Neil Carhart

27 papers receiving 282 citations

Hit Papers

Towards Civil Engineering 4.0: Concept, workflow and appl...202220262023202420224080120

Peers

Neil Carhart
Comparison fields: 5 of 75
  • Civil and Structural Engineering 100
  • Building and Construction 86
  • Industrial and Manufacturing Engineering 73
  • Statistics, Probability and Uncertainty 37
  • Radiological and Ultrasound Technology 36
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Hanbin Luo China
D. J. Vanier Canada
Aidi Hizami Alias Malaysia
Abdulwahed Fazeli Iran
Pedram Ghannad United States
Mahmood Golabchi Iran
Vicente González-Prida Spain
Sy-Jye Guo Taiwan
Ahmed Gouda Mohamed Egypt
Panrawee Rungskunroch United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Neil Carhart

Since Specialization
Citations

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

Fields of papers citing papers by Neil Carhart

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neil Carhart

This figure shows the co-authorship network connecting the top 25 collaborators of Neil Carhart. A scholar is included among the top collaborators of Neil Carhart 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 Carhart. Neil Carhart 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
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Towards Civil Engineering 4.0: Concept, workflow and application of Digital Twins for existing infrastructurebreakdown →
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13 3
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Learning Journeys and Infrastructure Services: a game changer for effectiveness
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Learning Frameworks for Future Infrastructure Provision
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About Neil Carhart

Neil Carhart is a scholar working on Statistics, Probability and Uncertainty, Radiological and Ultrasound Technology and Health, having authored 31 papers that have together received 290 indexed citations. Recurring topics across this work include Infrastructure Resilience and Vulnerability Analysis (8 papers), Complex Systems and Decision Making (6 papers) and Risk and Safety Analysis (6 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (73 citations), Radiological and Ultrasound Technology (36 citations) and Building and Construction (86 citations). Neil Carhart has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include Maria Pregnolato, Raffaele De Risi, Theo Tryfonas, Elia Voyagaki, John H G Macdonald, Patrick Tully, Curtis R. Taylor, Mike Yearworth, Claire Walsh and John H R May. Their work appears in journals such as Automation in Construction, Process Safety and Environmental Protection and Transportation Research Part D Transport and Environment.

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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