Jay Young

554 citations
25 papers · 261 · h-index 10

Impact in

Papers in

Jay Young

23 papers receiving 238 citations

Peers

Jay Young
Comparison fields: 5 of 50
  • Orthodontics 67
  • Oral Surgery 37
  • Mechanical Engineering 118
  • General Dentistry 4
  • Mechanics of Materials 66
Replace D. Winter with:
D. Winter United Kingdom
D. N. Fenner United Kingdom
B. M. Kim South Korea
Kazuo Kondoh Japan
P. Hübner Germany
Paul Labossière United States
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Georgi Todorov Bulgaria
Gang Shen China
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Citations per field
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Citations per year

Countries citing papers authored by Jay Young

Since Specialization
Citations

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

Fields of papers citing papers by Jay Young

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 18 scholars most cited alongside Jay 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 Jay Young Line = papers co-authored together Jay Young links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Fracture resistance of Kevlar-reinforced poly(methyl methacrylate) resin: a preliminary study.
199187
2 199423
3 199015
4 199515
5 201214
6 198813
7 199313
8 201212
9 201511
10 199210
11 19878
12 19987
13
Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations.
20136
14 19935
15 19885
16 20144
17 19963
18 19983
19 19783
20
Effects of Training Data Variation and Temporal Representation in a QSR-Based Action Prediction System
20141

About Jay Young

Jay Young is a scholar working on Mechanical Engineering, Materials Chemistry, Mechanics of Materials, Artificial Intelligence and Aerospace Engineering, having authored 25 papers that have together received 261 indexed citations. Recurring topics across this work include Metal Alloys Wear and Properties (8 papers), Microstructure and Mechanical Properties of Steels (6 papers), Aluminum Alloys Composites Properties (4 papers), Reinforcement Learning in Robotics (4 papers), Aluminum Alloy Microstructure Properties (4 papers), Artificial Intelligence in Games (3 papers), Metallurgy and Material Forming (3 papers) and AI-based Problem Solving and Planning (3 papers). The work is most often cited by research in Orthodontics (67 citations), Oral Surgery (37 citations), Mechanical Engineering (118 citations), General Dentistry (4 citations) and Mechanics of Materials (66 citations). Jay Young has collaborated with scholars based in United Kingdom, United States and Iran. Frequent co-authors include Nick Hawes, M. Grech, Leposava Šidjanin, R.E. Smallman, S. M. A. Boutorabi, Mehdi Salehi, F. Ashrafizadeh, Tom Chothia, D.C. Groeneveld and Fran Smith. Their work appears in journals such as Materials Science and Technology, Journal of Materials Processing Technology, Wear, Journal of Microscopy and Journal de Physique IV (Proceedings).

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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