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.
Relaxed Arakawa-Schubert. A Parameterization of Moist Convection for General Circulation Models
This map shows the geographic impact of Max J. Suárez'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 Max J. Suárez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max J. Suárez more than expected).
This network shows the impact of papers produced by Max J. Suárez. 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 Max J. Suárez. The network helps show where Max J. Suárez may publish in the future.
Co-authorship network of co-authors of Max J. Suárez
This figure shows the co-authorship network connecting the top 25 collaborators of Max J. Suárez.
A scholar is included among the top collaborators of Max J. Suárez 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 Max J. Suárez. Max J. Suárez is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Molod, Andrea, Lawrence L. Takacs, Max J. Suárez, & Julio T. Bacmeister. (2015). Development of the GEOS-5 atmospheric general circulation model: evolution from MERRA to MERRA2. Geoscientific model development. 8(5). 1339–1356.861 indexed citations breakdown →
Schubert, Siegfried D., Max J. Suárez, Philip Pegion, Randal D. Koster, & Julio T. Bacmeister. (2004). On the Cause of the 1930s Dust Bowl. Science. 303(5665). 1855–1859.435 indexed citations
Shukla, J., L. Marx, D. A. Paolino, et al.. (2000). Dynamical Seasonal Prediction. Bulletin of the American Meteorological Society. 81(11). 2593–2606.254 indexed citations
Koster, Randal D., Taikan Oki, & Max J. Suárez. (1999). The Offline Validation of Land Surface Models. Journal of the Meteorological Society of Japan Ser II. 77(1B). 257–263.13 indexed citations
16.
Suárez, Max J., et al.. (1998). Design and Performance Analysis of a Massively Parallel Atmospheric General Circulation Model. NASA Technical Reports Server (NASA).1 indexed citations
17.
Suárez, Max J.. (1997). Technical Report Series on Global Modeling and Data Assimilation. NASA STI Repository (National Aeronautics and Space Administration). 3. 15861.97 indexed citations
18.
Suárez, Max J. & Lawrence L. Takacs. (1995). Technical report series on global modeling and data assimilation. Volume 5: Documentation of the AIRES/GEOS dynamical core, version 2. Unknow. 5.13 indexed citations
19.
Suárez, Max J., et al.. (1995). Technical report series on global modeling and data assimilation. Volume 4: Documentation of the Goddard Earth Observing System (GEOS) data assimilation system, version 1. Unknow. 4.36 indexed citations
20.
Held, Isaac M. & Max J. Suárez. (1994). A Proposal for the Intercomparison of the Dynamical Cores of Atmospheric General Circulation Models. Bulletin of the American Meteorological Society. 75(10). 1825–1830.724 indexed citations breakdown →
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.