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Erik M. Bollt

Affiliations: 
Clarkson University, Potsdam, NY, United States 
Area:
Mathematics
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"Erik Bollt"
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Parents

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James D. Meiss grad student

Children

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Abd AlRahman Rasheed AlMomani grad student 2015- Clarkson University
James P. Bagrow grad student 2008 Clarkson University
Naratip Santitissadeekorn grad student 2008 Clarkson University
James P Bagrow grad student 2004-2008 Clarkson University
Jiongxuan Zheng grad student 2012 Clarkson University
Sean J. Kramer grad student 2013 Clarkson University
Ranil K. Basnayake grad student 2014 Clarkson University

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Publications

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Diggans CT, Bollt EM, Ben-Avraham D. (2022) Spanning trees of recursive scale-free graphs. Physical Review. E. 105: 024312
Surasinghe S, Bollt EM. (2020) On Geometry of Information Flow for Causal Inference. Entropy (Basel, Switzerland). 22
Diggans CT, Bollt EM, Ben-Avraham D. (2020) Stochastic and mixed flower graphs. Physical Review. E. 101: 052315
Dietrich F, Kooshkbaghi M, Bollt EM, et al. (2020) Manifold learning for organizing unstructured sets of process observations. Chaos (Woodbury, N.Y.). 30: 043108
AlMomani AAR, Sun J, Bollt E. (2020) How entropic regression beats the outliers problem in nonlinear system identification. Chaos (Woodbury, N.Y.). 30: 013107
Santitissadeekorn N, Bollt EM. (2020) Ensemble-based method for the inverse Frobenius–Perron operator problem: Data-driven global analysis from spatiotemporal “Movie” data Physica D: Nonlinear Phenomena. 411: 132603
Runge J, Bathiany S, Bollt E, et al. (2019) Inferring causation from time series in Earth system sciences. Nature Communications. 10: 2553
Gajamannage K, Paffenroth R, Bollt EM. (2019) A nonlinear dimensionality reduction framework using smooth geodesics Pattern Recognition. 87: 226-236
Bagrow JP, Bollt EM. (2019) An information-theoretic, all-scales approach to comparing networks Applied Network Science. 4
Kemeth FP, Haugland SW, Dietrich F, et al. (2018) An Emergent Space for Distributed Data with Hidden Internal Order through Manifold Learning. Ieee Access : Practical Innovations, Open Solutions. 6: 77402-77413
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