Chris E. Forest

4.7k total citations
68 papers, 2.9k citations indexed

About

Chris E. Forest is a scholar working on Global and Planetary Change, Atmospheric Science and Economics and Econometrics. According to data from OpenAlex, Chris E. Forest has authored 68 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Global and Planetary Change, 39 papers in Atmospheric Science and 12 papers in Economics and Econometrics. Recurrent topics in Chris E. Forest's work include Climate variability and models (41 papers), Atmospheric and Environmental Gas Dynamics (27 papers) and Meteorological Phenomena and Simulations (21 papers). Chris E. Forest is often cited by papers focused on Climate variability and models (41 papers), Atmospheric and Environmental Gas Dynamics (27 papers) and Meteorological Phenomena and Simulations (21 papers). Chris E. Forest collaborates with scholars based in United States, United Kingdom and Tunisia. Chris E. Forest's co-authors include Andrei Sokolov, Peter H. Stone, Péter Molnár, Mort Webster, Jack A. Wolfe, Myles Allen, Ronald G. Prinn, John M. Reilly, Armen R. Kemanian and Kerry Emanuel and has published in prestigious journals such as Nature, Science and Nature Communications.

In The Last Decade

Chris E. Forest

65 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris E. Forest United States 28 1.5k 1.2k 506 328 281 68 2.9k
Pushker Kharecha United States 17 1.0k 0.7× 1.0k 0.8× 330 0.7× 80 0.2× 287 1.0× 25 3.3k
Philip B. Holden United Kingdom 27 618 0.4× 658 0.5× 554 1.1× 146 0.4× 163 0.6× 88 2.7k
Leon J. Clarke United Kingdom 25 512 0.3× 740 0.6× 240 0.5× 75 0.2× 262 0.9× 57 2.4k
Gareth S. Jones United Kingdom 28 4.1k 2.7× 3.4k 2.8× 257 0.5× 262 0.8× 605 2.2× 50 5.3k
Frøde Stordal Norway 45 4.3k 2.8× 4.7k 3.9× 233 0.5× 225 0.7× 224 0.8× 170 6.3k
Manoj Joshi United Kingdom 39 3.7k 2.4× 3.2k 2.7× 246 0.5× 296 0.9× 638 2.3× 137 5.8k
David A. Stainforth United Kingdom 30 4.1k 2.7× 2.8k 2.3× 587 1.2× 494 1.5× 342 1.2× 67 5.8k
A. Kattenberg Netherlands 6 1.9k 1.2× 1.6k 1.3× 295 0.6× 200 0.6× 394 1.4× 15 3.6k
Manfred A. Lange Germany 35 1.3k 0.8× 2.1k 1.7× 80 0.2× 249 0.8× 588 2.1× 114 4.6k
S. Lebedeff United States 12 2.5k 1.6× 2.3k 1.9× 191 0.4× 115 0.4× 503 1.8× 24 4.0k

Countries citing papers authored by Chris E. Forest

Since Specialization
Citations

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

Fields of papers citing papers by Chris E. Forest

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chris E. Forest. 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 Chris E. Forest. The network helps show where Chris E. Forest may publish in the future.

Co-authorship network of co-authors of Chris E. Forest

This figure shows the co-authorship network connecting the top 25 collaborators of Chris E. Forest. A scholar is included among the top collaborators of Chris E. Forest 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 Chris E. Forest. Chris E. Forest 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.
Morris, Jennifer, Andrei Sokolov, John Reilly, et al.. (2025). Quantifying both socioeconomic and climate uncertainty in coupled human–Earth systems analysis. Nature Communications. 16(1). 2703–2703. 1 indexed citations
2.
Forest, Chris E., et al.. (2025). Discrepancies in precipitation trends between observational and reanalysis datasets in the Amazon Basin. Scientific Reports. 15(1). 7268–7268. 5 indexed citations
3.
Papakonstantinou, Konstantinos G., et al.. (2025). Optimal life-cycle adaptation of coastal infrastructure under climate change. Nature Communications. 16(1). 1076–1076. 3 indexed citations
4.
Sherwood, Steven C. & Chris E. Forest. (2024). Opinion: Can uncertainty in climate sensitivity be narrowed further?. Atmospheric chemistry and physics. 24(4). 2679–2686. 2 indexed citations
5.
6.
Snyder, G. Jeffrey, Saniya LeBlanc, Herschel C. Pangborn, et al.. (2021). Distributed and localized cooling with thermoelectrics. Joule. 5(4). 748–751. 55 indexed citations
7.
Forest, Chris E., et al.. (2018). Baseline evaluation of the impact of updates to the MIT Earth System Model on its model parameter estimates. Geoscientific model development. 11(8). 3313–3325. 6 indexed citations
8.
Forest, Chris E., et al.. (2018). Estimates of climate system properties incorporating recent climate change. SHILAP Revista de lepidopterología. 4(1/2). 19–36. 6 indexed citations
9.
Shaffer, Gary, David Pollard, Yawen Guan, et al.. (2017). Assessing the Impact of Retreat Mechanisms in a Simple Antarctic Ice Sheet Model Using Bayesian Calibration. PLoS ONE. 12(1). e0170052–e0170052. 24 indexed citations
10.
Forest, Chris E., et al.. (2017). Assessing the contribution of internal climate variability to anthropogenic changes in ice sheet volume. Geophysical Research Letters. 44(12). 6261–6268. 13 indexed citations
11.
Garner, Gregory G., et al.. (2017). Deep Uncertainties in Sea‐Level Rise and Storm Surge Projections: Implications for Coastal Flood Risk Management. Risk Analysis. 40(1). 153–168. 49 indexed citations
12.
Gleckler, Peter J., Paul J. Durack, Ronald J. Stouffer, Gregory C. Johnson, & Chris E. Forest. (2016). Industrial-era global ocean heat uptake doubles in recent decades. Nature Climate Change. 6(4). 394–398. 108 indexed citations
13.
Forest, Chris E., et al.. (2014). Estimating the regional climate responses over river basins to changes in tropical sea surface temperature patterns. Climate Dynamics. 45(7-8). 1965–1982. 5 indexed citations
14.
Monier, Erwan, Jeffery R. Scott, Andrei Sokolov, Chris E. Forest, & C. Adam Schlosser. (2013). An integrated assessment modeling framework for uncertainty studies in global and regional climate change: the MIT IGSM-CAM (version 1.0). Geoscientific model development. 6(6). 2063–2085. 46 indexed citations
15.
Forest, Chris E., et al.. (2011). Sensitivity of distributions of climate system properties to the surface temperature dataset. Geophysical Research Letters. 38(22). n/a–n/a. 17 indexed citations
16.
Sarofim, Marcus C., Chris E. Forest, David Reiner, & John M. Reilly. (2005). Stabilization and global climate policy. Global and Planetary Change. 47(2-4). 266–272. 17 indexed citations
17.
Forest, Chris E., Douglas Nychka, Bruno Sansó, & Claudio Tebaldi. (2003). Towards a rigorous MCMC estimation of PDFs of Climate System Properties.. AGU Fall Meeting Abstracts. 2003.
18.
Forest, Chris E., et al.. (2003). Uncertainty analysis of climate change and policy response. DSpace@MIT (Massachusetts Institute of Technology). 7086. 5 indexed citations
19.
Sokolov, Andrei, Chris E. Forest, & Peter H. Stone. (2003). Comparing Oceanic Heat Uptake in AOGCM Transient Climate Change Experiments. Journal of Climate. 16(10). 1573–1582. 45 indexed citations
20.
Sokolov, Andrei, Chris E. Forest, & Peter H. Stone. (2001). A comparison of the behavior of different AOGCMs in transient climate change experiments. AGUSM. 2001. 3 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.

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