Mark S. Williamson

3.3k total citations · 1 hit paper
39 papers, 1.5k citations indexed

About

Mark S. Williamson is a scholar working on Global and Planetary Change, Atmospheric Science and Artificial Intelligence. According to data from OpenAlex, Mark S. Williamson has authored 39 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Global and Planetary Change, 15 papers in Atmospheric Science and 11 papers in Artificial Intelligence. Recurrent topics in Mark S. Williamson's work include Climate variability and models (21 papers), Quantum Information and Cryptography (9 papers) and Quantum Mechanics and Applications (8 papers). Mark S. Williamson is often cited by papers focused on Climate variability and models (21 papers), Quantum Information and Cryptography (9 papers) and Quantum Mechanics and Applications (8 papers). Mark S. Williamson collaborates with scholars based in United Kingdom, Singapore and France. Mark S. Williamson's co-authors include Peter M. Cox, Vlatko Vedral, Kavan Modi, Tomasz Paterek, Wonmin Son, Chris Huntingford, Femke J. M. M. Nijsse, Timothy M. Lenton, Sebastian Bathiany and J. G. Shepherd and has published in prestigious journals such as Nature, Physical Review Letters and Nature Communications.

In The Last Decade

Mark S. Williamson

37 papers receiving 1.5k citations

Hit Papers

Unified View of Quantum and Classical Correlations 2010 2026 2015 2020 2010 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark S. Williamson United Kingdom 16 636 616 616 441 113 39 1.5k
Jing Cheng China 23 510 0.8× 971 1.6× 220 0.4× 207 0.5× 25 0.2× 95 2.2k
Greg Kopp United States 25 895 1.4× 78 0.1× 729 1.2× 1.3k 2.9× 169 1.5× 103 2.9k
J. W. Harder United States 34 1.3k 2.0× 65 0.1× 590 1.0× 2.3k 5.3× 133 1.2× 85 3.5k
R. C. Willson United States 20 531 0.8× 38 0.1× 770 1.3× 732 1.7× 230 2.0× 63 2.1k
W. Schmütz Switzerland 35 1.0k 1.6× 51 0.1× 571 0.9× 1.6k 3.7× 143 1.3× 205 3.8k
Peter Ditlevsen Denmark 23 901 1.4× 123 0.2× 30 0.0× 986 2.2× 179 1.6× 71 2.0k
Arthur P. Cracknell United Kingdom 19 647 1.0× 305 0.5× 48 0.1× 521 1.2× 100 0.9× 56 1.9k
Ivan L’Heureux Canada 19 213 0.3× 69 0.1× 99 0.2× 94 0.2× 87 0.8× 54 1.3k
Golan Bel Israel 18 401 0.6× 116 0.2× 50 0.1× 140 0.3× 17 0.2× 43 1.2k
Ran Li China 25 259 0.4× 240 0.4× 84 0.1× 58 0.1× 22 0.2× 134 2.3k

Countries citing papers authored by Mark S. Williamson

Since Specialization
Citations

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

Fields of papers citing papers by Mark S. Williamson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark S. Williamson. 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 Mark S. Williamson. The network helps show where Mark S. Williamson may publish in the future.

Co-authorship network of co-authors of Mark S. Williamson

This figure shows the co-authorship network connecting the top 25 collaborators of Mark S. Williamson. A scholar is included among the top collaborators of Mark S. Williamson 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 Mark S. Williamson. Mark S. Williamson 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.
Williamson, Mark S., et al.. (2024). Machine Learning for Global Bioclimatic Classification: Enhancing Land Cover Prediction through Random Forests. Atmosphere. 15(6). 700–700. 3 indexed citations
2.
Cox, Peter M., Mark S. Williamson, Pierre Friedlingstein, et al.. (2024). Emergent constraints on carbon budgets as a function of global warming. Nature Communications. 15(1). 1885–1885. 14 indexed citations
3.
Abrams, Jesse F., Chris Huntingford, Mark S. Williamson, et al.. (2023). Committed Global Warming Risks Triggering Multiple Climate Tipping Points. Earth s Future. 11(11). 14 indexed citations
4.
Huntingford, Chris, et al.. (2023). Emergent constraints for the climate system as effective parameters of bulk differential equations. Earth System Dynamics. 14(2). 433–442. 5 indexed citations
5.
Cox, Peter M., et al.. (2023). Bioclimatic change as a function of global warming from CMIP6 climate projections. Biogeosciences. 20(2). 451–488. 5 indexed citations
6.
Nijsse, Femke J. M. M., Peter M. Cox, & Mark S. Williamson. (2020). Emergent constraints on transient climate response (TCR) and equilibrium climate sensitivity (ECS) from historical warming in CMIP5 and CMIP6 models. Earth System Dynamics. 11(3). 737–750. 128 indexed citations
7.
Nijsse, Femke J. M. M., Peter M. Cox, & Mark S. Williamson. (2020). An emergent constraint on Transient Climate Response from simulated historical warming in CMIP6 models. 13 indexed citations
8.
Williamson, Mark S., Peter M. Cox, & Femke J. M. M. Nijsse. (2019). Theoretical foundations of emergent constraints: relationships between climate sensitivity and global temperature variability in conceptual models. Open Research Exeter (University of Exeter). 15 indexed citations
9.
Cox, Peter M., Mark S. Williamson, Femke J. M. M. Nijsse, & Chris Huntingford. (2018). Cox et al. reply. Nature. 563(7729). E10–E15. 11 indexed citations
10.
Cox, Peter M., Chris Huntingford, & Mark S. Williamson. (2018). Emergent constraint on equilibrium climate sensitivity from global temperature variability. Nature. 553(7688). 319–322. 233 indexed citations
11.
Bathiany, Sebastian, Bregje van der Bolt, Mark S. Williamson, et al.. (2016). Statistical indicators of Arctic sea-ice stability – prospects and limitations. ˜The œcryosphere. 10(4). 1631–1645. 20 indexed citations
12.
Williamson, Mark S., Sebastian Bathiany, & Timothy M. Lenton. (2016). Early warning signals of tipping points in periodically forced systems. Earth System Dynamics. 7(2). 313–326. 27 indexed citations
13.
Bathiany, Sebastian, Henk A. Dijkstra, Michel Crucifix, et al.. (2016). Beyond bifurcation: using complex models to understand and predict abrupt climate change. Socio-Environmental Systems Modeling. dzw004–dzw004. 24 indexed citations
14.
Williamson, Mark S. & Timothy M. Lenton. (2015). Detection of bifurcations in noisy coupled systems from multiple time series. Chaos An Interdisciplinary Journal of Nonlinear Science. 25(3). 36407–36407. 20 indexed citations
15.
Modi, Kavan, Mark S. Williamson, Hugo Cable, & Vlatko Vedral. (2010). The role of entanglement, quantum discord, and classical correlations in mixed-state metrology. arXiv (Cornell University). 2 indexed citations
16.
Modi, Kavan, Mark S. Williamson, Hugo Cable, & Vlatko Vedral. (2010). Entanglement versus classical correlations in quantum metrology with thermal states. arXiv (Cornell University). 4 indexed citations
17.
Williamson, Mark S., et al.. (2010). Violation of multipartite Bell inequalities with classical subsystems via operationally local transformations. Physical Review A. 82(3). 1 indexed citations
18.
Modi, Kavan, Tomasz Paterek, Wonmin Son, Vlatko Vedral, & Mark S. Williamson. (2009). Relative entropy of quantum and classical correlations. arXiv (Cornell University). 1 indexed citations
19.
Lunt, Daniel J., Mark S. Williamson, Paul J. Valdes, Timothy M. Lenton, & Robert Marsh. (2006). Comparing transient, accelerated, and equilibrium simulations of the last 30 000 years with the GENIE-1 model. Climate of the past. 2(2). 221–235. 29 indexed citations
20.
Williamson, Mark S., et al.. (1995). Laser beam welding and formability of tailored banks. Welding Journal. 74(10). 16 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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