J. Walter Larson

1.7k total citations
45 papers, 831 citations indexed

About

J. Walter Larson is a scholar working on Computer Networks and Communications, Global and Planetary Change and Atmospheric Science. According to data from OpenAlex, J. Walter Larson has authored 45 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Networks and Communications, 18 papers in Global and Planetary Change and 15 papers in Atmospheric Science. Recurrent topics in J. Walter Larson's work include Distributed and Parallel Computing Systems (16 papers), Climate variability and models (15 papers) and Meteorological Phenomena and Simulations (14 papers). J. Walter Larson is often cited by papers focused on Distributed and Parallel Computing Systems (16 papers), Climate variability and models (15 papers) and Meteorological Phenomena and Simulations (14 papers). J. Walter Larson collaborates with scholars based in United States, Australia and United Kingdom. J. Walter Larson's co-authors include Robert Jacob, Everest Ong, Anthony P Craig, Yun He, Chris Ding, Arlindo da Silva, David E. Bernholdt, Dick Dee, Ricardo Todling and Kostadin Damevski and has published in prestigious journals such as Geophysical Research Letters, Physics Letters A and Quarterly Journal of the Royal Meteorological Society.

In The Last Decade

J. Walter Larson

42 papers receiving 797 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Walter Larson United States 12 424 301 277 221 87 45 831
Rupert Ford United Kingdom 16 587 1.4× 222 0.7× 423 1.5× 112 0.5× 57 0.7× 48 1.1k
Xunqiang Yin China 13 466 1.1× 250 0.8× 553 2.0× 164 0.7× 14 0.2× 52 981
Sophie Valcke France 16 1.0k 2.4× 975 3.2× 537 1.9× 93 0.4× 57 0.7× 37 1.4k
M. Suarez United States 7 323 0.8× 324 1.1× 114 0.4× 68 0.3× 56 0.6× 11 549
John D. Farrara United States 25 952 2.2× 992 3.3× 838 3.0× 84 0.4× 16 0.2× 76 1.7k
Michael N. Levy United States 13 333 0.8× 316 1.0× 217 0.8× 59 0.3× 13 0.1× 23 699
Niels Drost Netherlands 13 145 0.3× 298 1.0× 100 0.4× 174 0.8× 45 0.5× 39 884
Peter Düben United Kingdom 18 944 2.2× 814 2.7× 146 0.5× 97 0.4× 23 0.3× 44 1.4k
Lanning Wang China 17 586 1.4× 497 1.7× 113 0.4× 290 1.3× 21 0.2× 78 1.4k
Jim Edwards United States 12 752 1.8× 738 2.5× 183 0.7× 109 0.5× 21 0.2× 15 1.1k

Countries citing papers authored by J. Walter Larson

Since Specialization
Citations

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

Fields of papers citing papers by J. Walter Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Walter Larson. 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 J. Walter Larson. The network helps show where J. Walter Larson may publish in the future.

Co-authorship network of co-authors of J. Walter Larson

This figure shows the co-authorship network connecting the top 25 collaborators of J. Walter Larson. A scholar is included among the top collaborators of J. Walter Larson 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 J. Walter Larson. J. Walter Larson 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.
Hegland, Markus, et al.. (2015). Fault Tolerant Computation with the Sparse Grid Combination Technique. SIAM Journal on Scientific Computing. 37(3). C331–C353. 5 indexed citations
2.
Larson, J. Walter, et al.. (2013). Automatic Performance Prediction for Load-Balancing Coupled Models. ANU Open Research (Australian National University). 410–417. 3 indexed citations
3.
Valcke, Sophie, V. Balaji, Anthony P Craig, et al.. (2012). Coupling technologies for Earth System Modelling. Geoscientific model development. 5(6). 1589–1596. 48 indexed citations
4.
Larson, J. Walter, et al.. (2012). Dynamic Load Balancing for Malleable Model Coupling. ANU Open Research (Australian National University). 150–157. 1 indexed citations
5.
Larson, J. Walter, et al.. (2012). Malleable Model Coupling with Prediction. ANU Open Research (Australian National University). 360–367. 3 indexed citations
6.
Larson, J. Walter, et al.. (2011). Block-Entropy Analysis of Climate Data. Procedia Computer Science. 4. 1592–1601. 3 indexed citations
7.
Larson, J. Walter. (2010). Can we define climate using information theory?. IOP Conference Series Earth and Environmental Science. 11. 12028–12028. 4 indexed citations
8.
Ong, Everest, et al.. (2008). A Multilingual Programming Model for Coupled Systems. International Journal for Multiscale Computational Engineering. 6(1). 39–51. 4 indexed citations
9.
Larson, J. Walter. (2006). An Update on Cold-formed Steel Framing Standards Development in the United States. 2 indexed citations
10.
Larson, J. Walter. (2006). AISI Codes, Standards, and Design Guides on Cold-Formed Steel Framing. 1–11. 1 indexed citations
11.
LaBoube, Roger A. & J. Walter Larson. (2005). Design Standards for Cold-Formed Steel Framing. International Journal of Steel Structures. 55–62. 3 indexed citations
12.
Bertrand, Felipe, Randall Bramley, Alan Sussman, et al.. (2005). Data Redistribution and Remote Method Invocation in Parallel Component Architectures. 40b–40b. 26 indexed citations
13.
Craig, Anthony P, Robert Jacob, J. Walter Larson, et al.. (2005). CPL6: The New Extensible, High Performance Parallel Coupler for the Community Climate System Model. The International Journal of High Performance Computing Applications. 19(3). 309–327. 81 indexed citations
14.
Larson, J. Walter, Robert Jacob, & Everest Ong. (2005). The Model Coupling Toolkit: A New Fortran90 Toolkit for Building Multiphysics Parallel Coupled Models. The International Journal of High Performance Computing Applications. 19(3). 277–292. 278 indexed citations
15.
Guo, Jing, et al.. (2004). The Computational Complexity and Parallel Scalability of Atmospheric Data Assimilation Algorithms. Journal of Atmospheric and Oceanic Technology. 21(11). 1689–1700. 6 indexed citations
16.
Larson, J. Walter, Boyana Norris, David E. Bernholdt, et al.. (2003). Components, the Common Component Architecture, and the Climate/Weather/Ocean Community. 17 indexed citations
17.
Dee, Dick, et al.. (2001). An adaptive buddy check for observational quality control. Quarterly Journal of the Royal Meteorological Society. 127(577). 2451–2471. 34 indexed citations
18.
Taylor, John, et al.. (1996). The ANU translator: facilitating computer visualization and data analysis of climate model outputs. Environmental Software. 11(1-3). 65–72. 2 indexed citations
19.
Larson, J. Walter & E. R. Tracy. (1988). Spectral averaging of small-amplitude sine-Gordon wave trains. Physical review. A, General physics. 38(9). 4419–4430. 2 indexed citations
20.
Wasserman, M.L., et al.. (1987). The Use of Vectorization and Parallel Processing for Reservoir Simulation. 24 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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