Nigel J. Newton

859 citations
23 papers · 496 indexed · h-index 9
Topics
Statistical Mechanics and Entropy (8 papers)Stochastic processes and financial applications (5 papers)Advanced Thermodynamics and Statistical Mechanics (4 papers)

In The Last Decade

Nigel J. Newton

22 papers receiving 443 citations

Peers

Nigel J. Newton
Comparison fields: 5 of 67
  • Finance 226
  • Statistical and Nonlinear Physics 117
  • Artificial Intelligence 92
  • Computer Networks and Communications 55
  • Control and Systems Engineering 53
Replace Nicola Bruti‐Liberati with:
Nicola Bruti‐Liberati Australia
Steffen Dereich Germany
J. G. Gaines United Kingdom
Xavier Warin France
Bernard Lapeyre France
William T. Shaw United Kingdom
Mireille Bossy France
Dror Givon Israel
U. G. Haussmann Canada
Michael Kohlmann Germany
Nigel J. Newton relative to Nicola Bruti‐Liberati Australia Nicola Bruti‐Liberati's profile →
Citations per field
00.5×6.9×
Nicola Bruti‐Liberati · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 5
3 3
4 25
5 21
6 2
7 4
8 8
9 7
10 62
11 53
12 4
13 1
14 6
15 7
16 125
17 53
18 53
19 14
20 30

About Nigel J. Newton

Nigel J. Newton is a scholar working on Statistical and Nonlinear Physics, Finance and Applied Mathematics, having authored 23 papers that have together received 496 indexed citations. Recurring topics across this work include Statistical Mechanics and Entropy (8 papers), Stochastic processes and financial applications (5 papers) and Advanced Thermodynamics and Statistical Mechanics (4 papers). The work is most often cited by research in Finance (226 citations), Statistical and Nonlinear Physics (117 citations) and Numerical Analysis (42 citations). Nigel J. Newton has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Sanjoy K. Mitter, Guy Barles, Éric Fournié, Peter Bossaerts, Nicole El Karoui, Agnès Tourin, L. C. G. Rogers, Mark Broadie, Farid AitSahlia and Agnès Sulem. Their work appears in journals such as IEEE Transactions on Information Theory, Electronics Letters and Journal of Statistical Physics.

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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