John Harlim

2.7k total citations
59 papers, 1.2k citations indexed

About

John Harlim is a scholar working on Atmospheric Science, Global and Planetary Change and Statistical and Nonlinear Physics. According to data from OpenAlex, John Harlim has authored 59 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Atmospheric Science, 31 papers in Global and Planetary Change and 15 papers in Statistical and Nonlinear Physics. Recurrent topics in John Harlim's work include Meteorological Phenomena and Simulations (32 papers), Climate variability and models (30 papers) and Model Reduction and Neural Networks (9 papers). John Harlim is often cited by papers focused on Meteorological Phenomena and Simulations (32 papers), Climate variability and models (30 papers) and Model Reduction and Neural Networks (9 papers). John Harlim collaborates with scholars based in United States, China and Singapore. John Harlim's co-authors include Andrew J. Majda, Tyrus Berry, Brian R. Hunt, Elana J. Fertig, Dimitrios Giannakis, Adam Mahdi, Boris Gershgorin, Emily L. Kang, Haizhao Yang and Senwei Liang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Journal of Computational Physics.

In The Last Decade

John Harlim

57 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Harlim United States	18	636	542	350	214	174	59	1.2k
Daan Crommelin Netherlands	19	507 0.8×	528 1.0×	251 0.7×	96 0.4×	108 0.6×	56	1.1k
Ilya Timofeyev United States	15	410 0.6×	396 0.7×	275 0.8×	68 0.3×	187 1.1×	40	1.1k
Rafail V. Abramov United States	15	291 0.5×	348 0.6×	382 1.1×	74 0.3×	168 1.0×	35	888
Boris Gershgorin United States	17	350 0.6×	331 0.6×	212 0.6×	48 0.2×	122 0.7×	18	723
Pedram Hassanzadeh United States	19	731 1.1×	644 1.2×	182 0.5×	108 0.5×	194 1.1×	60	1.2k
Étienne Mémin France	22	339 0.5×	211 0.4×	161 0.5×	84 0.4×	643 3.7×	72	1.5k
Dacian N. Daescu United States	18	830 1.3×	611 1.1×	158 0.5×	22 0.1×	202 1.2×	31	1.2k
Karthik Kashinath United States	15	285 0.4×	248 0.5×	157 0.4×	104 0.5×	261 1.5×	42	856
François‐Xavier Le Dimet France	20	575 0.9×	435 0.8×	93 0.3×	23 0.1×	345 2.0×	57	1.2k
Robert N. Miller United States	22	1.2k 1.9×	1.0k 1.9×	81 0.2×	158 0.7×	350 2.0×	53	2.2k

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-authorship network of co-authors of John Harlim

This figure shows the co-authorship network connecting the top 25 collaborators of John Harlim. A scholar is included among the top collaborators of John Harlim 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 John Harlim. John Harlim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yin, Yu, John Harlim, Daning Huang, & Yán Li. (2025). Learning coarse-grained dynamics on graph. Physica D Nonlinear Phenomena. 481. 134801–134801. 1 indexed citations

Harlim, John, et al.. (2025). Spectral convergence of symmetrized graph Laplacian on manifolds with boundary. arXiv (Cornell University). 8(0). 119–167.

Liang, Senwei, et al.. (2024). Solving PDEs on unknown manifolds with machine learning. Applied and Computational Harmonic Analysis. 71. 101652–101652. 1 indexed citations

Harlim, John, et al.. (2024). Generalized finite difference method on unknown manifolds. Journal of Computational Physics. 502. 112812–112812. 1 indexed citations

Qi, Di & John Harlim. (2023). A data-driven statistical-stochastic surrogate modeling strategy for complex nonlinear non-stationary dynamics. Journal of Computational Physics. 485. 112085–112085. 5 indexed citations

Giannakis, Dimitrios, et al.. (2021). Kernel-based prediction of non-Markovian time series. Physica D Nonlinear Phenomena. 418. 132829–132829. 17 indexed citations

Chen, Nan, et al.. (2021). A Bayesian Machine Learning Algorithm for Predicting ENSO Using Short Observational Time Series. arXiv (Cornell University). 7 indexed citations

Harlim, John. (2018). Data-driven computational methods parameter and operator estimations. CERN Document Server (European Organization for Nuclear Research). 16 indexed citations

Berry, Tyrus & John Harlim. (2016). Iterated diffusion maps for feature identification. Applied and Computational Harmonic Analysis. 45(1). 84–119. 6 indexed citations

10.

Berry, Tyrus & John Harlim. (2016). Variable Bandwidth Diffusion Kernels. 75 indexed citations

11.

Harlim, John, et al.. (2015). Adaptive error covariances estimation methods for ensemble Kalman filters. Journal of Computational Physics. 294. 619–638. 13 indexed citations

12.

Berry, Tyrus, Dimitrios Giannakis, & John Harlim. (2015). Nonparametric forecasting of low-dimensional dynamical systems. Physical Review E. 91(3). 32915–32915. 65 indexed citations

13.

Harlim, John & Xiantao Li. (2015). Parametric reduced models for the nonlinear Schrödinger equation. Physical Review E. 91(5). 53306–53306. 8 indexed citations

14.

Berry, Tyrus & John Harlim. (2015). Nonparametric Uncertainty Quantification for Stochastic Gradient Flows. SIAM/ASA Journal on Uncertainty Quantification. 3(1). 484–508. 11 indexed citations

15.

Harlim, John. (2013). Data Assimilation with Model Error from Unresolved Scales. arXiv (Cornell University). 3 indexed citations

16.

Gottwald, Georg A. & John Harlim. (2013). The role of additive and multiplicative noise in filtering complex dynamical systems. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 469(2155). 20130096–20130096. 25 indexed citations

17.

Harlim, John, et al.. (2012). Assimilating irregularly spaced sparsely observed turbulent signals with hierarchical Bayesian reduced stochastic filters. Journal of Computational Physics. 235. 143–160. 1 indexed citations

18.

Harlim, John & Brian R. Hunt. (2007). Four-dimensional local ensemble transform Kalman filter: numerical experiments with a global circulation model. Tellus A Dynamic Meteorology and Oceanography. 59(5). 731–731. 41 indexed citations

19.

Bhatt, Sagar, et al.. (2006). Comparative Study of Search Strategies for the Direct Binary Search Image Halftoning Algorithm. Technical programs and proceedings. 22(1). 244–247. 2 indexed citations

20.

Harlim, John, et al.. (2005). Convex Error Growth Patterns in a Global Weather Model. Physical Review Letters. 94(22). 228501–228501. 21 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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