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.
A model intercomparison of changes in the Atlantic thermohaline circulation in response to increasing atmospheric CO2 concentration
2005501 citationsIgor Kamenkovich, Andrei Sokolov et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Andrei Sokolov
Since
Specialization
Citations
This map shows the geographic impact of Andrei Sokolov'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 Andrei Sokolov with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrei Sokolov more than expected).
This network shows the impact of papers produced by Andrei Sokolov. 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 Andrei Sokolov. The network helps show where Andrei Sokolov may publish in the future.
Co-authorship network of co-authors of Andrei Sokolov
This figure shows the co-authorship network connecting the top 25 collaborators of Andrei Sokolov.
A scholar is included among the top collaborators of Andrei Sokolov 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 Andrei Sokolov. Andrei Sokolov is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Morris, Jennifer, Andrei Sokolov, John M. Reilly, & Sergey Paltsev. (2018). Uncertainty in Coupled Human-Earth Systems and the Cost of Meeting 2°C and 1.5°C. 2018.1 indexed citations
Sokolov, Andrei, Sergey Paltsev, Henry Chen, & Erwan Monier. (2016). Climate Impacts of the Paris Agreement. EGU General Assembly Conference Abstracts.3 indexed citations
Monier, Erwan, et al.. (2014). A framework for modeling uncertainty in regional climate change. DSpace@MIT (Massachusetts Institute of Technology).2 indexed citations
13.
Paltsev, Sergey, Erwan Monier, John Reilly, Jeffery R. Scott, & Andrei Sokolov. (2013). Integrated economic and climate projections for impact assessment. DSpace@MIT (Massachusetts Institute of Technology).5 indexed citations
Kicklighter, D. W., Angelo Gurgel, J. M. Melillo, et al.. (2008). Unintended Environmental Consequences of a Global Biofuels Program. AGU Fall Meeting Abstracts. 2008.7 indexed citations
16.
Stone, Peter H., et al.. (2004). Sensitivity of Climate to Diapycnal Diffusivity: Part I. Equilibrium State; Part II. Global Warming Scenario. DSpace@MIT (Massachusetts Institute of Technology).1 indexed citations
17.
Kamenkovich, Igor, Andrei Sokolov, & Peter H. Stone. (2003). Feedbacks affecting the response of the thermohaline circulation to increasing CO 2: A study with a model of intermediate complexity. Bulletin of the American Meteorological Society. 1089–4041.3 indexed citations
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.