William Young

582 citations
8 papers · 337 · h-index 7

Impact in

Papers in

William Young

8 papers receiving 306 citations

Peers

William Young
Comparison fields: 5 of 43
  • Statistics, Probability and Uncertainty 83
  • Safety, Risk, Reliability and Quality 105
  • Software 43
  • Radiological and Ultrasound Technology 36
  • Information Systems 162
Replace Siwar Kriaa with:
Siwar Kriaa France
Jan Magott Poland
Bryan M. O’Halloran United States
Felix Redmill United Kingdom
Alberto Pasquini Italy
Erwin Schoitsch Austria
Leonardo Montecchi Italy
Leı̈la Kloul France
Leila Meshkat United States
Jun Ai China
William Young relative to Siwar Kriaa France Siwar Kriaa's profile →
Citations per field
00.5×2.6×
Siwar Kriaa · 1×
Citations per year

Countries citing papers authored by William Young

Since Specialization
Citations

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

Fields of papers citing papers by William Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside William Young, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Young Line = papers co-authored together William Young links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2014138
2 201396
3
Common vulnerabilities in critical infrastructure control systems.
200341
4 201821
5
Sustainable Security for Infrastructure SCADA
200415
6 201714
7 201911
8 19821

About William Young

William Young is a scholar working on Control and Systems Engineering, Information Systems, Statistics, Probability and Uncertainty, Computer Networks and Communications and Safety, Risk, Reliability and Quality, having authored 8 papers that have together received 337 indexed citations. Recurring topics across this work include Information and Cyber Security (4 papers), Risk and Safety Analysis (3 papers), Network Security and Intrusion Detection (2 papers), Systems Engineering Methodologies and Applications (2 papers), Smart Grid Security and Resilience (2 papers), Transportation and Mobility Innovations (1 paper), Autonomous Vehicle Technology and Safety (1 paper) and Infrastructure Resilience and Vulnerability Analysis (1 paper). The work is most often cited by research in Statistics, Probability and Uncertainty (83 citations), Safety, Risk, Reliability and Quality (105 citations), Software (43 citations), Radiological and Ultrasound Technology (36 citations) and Information Systems (162 citations). William Young has collaborated with scholars based in United States. Frequent co-authors include Nancy G. Leveson, Jason Edwin Stamp, Logan O. Mailloux, Robert F. Mills, Henry G. Goldberg, Brian J. Phillips, Ted E. Senator and Phil G. Campbell. Their work appears in journals such as IEEE Access, SAE technical papers on CD-ROM/SAE technical paper series, Journal of the Association for Information Systems, Communications of the ACM and DSpace@MIT (Massachusetts Institute of Technology).

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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