John Harlim

2.8k citations
60 papers · 1.2k · h-index 18

Impact in

Papers in

John Harlim

60 papers receiving 1.2k citations

Peers

John Harlim
Comparison fields: 5 of 84
  • Atmospheric Science 638
  • Statistical and Nonlinear Physics 355
  • Global and Planetary Change 545
  • Statistics, Probability and Uncertainty 124
  • Environmental Engineering 161
Replace Ilya Timofeyev with:
Ilya Timofeyev United States
Daan Crommelin Netherlands
Rafail V. Abramov United States
Boris Gershgorin United States
Mickaël D. Chekroun United States
Étienne Mémin France
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Citations per field
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Ilya Timofeyev · 1×
Citations per year

Countries citing papers authored by John Harlim

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012166
2 200694
3 201292
4
Variable Bandwidth Diffusion Kernels
201675
5 201565
6 201357
7 201051
8 202046
9 201045
10 200742
11 200735
12 200934
13 200728
14 201325
15 200521
16 201720
17 202118
18 201218
19 201217
20 201816

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 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include Meteorological Phenomena and Simulations (32 papers), Climate variability and models (30 papers), Model Reduction and Neural Networks (9 papers), Gaussian Processes and Bayesian Inference (7 papers), Plant Water Relations and Carbon Dynamics (6 papers), Atmospheric and Environmental Gas 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 (638 citations), Statistical and Nonlinear Physics (355 citations), Global and Planetary Change (545 citations), Statistics, Probability and Uncertainty (124 citations) and Environmental Engineering (161 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 Applied and Computational Harmonic Analysis.

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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