Nigel J. Newton

859 total citations
23 papers, 496 citations indexed

About

Nigel J. Newton is a scholar working on Statistical and Nonlinear Physics, Artificial Intelligence and Finance. According to data from OpenAlex, Nigel J. Newton has authored 23 papers receiving a total of 496 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Statistical and Nonlinear Physics, 6 papers in Artificial Intelligence and 5 papers in Finance. Recurrent topics in Nigel J. Newton's work include Statistical Mechanics and Entropy (8 papers), Stochastic processes and financial applications (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). Nigel J. Newton is often cited by papers focused on Statistical Mechanics and Entropy (8 papers), Stochastic processes and financial applications (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). Nigel J. Newton collaborates with scholars based in United Kingdom, United States and Sweden. Nigel J. Newton's co-authors include Sanjoy K. Mitter, Nicole El Karoui, L. C. G. Rogers, Éric Fournié, Mark Broadie, Guy Barles, Agnès Tourin, Agnès Sulem, Peter Bossaerts and Farid AitSahlia and has published in prestigious journals such as IEEE Transactions on Information Theory, Electronics Letters and Journal of Statistical Physics.

In The Last Decade

Nigel J. Newton

22 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nigel J. Newton United Kingdom	9	226	117	92	55	53	23	496
J. G. Gaines United Kingdom	9	258 1.1×	63 0.5×	47 0.5×	22 0.4×	44 0.8×	11	438
Paolo Dai Pra Italy	14	165 0.7×	176 1.5×	65 0.7×	66 1.2×	102 1.9×	58	681
Levon Nurbekyan United States	10	106 0.5×	129 1.1×	79 0.9×	17 0.3×	46 0.9×	23	365
Steffen Dereich Germany	13	251 1.1×	109 0.9×	61 0.7×	18 0.3×	14 0.3×	38	589
Wilhelm Stannat Germany	13	254 1.1×	114 1.0×	65 0.7×	65 1.2×	98 1.8×	56	682
Luisa Beghin Italy	17	296 1.3×	147 1.3×	81 0.9×	23 0.4×	49 0.9×	54	1.0k
William T. Shaw United Kingdom	12	194 0.9×	97 0.8×	31 0.3×	28 0.5×	39 0.7×	40	486
Dror Givon Israel	7	123 0.5×	148 1.3×	30 0.3×	36 0.7×	55 1.0×	7	382
Uwe Küchler Germany	13	633 2.8×	109 0.9×	68 0.7×	75 1.4×	86 1.6×	44	1.0k
Bernard Bercu France	15	300 1.3×	36 0.3×	129 1.4×	33 0.6×	70 1.3×	58	664

Countries citing papers authored by Nigel J. Newton

Since Specialization

Citations

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

Fields of papers citing papers by Nigel J. Newton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nigel J. Newton. 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 Nigel J. Newton. The network helps show where Nigel J. Newton may publish in the future.

Co-authorship network of co-authors of Nigel J. Newton

This figure shows the co-authorship network connecting the top 25 collaborators of Nigel J. Newton. A scholar is included among the top collaborators of Nigel J. Newton 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 Nigel J. Newton. Nigel J. Newton 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

Newton, Nigel J.. (2022). A two-parameter family of non-parametric, deformed exponential manifolds. 7(S1). 171–186.

Newton, Nigel J.. (2018). A Class of Non-Parametric Statistical Manifolds modelled on Sobolev Space. arXiv (Cornell University). 5 indexed citations

Newton, Nigel J.. (2015). Infinite-dimensional statistical manifolds based on a balanced chart. Bernoulli. 22(2). 3 indexed citations

Sandberg, Henrik, Jean‐Charles Delvenne, Nigel J. Newton, & Sanjoy K. Mitter. (2014). Maximum work extraction and implementation costs for nonequilibrium Maxwell's demons. Physical Review E. 90(4). 42119–42119. 25 indexed citations

Newton, Nigel J.. (2012). An infinite-dimensional statistical manifold modelled on Hilbert space. Journal of Functional Analysis. 263(6). 1661–1681. 21 indexed citations

Newton, Nigel J. & Sanjoy K. Mitter. (2012). Variational Bayes and a problem of reliable communication: II. Infinite systems. Journal of Statistical Mechanics Theory and Experiment. 2012(11). P11008–P11008. 2 indexed citations

Mitter, Sanjoy K. & Nigel J. Newton. (2010). Variational Bayes and a Problem of Reliable Communication I: Finite Systems. Communications in Information and Systems. 10(3). 155–182. 4 indexed citations

Newton, Nigel J.. (2008). Interactive Statistical Mechanics and Nonlinear Filtering. Journal of Statistical Physics. 133(4). 711–737. 8 indexed citations

Newton, Nigel J.. (2006). Dual Kalman–Bucy Filters and Interactive Entropy Production. SIAM Journal on Control and Optimization. 45(3). 998–1016. 7 indexed citations

10.

Mitter, Sanjoy K. & Nigel J. Newton. (2005). Information and Entropy Flow in the Kalman?Bucy Filter. Journal of Statistical Physics. 118(1-2). 145–176. 62 indexed citations

11.

Mitter, Sanjoy K. & Nigel J. Newton. (2003). A Variational Approach to Nonlinear Estimation. SIAM Journal on Control and Optimization. 42(5). 1813–1833. 53 indexed citations

12.

Newton, Nigel J.. (2002). Data synchronization and noisy environments. IEEE Transactions on Information Theory. 48(8). 2253–2262. 4 indexed citations

13.

Newton, Nigel J.. (2001). Approximations for Nonlinear Filters based on Quantisation. Monte Carlo Methods and Applications. 7(3-4). 1 indexed citations

14.

Newton, Nigel J.. (2000). Observation sampling and quantisation for continuous-time estimators. Stochastic Processes and their Applications. 87(2). 311–337. 6 indexed citations

15.

Newton, Nigel J.. (2000). Observations Preprocessing and Quantization for Nonlinear Filters. SIAM Journal on Control and Optimization. 38(2). 482–502. 7 indexed citations

16.

Rogers, L. C. G., L. C. G. Rogers, Guy Barles, et al.. (1997). Numerical Methods in Finance. Cambridge University Press eBooks. 125 indexed citations

17.

Newton, Nigel J.. (1994). Variance Reduction for Simulated Diffusions. SIAM Journal on Applied Mathematics. 54(6). 1780–1805. 53 indexed citations

18.

Newton, Nigel J.. (1991). Asymptotically Efficient Runge-Kutta Methods for a Class of Itô and Stratonovich Equations. SIAM Journal on Applied Mathematics. 51(2). 542–567. 53 indexed citations

19.

Newton, Nigel J.. (1990). An efficient approximation for stochastic differential equations on the partition ofsymmetricalirst. Stochastics and stochastics reports. 29(2). 227–258. 14 indexed citations

20.

Newton, Nigel J.. (1986). An asymptotically efficient difference formula for solving stochastic differential equations. Stochastics. 19(3). 175–206. 30 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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