Jay Walter Larson

1.7k citations
62 papers · 1.2k · h-index 14

Impact in

Papers in

Jay Walter Larson

59 papers receiving 1.2k citations

Peers

Jay Walter Larson
Comparison fields: 5 of 83
  • Atmospheric Science 533
  • Information Systems and Management 190
  • Oceanography 306
  • Hardware and Architecture 179
  • Global and Planetary Change 404
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Citations per field
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Citations per year

Countries citing papers authored by Jay Walter Larson

Since Specialization
Citations

This map shows the geographic impact of Jay 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 Jay 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 Jay Walter Larson more than expected).

Fields of papers citing papers by Jay Walter Larson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jay Walter Larson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Walter Larson Line = papers co-authored together Jay Walter Larson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005309
2 2005162
3 2006160
4 200587
5 201259
6 200142
7 200342
8 200532
9 198725
10 200625
11 200122
12
Components, the Common Component Architecture, and the Climate/Weather/Ocean Community
200322
13 200917
14 201115
15 198814
16 200614
17 201314
18 201513
19 199412
20 201511

About Jay Walter Larson

Jay Walter Larson is a scholar working on Computer Networks and Communications, Hardware and Architecture, Atmospheric Science, Global and Planetary Change and Information Systems and Management, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Distributed and Parallel Computing Systems (24 papers), Climate variability and models (19 papers), Meteorological Phenomena and Simulations (19 papers), Parallel Computing and Optimization Techniques (14 papers), Advanced Data Storage Technologies (10 papers), Scientific Computing and Data Management (8 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and Structural Load-Bearing Analysis (5 papers). The work is most often cited by research in Atmospheric Science (533 citations), Information Systems and Management (190 citations), Oceanography (306 citations), Hardware and Architecture (179 citations) and Global and Planetary Change (404 citations). Jay Walter Larson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Robert Jacob, Everest T. Ong, Anthony P Craig, Yun He, Chris H. Q. Ding, David E. Bernholdt, Ricardo Todling, Dick P. Dee, Arlindo da Silva and Felipe Bertrand. Their work appears in journals such as The International Journal of High Performance Computing Applications, Quarterly Journal of the Royal Meteorological Society, Lecture notes in computer science, Physica D Nonlinear Phenomena and SIAM Journal on Scientific Computing.

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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