John Harlim
Impact in
- Atmospheric Science top 5%
- Meteorological Phenomena and Simulations
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- Model Reduction and Neural Networks
Papers in
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- Meteorological Phenomena and Simulations 33
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- Climate variability and models 31
- Atmospheric and Environmental Gas Dynamics 7
- Plant Water Relations and Carbon Dynamics 6
- Co-authors
- Andrew J. Majda (10 shared papers)Tyrus Berry (7 shared papers)Brian R. Hunt (7 shared papers)Elana J. Fertig (2 shared papers)Dimitrios Giannakis (2 shared papers)Adam Mahdi (1 shared paper)Boris Gershgorin (1 shared paper)Haizhao Yang (4 shared papers)
- Journals
- Journal of Computational Physics (13 papers)Tellus A Dynamic Meteorology and Oceanography (6 papers)Monthly Weather Review (4 papers)Physica D Nonlinear Phenomena (4 papers)SIAM Journal on Scientific Computing (2 papers)
- Partner nations
- United StatesChinaSingapore
In The Last Decade
John Harlim
62 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 85
- Atmospheric Science 684
- Statistical and Nonlinear Physics 381
- Global and Planetary Change 577
- Statistics, Probability and Uncertainty 132
- Environmental Engineering 170
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 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 173 | |
| 2 | 2012 | 105 | |
| 3 | 2006 | 99 | |
| 4 | Variable Bandwidth Diffusion Kernels | 2016 | 77 |
| 5 | 2015 | 67 | |
| 6 | 2013 | 59 | |
| 7 | 2010 | 55 | |
| 8 | 2020 | 46 | |
| 9 | 2010 | 46 | |
| 10 | 2007 | 45 | |
| 11 | 2007 | 36 | |
| 12 | 2009 | 35 | |
| 13 | 2007 | 30 | |
| 14 | 2013 | 26 | |
| 15 | 2017 | 21 | |
| 16 | 2005 | 21 | |
| 17 | 2021 | 19 | |
| 18 | 2012 | 19 | |
| 19 | 2016 | 18 | |
| 20 | 2012 | 17 |
About John Harlim
John Harlim is a scholar working on Atmospheric Science, Global and Planetary Change, Statistical and Nonlinear Physics, Artificial Intelligence and Mathematical Physics, having authored 62 papers that have together received 1.3k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (33 papers), Climate variability and models (31 papers), Model Reduction and Neural Networks (9 papers), Atmospheric and Environmental Gas Dynamics (7 papers), Gaussian Processes and Bayesian Inference (7 papers), Plant Water Relations and Carbon Dynamics (6 papers), Probabilistic and Robust Engineering Design (6 papers) and Numerical methods in inverse problems (5 papers). The work is most often cited by research in Atmospheric Science (684 citations), Statistical and Nonlinear Physics (381 citations), Global and Planetary Change (577 citations), Statistics, Probability and Uncertainty (132 citations) and Environmental Engineering (170 citations). John Harlim has collaborated with scholars based in United States, China and Singapore. Frequent co-authors include Andrew J. Majda, Tyrus Berry, Brian R. Hunt, Elana J. Fertig, Dimitrios Giannakis, Adam Mahdi, Boris Gershgorin, Haizhao Yang, Emily L. Kang and Senwei Liang. Their work appears in journals such as Journal of Computational Physics, Tellus A Dynamic Meteorology and Oceanography, Monthly Weather Review, 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.