N. Benjamin Erichson

1.2k total citations
21 papers, 497 citations indexed

About

N. Benjamin Erichson is a scholar working on Computational Mechanics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, N. Benjamin Erichson has authored 21 papers receiving a total of 497 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computational Mechanics, 7 papers in Artificial Intelligence and 6 papers in Statistical and Nonlinear Physics. Recurrent topics in N. Benjamin Erichson's work include Sparse and Compressive Sensing Techniques (6 papers), Model Reduction and Neural Networks (6 papers) and Stochastic Gradient Optimization Techniques (3 papers). N. Benjamin Erichson is often cited by papers focused on Sparse and Compressive Sensing Techniques (6 papers), Model Reduction and Neural Networks (6 papers) and Stochastic Gradient Optimization Techniques (3 papers). N. Benjamin Erichson collaborates with scholars based in United States, United Kingdom and Israel. N. Benjamin Erichson's co-authors include J. Nathan Kutz, Steven L. Brunton, Michael W. Mahoney, Lionel Mathelin, Zhewei Yao, Carl Donovan, Peng Zheng, Krithika Manohar, Aleksandr Y. Aravkin and Sergey Voronin and has published in prestigious journals such as PLoS ONE, Water Resources Research and Journal of Hydrology.

In The Last Decade

N. Benjamin Erichson

21 papers receiving 478 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
N. Benjamin Erichson United States 10 184 171 89 89 62 21 497
Nikola Kovachki United States 8 97 0.5× 184 1.1× 34 0.4× 137 1.5× 39 0.6× 12 518
Kookjin Lee United States 9 161 0.9× 302 1.8× 27 0.3× 72 0.8× 60 1.0× 26 462
Zongren Zou United States 10 73 0.4× 297 1.7× 24 0.3× 160 1.8× 84 1.4× 15 588
Rohit Tripathy United States 5 89 0.5× 243 1.4× 33 0.4× 124 1.4× 47 0.8× 7 584
J. Nathan Kutz United States 2 59 0.3× 115 0.7× 22 0.2× 71 0.8× 34 0.5× 2 352
Zhi-Qin John Xu Zhi-Qin John Xu China 5 101 0.5× 175 1.0× 101 1.1× 133 1.5× 43 0.7× 7 421
Chenxi Wu China 9 127 0.7× 267 1.6× 17 0.2× 88 1.0× 113 1.8× 27 577
Jiawei Li China 11 308 1.7× 292 1.7× 17 0.2× 26 0.3× 155 2.5× 23 670
Alessandro Alla Italy 9 156 0.8× 331 1.9× 14 0.2× 57 0.6× 39 0.6× 27 469

Countries citing papers authored by N. Benjamin Erichson

Since Specialization
Citations

This map shows the geographic impact of N. Benjamin Erichson'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 N. Benjamin Erichson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Benjamin Erichson more than expected).

Fields of papers citing papers by N. Benjamin Erichson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by N. Benjamin Erichson. 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 N. Benjamin Erichson. The network helps show where N. Benjamin Erichson may publish in the future.

Co-authorship network of co-authors of N. Benjamin Erichson

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

All Works

20 of 20 papers shown
1.
Zhang, Lujun, et al.. (2025). A Deep State Space Model for Rainfall‐Runoff Simulations. Water Resources Research. 61(12). 1 indexed citations
2.
3.
Zhang, Lujun, et al.. (2025). A Mass Conservation Relaxed (MCR) LSTM Model for Streamflow Simulation Across CONUS. Water Resources Research. 61(8). 2 indexed citations
4.
Ren, Pu, et al.. (2024). Forecasting high-dimensional spatio-temporal systems from sparse measurements. Machine Learning Science and Technology. 5(4). 45067–45067. 1 indexed citations
5.
Krishnapriyan, Aditi S., Alejandro F. Queiruga, N. Benjamin Erichson, & Michael W. Mahoney. (2023). Learning continuous models for continuous physics. Communications Physics. 6(1). 16 indexed citations
6.
Erichson, N. Benjamin, et al.. (2022). Bootstrapping the operator norm in high dimensions: Error estimation for covariance matrices and sketching. Bernoulli. 29(1). 6 indexed citations
7.
Erichson, N. Benjamin, et al.. (2021). Lipschitz Recurrent Neural Networks. arXiv (Cornell University). 3 indexed citations
8.
Erichson, N. Benjamin, Peng Zheng, Krithika Manohar, et al.. (2020). Sparse Principal Component Analysis via Variable Projection. SIAM Journal on Applied Mathematics. 80(2). 977–1002. 81 indexed citations
9.
Erichson, N. Benjamin, Lionel Mathelin, Zhewei Yao, et al.. (2020). Shallow neural networks for fluid flow reconstruction with limited sensors. Proceedings of the Royal Society A Mathematical Physical and Engineering Sciences. 476(2238). 20200097–20200097. 160 indexed citations
10.
Erichson, N. Benjamin, et al.. (2019). Scalable diagnostics for global atmospheric chemistry using Ristretto library (version 1.0). Geoscientific model development. 12(4). 1525–1539. 5 indexed citations
11.
Erichson, N. Benjamin, et al.. (2019). Randomized Dynamic Mode Decomposition. SIAM Journal on Applied Dynamical Systems. 18(4). 1867–1891. 7 indexed citations
12.
Erichson, N. Benjamin, et al.. (2019). RetinaMatch: Efficient Template Matching of Retina Images for Teleophthalmology. IEEE Transactions on Medical Imaging. 38(8). 1993–2004. 14 indexed citations
13.
Erichson, N. Benjamin, et al.. (2019). Randomized methods to characterize large-scale vortical flow networks. PLoS ONE. 14(11). e0225265–e0225265. 7 indexed citations
14.
Erichson, N. Benjamin, Sergey Voronin, Steven L. Brunton, & J. Nathan Kutz. (2019). Randomized Matrix Decompositions Using R. Journal of Statistical Software. 89(11). 53 indexed citations
15.
Erichson, N. Benjamin, et al.. (2018). Randomized nonnegative matrix factorization. Pattern Recognition Letters. 104. 1–7. 28 indexed citations
16.
17.
Brunton, Steven L., et al.. (2017). Dynamic Mode Decomposition for Background Modeling. 1862–1870. 9 indexed citations
18.
Erichson, N. Benjamin, Steven L. Brunton, & J. Nathan Kutz. (2017). Compressed Singular Value Decomposition for Image and Video Processing. 1880–1888. 18 indexed citations
19.
Erichson, N. Benjamin & Carl Donovan. (2016). Randomized low-rank Dynamic Mode Decomposition for motion detection. Computer Vision and Image Understanding. 146. 40–50. 46 indexed citations
20.
Kutz, J. Nathan, Xing Fu, Steven L. Brunton, & N. Benjamin Erichson. (2015). Multi-resolution Dynamic Mode Decomposition for Foreground/Background Separation and Object Tracking. 921–929. 32 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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