Charles Nicholson

1.4k total citations
32 papers, 791 citations indexed

About

Charles Nicholson is a scholar working on Civil and Structural Engineering, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Charles Nicholson has authored 32 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Civil and Structural Engineering, 7 papers in Sociology and Political Science and 6 papers in Artificial Intelligence. Recurrent topics in Charles Nicholson's work include Infrastructure Resilience and Vulnerability Analysis (14 papers), Disaster Management and Resilience (6 papers) and Supply Chain Resilience and Risk Management (5 papers). Charles Nicholson is often cited by papers focused on Infrastructure Resilience and Vulnerability Analysis (14 papers), Disaster Management and Resilience (6 papers) and Supply Chain Resilience and Risk Management (5 papers). Charles Nicholson collaborates with scholars based in United States, Venezuela and Switzerland. Charles Nicholson's co-authors include Naiyu Wang, Kash Barker, Weili Zhang, José Emmanuel Ramírez-Márquez, Kurt J. Marfurt, Rafael Pires de Lima, Weili Zhang, Roger M. Slatt, D. Duarte and Yasser Almoghathawi and has published in prestigious journals such as PLoS ONE, International Journal of Production Economics and Sustainability.

In The Last Decade

Charles Nicholson

30 papers receiving 767 citations

Peers

Charles Nicholson
Comparison fields: 5 of 100
  • Civil and Structural Engineering 409
  • Sociology and Political Science 156
  • Statistics, Probability and Uncertainty 137
  • Ocean Engineering 115
  • Strategy and Management 103
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Citations per field, relative to Charles Nicholson
Charles Nicholson · 1×
Citations per year, relative to Charles Nicholson
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Countries citing papers authored by Charles Nicholson

Since Specialization
Citations

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

Fields of papers citing papers by Charles Nicholson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Charles Nicholson

This figure shows the co-authorship network connecting the top 25 collaborators of Charles Nicholson. A scholar is included among the top collaborators of Charles Nicholson 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 Charles Nicholson. Charles Nicholson 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
# Work Indexed citations
1 0
2 8
3 1
4 5
5 10
6 9
7 0
8 62
9
TensorFlow.js: Machine Learning for the Web and Beyond
5
10 4
11 35
12 70
13 47
14 26
15 6
16 1
17 27
18 84
19 3
20 19

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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