John Harlim
Impact in
- Atmospheric Science top 2%
- Meteorological Phenomena and Simulations
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- Model Reduction and Neural Networks
Papers in
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- Model Reduction and Neural Networks 35
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- Meteorological Phenomena and Simulations 35
- Co-authors
- Andrew J. Majda (15 shared papers)Brian R. Hunt (7 shared papers)Tyrus Berry (9 shared papers)Boris Gershgorin (3 shared papers)Dimitrios Giannakis (3 shared papers)Elana Judith Fertig (2 shared papers)Adam Mahdi (1 shared paper)Haizhao Yang (4 shared papers)
- Journals
- Journal of Computational Physics (17 papers)Tellus A Dynamic Meteorology and Oceanography (6 papers)Physica D Nonlinear Phenomena (5 papers)Applied and Computational Harmonic Analysis (4 papers)Monthly Weather Review (4 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
John Harlim
76 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 66
- Atmospheric Science 804
- Statistical and Nonlinear Physics 637
- Oceanography 233
- Artificial Intelligence 350
- Mathematical Physics 110
Countries citing papers authored by John Harlim
This map shows the geographic impact of John Harlim'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 John Harlim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Harlim more than expected).
Fields of papers citing papers by John Harlim
This network shows the impact of papers produced by John Harlim. 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 John Harlim. The network helps show where John Harlim may publish in the future.
Co-authors
The 25 scholars most cited alongside John Harlim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 185 | |
| 2 | 2012 | 116 | |
| 3 | 2006 | 103 | |
| 4 | 2015 | 79 | |
| 5 | 2013 | 64 | |
| 6 | 2008 | 60 | |
| 7 | 2010 | 60 | |
| 8 | 2009 | 59 | |
| 9 | 2009 | 52 | |
| 10 | 2010 | 52 | |
| 11 | 2020 | 48 | |
| 12 | 2007 | 43 | |
| 13 | 2007 | 37 | |
| 14 | 2009 | 36 | |
| 15 | 2008 | 32 | |
| 16 | 2007 | 31 | |
| 17 | 2008 | 30 | |
| 18 | 2013 | 28 | |
| 19 | 2017 | 27 | |
| 20 | 2005 | 21 |
About John Harlim
John Harlim is a scholar working on Statistical and Nonlinear Physics, Atmospheric Science, Artificial Intelligence, Oceanography and Mathematical Physics, having authored 76 papers that have together received 1.6k indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (35 papers), Meteorological Phenomena and Simulations (35 papers), Target Tracking and Data Fusion in Sensor Networks (14 papers), Oceanographic and Atmospheric Processes (9 papers), Control Systems and Identification (6 papers), Topological and Geometric Data Analysis (6 papers), Gaussian Processes and Bayesian Inference (6 papers) and Advanced Numerical Methods in Computational Mathematics (5 papers). The work is most often cited by research in Atmospheric Science (804 citations), Statistical and Nonlinear Physics (637 citations), Oceanography (233 citations), Artificial Intelligence (350 citations) and Mathematical Physics (110 citations). John Harlim has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Andrew J. Majda, Brian R. Hunt, Tyrus Berry, Boris Gershgorin, Dimitrios Giannakis, Elana Judith Fertig, Adam Mahdi, Haizhao Yang, Emily Lei Kang and Senwei Liang. Their work appears in journals such as Journal of Computational Physics, Tellus A Dynamic Meteorology and Oceanography, Physica D Nonlinear Phenomena, Applied and Computational Harmonic Analysis and Monthly Weather Review.
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.