarque, Veronika Eyring, Gerald A. Meehl, Pierre Friedlingstein, G. C. Hurtt, Detlef P. van Vuuren and Elmar Kriegler and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Benjamin M. Sanderson

90 papers receiving 7.9k citations

Hit Papers

The Scenario Model Intercomparison Project (ScenarioMIP) ... 2016 2026 2019 2022 2016 2017 2017 1000 2.0k 3.0k
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
    2016 3.2k citations Claudia Tebaldi, Reto Knutti et al. Geoscientific model development profile →
  2. Precipitation variability increases in a warmer climate
    2017 496 citations Angeline G. Pendergrass, Reto Knutti et al. profile →
  3. A climate model projection weighting scheme accounting for performance and interdependence
    2017 302 citations Reto Knutti, Benjamin M. Sanderson et al. Geophysical Research Letters profile →

Peers

Benjamin M. Sanderson
David M. H. Sexton United Kingdom
Elena Xoplaki Germany
Flavio Lehner United States
Albert Klein Tank Netherlands
Ole B. Christensen Denmark
James M. Murphy United Kingdom
William J. Gutowski United States
T. C. Johns United Kingdom
Erik Kjellström Sweden
Alessandro Dosio Italy
David M. H. Sexton United Kingdom
Benjamin M. Sanderson
Citations per year, relative to Benjamin M. Sanderson Benjamin M. Sanderson (= 1×) peers David M. H. Sexton

Countries citing papers authored by Benjamin M. Sanderson

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin M. Sanderson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benjamin M. Sanderson. 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 Benjamin M. Sanderson. The network helps show where Benjamin M. Sanderson may publish in the future.

Co-authorship network of co-authors of Benjamin M. Sanderson

This figure shows the co-authorship network connecting the top 25 collaborators of Benjamin M. Sanderson. A scholar is included among the top collaborators of Benjamin M. Sanderson 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 Benjamin M. Sanderson. Benjamin M. Sanderson 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.
Dunne, John P., Helene T. Hewitt, Julie M. Arblaster, et al.. (2025). An evolving Coupled Model Intercomparison Project phase 7 (CMIP7) and Fast Track in support of future climate assessment. Geoscientific model development. 18(19). 6671–6700. 1 indexed citations
2.
3.
Pfleiderer, Peter, Thomas L. Frölicher, Chahan M. Kropf, et al.. (2025). Reversal of the impact chain for actionable climate information. Nature Geoscience. 18(1). 10–19. 1 indexed citations
4.
5.
Delport, Dominic, Benjamin M. Sanderson, Rachel Sacks‐Davis, et al.. (2024). A Framework for Assessing the Impact of Outbreak Response Immunization Programs. SHILAP Revista de lepidopterología. 12(4). 73–73. 2 indexed citations
6.
Sandstad, Marit, Borgar Aamaas, Marianne T. Lund, et al.. (2024). CICERO Simple Climate Model (CICERO-SCM v1.1.1) – an improved simple climate model with a parameter calibration tool. Geoscientific model development. 17(17). 6589–6625. 6 indexed citations
7.
Sanderson, Benjamin M., et al.. (2024). Change in Wind Renewable Energy Potential Under Stratospheric Aerosol Injections. Earth s Future. 12(10). 2 indexed citations
8.
Nauels, Alexander, et al.. (2023). The deployment length of solar radiation modification: an interplay of mitigation, net-negative emissions and climate uncertainty. Earth System Dynamics. 14(2). 367–381. 16 indexed citations
9.
Sanderson, Benjamin M.. (2023). Against climate hypocrisy: why the IPCC needs its own net-zero target. Nature. 617(7962). 653–653. 1 indexed citations
10.
Sanderson, Benjamin M., Angeline G. Pendergrass, Charles D. Koven, et al.. (2021). The potential for structural errors in emergent constraints. Earth System Dynamics. 12(3). 899–918. 32 indexed citations
11.
Pannekoucke, Olivier, et al.. (2021). Producing realistic climate data with generative adversarial networks. Nonlinear processes in geophysics. 28(3). 347–370. 20 indexed citations
12.
Aversa, Caterina, Arighno Das, Deborah Enting, et al.. (2020). 765P Predicting survival in urothelial cancer patients after immunotherapy using real-world data. Annals of Oncology. 31. S590–S590. 3 indexed citations
13.
Castruccio, Stefano, et al.. (2019). Reproducing Internal Variability with Few Ensemble Runs. Journal of Climate. 32(24). 8511–8522. 17 indexed citations
14.
Sanderson, Benjamin M.. (2018). Uncertainty Quantification in Multi-Model Ensembles. 4 indexed citations
15.
Wehner, Michael, Dáithí A. Stone, Dann Mitchell, et al.. (2018). Changes in extremely hot days under stabilized 1.5 and 2.0 °C global warming scenarios as simulated by the HAPPI multi-model ensemble. Earth System Dynamics. 9(1). 299–311. 35 indexed citations
16.
Herger, Nadja, Gab Abramowitz, Reto Knutti, et al.. (2018). Selecting a climate model subset to optimise key ensemble properties. Earth System Dynamics. 9(1). 135–151. 110 indexed citations
17.
Lehner, Flavio, Sloan Coats, Thomas F. Stocker, et al.. (2017). Projected drought risk in 1.5°C and 2°C warmer climates. Geophysical Research Letters. 44(14). 7419–7428. 244 indexed citations
18.
Baker, Allison H., Dorit Hammerling, Sheri Mickelson, et al.. (2016). Evaluating lossy data compression on climate simulation data within a large ensemble. Geoscientific model development. 9(12). 4381–4403. 46 indexed citations
19.
Baker, Allison H., Dorit Hammerling, Haiying Xu, et al.. (2016). Evaluating Lossy Data Compression on Climate Simulation Datawithin a Large Ensemble. 5 indexed citations
20.
Sanderson, Benjamin M., Claudia Tebaldi, Reto Knutti, & Keith W. Oleson. (2014). A new large initial condition ensemble to assess avoided impacts in a climate mitigation scenario. AGU Fall Meeting Abstracts. 2014. 2 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

Breakdown of academic impact, for papers by David M. H. Sexton Breakdown of academic impact, for papers by Elena Xoplaki Breakdown of academic impact, for papers by Flavio Lehner Breakdown of academic impact, for papers by Albert Klein Tank Breakdown of academic impact, for papers by Ole B. Christensen Breakdown of academic impact, for papers by James M. Murphy Breakdown of academic impact, for papers by William J. Gutowski Breakdown of academic impact, for papers by T. C. Johns Breakdown of academic impact, for papers by Erik Kjellström Breakdown of academic impact, for papers by Alessandro Dosio
Rankless by CCL
2026