Neil J. Curson

2.7k citations
93 papers · 2.0k indexed · h-index 23

Neil J. Curson

91 papers receiving 2.0k citations

Peers

Neil J. Curson
Comparison fields: 5 of 52
  • Atomic and Molecular Physics, and Optics 1.5k
  • Electrical and Electronic Engineering 1.3k
  • Materials Chemistry 466
  • Biomedical Engineering 305
  • Artificial Intelligence 151
Replace T. C. Shen with:
T. C. Shen United States
G. C. Abeln United States
Jason Pitters Canada
Shoji Yoshida Japan
Tyler L. Cocker United States
Nobuyuki Koguchi Japan
Martin Otto Canada
Yanan Dai China
D. Y. Oberli Switzerland
J. Smoliner Austria
Neil J. Curson relative to T. C. Shen United States T. C. Shen's profile →
Citations per field
00.5×4.3×
T. C. Shen · 1×
Citations per year

Countries citing papers authored by Neil J. Curson

Since Specialization
Citations

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

Fields of papers citing papers by Neil J. Curson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil J. Curson

This figure shows the co-authorship network connecting the top 25 collaborators of Neil J. Curson. A scholar is included among the top collaborators of Neil J. Curson 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 Neil J. Curson. Neil J. Curson 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 2
2 3
3 0
4 1
5 13
6 1
7 3
8 3
9 15
10 2
11 0
12 1
13 46
14 27
15
Atomic Scale Patterned Arsenic in Silicon
1
16
Topological phases of a dimerized Fermi-Hubbard model
1
17 55
18 14
19
Phosphine adsorption and dissociation on the Si(001) surface: An ab initio survey of structures
42
20 2

About Neil J. Curson

Neil J. Curson is a scholar working on Structural Biology, Atomic and Molecular Physics, and Optics and Electrical and Electronic Engineering, having authored 93 papers that have together received 2.0k indexed citations. Recurring topics across this work include Quantum and electron transport phenomena (44 papers), Surface and Thin Film Phenomena (37 papers) and Semiconductor materials and devices (32 papers). The work is most often cited by research in Structural Biology (77 citations), Atomic and Molecular Physics, and Optics (1.5k citations) and Electrical and Electronic Engineering (1.3k citations). Neil J. Curson has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Steven R. Schofield, M. Y. Simmons, Robert G. Clark, L. Oberbeck, Toby Hallam, F. J. Rueß, Marian W. Radny, P.V. Smith, Oliver Warschkow and David R. McKenzie. Their work appears in journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Advanced Materials.

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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