Hunter Johnston

470 total citations
13 papers, 312 citations indexed

About

Hunter Johnston is a scholar working on Numerical Analysis, Control and Systems Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Hunter Johnston has authored 13 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Numerical Analysis, 4 papers in Control and Systems Engineering and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Hunter Johnston's work include Numerical methods for differential equations (4 papers), Model Reduction and Neural Networks (4 papers) and Spacecraft Dynamics and Control (3 papers). Hunter Johnston is often cited by papers focused on Numerical methods for differential equations (4 papers), Model Reduction and Neural Networks (4 papers) and Spacecraft Dynamics and Control (3 papers). Hunter Johnston collaborates with scholars based in United States and Brazil. Hunter Johnston's co-authors include Daniele Mortari, Carl Leake, Enrico Schiassi, Roberto Furfaro, Mario De Florio, Kristofer Drozd, Yalchin Efendiev, Martin W. Lo, Fabio Curti and Andrea D’Ambrosio and has published in prestigious journals such as Neurocomputing, Journal of Computational and Applied Mathematics and Advances in Space Research.

In The Last Decade

Hunter Johnston

13 papers receiving 300 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hunter Johnston United States	9	145	96	62	60	47	13	312
Carl Leake United States	7	125 0.9×	65 0.7×	46 0.7×	52 0.9×	40 0.9×	14	256
David Sondak United States	9	186 1.3×	31 0.3×	11 0.2×	150 2.5×	7 0.1×	21	321
Liangqiang Zhou China	11	169 1.2×	36 0.4×	9 0.1×	40 0.7×	31 0.7×	48	328
Shah Muhammad Saudi Arabia	12	57 0.4×	19 0.2×	13 0.2×	175 2.9×	30 0.6×	52	456
Rodica Toader Italy	16	103 0.7×	19 0.2×	67 1.1×	152 2.5×	19 0.4×	47	955
Ignacio Tomaš United States	8	105 0.7×	34 0.4×	50 0.8×	280 4.7×	9 0.2×	16	443
Andreas Bartel Germany	12	54 0.4×	20 0.2×	149 2.4×	117 1.9×	15 0.3×	45	432
Arne Marthinsen Norway	11	96 0.7×	33 0.3×	226 3.6×	134 2.2×	18 0.4×	16	334
R. Seydel Germany	11	114 0.8×	16 0.2×	142 2.3×	85 1.4×	43 0.9×	14	458
G. Montseny France	10	67 0.5×	13 0.1×	74 1.2×	33 0.6×	175 3.7×	24	441

Countries citing papers authored by Hunter Johnston

Since Specialization

Citations

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

Fields of papers citing papers by Hunter Johnston

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hunter Johnston. 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 Hunter Johnston. The network helps show where Hunter Johnston may publish in the future.

Co-authorship network of co-authors of Hunter Johnston

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

All Works

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13 of 13 papers shown

D’Ambrosio, Andrea, Enrico Schiassi, Hunter Johnston, et al.. (2022). Time-energy optimal landing on planetary bodies via theory of functional connections. Advances in Space Research. 69(12). 4198–4220. 5 indexed citations

Schiassi, Enrico, Roberto Furfaro, Carl Leake, et al.. (2021). Extreme theory of functional connections: A fast physics-informed neural network method for solving ordinary and partial differential equations. Neurocomputing. 457. 334–356. 128 indexed citations

Johnston, Hunter, Martin W. Lo, & Daniele Mortari. (2021). A Functional Interpolation Approach to Compute Periodic Orbits in the Circular-Restricted Three-Body Problem. Mathematics. 9(11). 1210–1210. 10 indexed citations

Drozd, Kristofer, Roberto Furfaro, Enrico Schiassi, Hunter Johnston, & Daniele Mortari. (2021). Energy-optimal trajectory problems in relative motion solved via Theory of Functional Connections. Acta Astronautica. 182. 361–382. 23 indexed citations

Johnston, Hunter, et al.. (2021). Fast 2-impulse non-Keplerian orbit transfer using the Theory of Functional Connections. The European Physical Journal Plus. 136(2). 13 indexed citations

Johnston, Hunter & Daniele Mortari. (2021). Least-squares solutions of boundary-value problems in hybrid systems. Journal of Computational and Applied Mathematics. 393. 113524–113524. 16 indexed citations

Leake, Carl, Hunter Johnston, & Daniele Mortari. (2020). The Multivariate Theory of Functional Connections: Theory, Proofs, and Application in Partial Differential Equations. Mathematics. 8(8). 1303–1303. 33 indexed citations

Johnston, Hunter, Carl Leake, Yalchin Efendiev, & Daniele Mortari. (2019). Selected Applications of the Theory of Connections: A Technique for Analytical Constraint Embedding. Mathematics. 7(6). 537–537. 10 indexed citations

Leake, Carl, et al.. (2019). Analytically Embedding Differential Equation Constraints into Least Squares Support Vector Machines Using the Theory of Functional Connections. Machine Learning and Knowledge Extraction. 1(4). 1058–1083. 17 indexed citations

10.

Mortari, Daniele, et al.. (2018). High accuracy least-squares solutions of nonlinear differential equations. Journal of Computational and Applied Mathematics. 352. 293–307. 53 indexed citations

11.

Leake, Carl, et al.. (2018). Theory of Connections Applied to Support Vector Machines to Solve Differential Equations.. arXiv (Cornell University). 1 indexed citations

12.

Mortari, Daniele, et al.. (2018). Least-Squares Solutions of Nonlinear Differential Equations. 2 indexed citations

13.

Duncan, Scott, et al.. (2017). A Comprehensive Energy Monitoring Environment for District Energy Grid Systems. SMARTech Repository (Georgia Institute of Technology). 1 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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