John F. Lindner

2.0k total citations
71 papers, 1.5k citations indexed

About

John F. Lindner is a scholar working on Statistical and Nonlinear Physics, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, John F. Lindner has authored 71 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Statistical and Nonlinear Physics, 19 papers in Computer Networks and Communications and 17 papers in Artificial Intelligence. Recurrent topics in John F. Lindner's work include stochastic dynamics and bifurcation (25 papers), Nonlinear Dynamics and Pattern Formation (19 papers) and Neural Networks and Applications (10 papers). John F. Lindner is often cited by papers focused on stochastic dynamics and bifurcation (25 papers), Nonlinear Dynamics and Pattern Formation (19 papers) and Neural Networks and Applications (10 papers). John F. Lindner collaborates with scholars based in United States, India and Germany. John F. Lindner's co-authors include William L. Ditto, Adi R. Bulsara, Brian K. Meadows, Mario E. Inchiosa, Yehuda Braiman, Behnam Kia, Mark L. Spano, M. Löcher, Sudeshna Sinha and Vivek Kohar and has published in prestigious journals such as Nature, Physical Review Letters and SHILAP Revista de lepidopterología.

In The Last Decade

John F. Lindner

66 papers receiving 1.5k citations

Peers

John F. Lindner

SNP

CNC

GPC

AMPO

Wolfram Just Germany

Т. Е. Вадивасова Russia

P. Parmananda India

James F. Heagy United States

D. G. Luchinsky United Kingdom

Christian Kuehn Germany

D. J. Mar United States

S. Rajasekar India

Ying-Cheng Lai United States

Nathan Platt United States

Wolfram Just Germany

John F. Lindner

1.6k ×1.3

SNP

1.3k ×1.6

CNC

138 ×0.4

109 ×0.5

GPC

238 ×1.2

AMPO

Citations per year, relative to John F. Lindner John F. Lindner (= 1×) peers Wolfram Just

Countries citing papers authored by John F. Lindner

Since Specialization

Citations

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

Fields of papers citing papers by John F. Lindner

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John F. Lindner. 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 F. Lindner. The network helps show where John F. Lindner may publish in the future.

Co-authorship network of co-authors of John F. Lindner

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

All Works

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20 of 20 papers shown

Lindner, John F., et al.. (2024). Chemistry does general relativity: reaction-diffusion waves can model gravitational lensing. Frontiers in Physics. 11.

Lindner, John F., et al.. (2023). Solving quantum billiard eigenvalue problems with physics-informed machine learning. AIP Advances. 13(8). 1 indexed citations

Choudhary, Anshul, et al.. (2023). Neuronal diversity can improve machine learning for physics and beyond. Scientific Reports. 13(1). 13962–13962. 3 indexed citations

Lindner, John F., et al.. (2021). Geographic tongue as a reaction–diffusion system. Chaos An Interdisciplinary Journal of Nonlinear Science. 31(3). 33118–33118. 5 indexed citations

Miller, Scott T., John F. Lindner, Anshul Choudhary, Sudeshna Sinha, & William L. Ditto. (2021). Negotiating the separatrix with machine learning. Nonlinear Theory and Its Applications IEICE. 12(2). 134–142. 3 indexed citations

Miller, Scott T., John F. Lindner, Anshul Choudhary, Sudeshna Sinha, & William L. Ditto. (2020). The scaling of physics-informed machine learning with data and dimensions. SHILAP Revista de lepidopterología. 5. 100046–100046. 11 indexed citations

Choudhary, Anshul, et al.. (2020). Physics-enhanced neural networks learn order and chaos. Physical review. E. 101(6). 62207–62207. 54 indexed citations

Kohar, Vivek, Behnam Kia, John F. Lindner, & William L. Ditto. (2016). Superlinearly scalable noise robustness of redundant coupled dynamical systems. Physical review. E. 93(3). 32213–32213. 3 indexed citations

Kia, Behnam, John F. Lindner, & William L. Ditto. (2015). Nonlinear dynamics based digital logic and circuits. Frontiers in Computational Neuroscience. 9. 49–49. 17 indexed citations

10.

Lindner, John F., Vivek Kohar, Behnam Kia, et al.. (2015). Strange Nonchaotic Stars. Physical Review Letters. 114(5). 54101–54101. 64 indexed citations

11.

Blaikie, Andrew, et al.. (2014). Order and chaos in the rotation and revolution of two massive line segments. Physical Review E. 89(4). 42917–42917.

12.

Lindner, John F., et al.. (2011). Electronic and mechanical realizations of one-way coupling in one and two dimensions. Physical Review E. 83(3). 37601–37601. 4 indexed citations

13.

Lindner, John F., et al.. (2010). Order and chaos in the rotation and revolution of a line segment and a point mass. Physical Review E. 81(3). 36208–36208. 6 indexed citations

14.

Lindner, John F., et al.. (2010). Tracking the stars, Sun, and Moon to connect with the universe. American Journal of Physics. 78(11). 1128–1131. 1 indexed citations

15.

Lindner, John F., et al.. (2008). Experimental observation of soliton propagation and annihilation in a hydromechanical array of one-way coupled oscillators. PubMed. 78(6). 66604–66604. 7 indexed citations

16.

Lindner, John F., Matthew R. Bennett, & Kurt Wiesenfeld. (2006). Potential energy landscape and finite-state models of array-enhanced stochastic resonance. Physical Review E. 73(3). 31107–31107. 17 indexed citations

17.

Lindner, John F. & Adi R. Bulsara. (2006). One-way coupling enables noise-mediated spatiotemporal patterns in media of otherwise quiescent multistable elements. Physical Review E. 74(2). 20105–20105. 15 indexed citations

18.

Wiesenfeld, Kurt & John F. Lindner. (2004). Magnetic avalanches: Josephson, Bean, and Bak. Physica A Statistical Mechanics and its Applications. 340(4). 617–624. 2 indexed citations

19.

Moffitt, Jeffrey R., Patrick J. Macdonald, & John F. Lindner. (2004). Self-erasing perturbations of Abelian sandpiles. Physical Review E. 70(1). 16203–16203. 1 indexed citations

20.

Lindner, John F., et al.. (2001). Monostable array-enhanced stochastic resonance. Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics. 63(5). 51107–51107. 47 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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