Jay Young

582 citations
25 papers · 264 indexed · h-index 10

Impact in

Papers in

Jay Young

23 papers receiving 241 citations

Peers

Jay Young
Comparison fields: 5 of 51
  • Orthodontics 72
  • Oral Surgery 58
  • General Dentistry 12
  • Mechanical Engineering 123
  • Emergency Medical Services 20
Replace D. Winter with:
D. Winter United Kingdom
S.A. WHITEHEAD United Kingdom
D. N. Fenner United Kingdom
Kazuo Kondoh Japan
Paul Labossière United States
Ali Mahmoudi United States
Jia-Kuang Liu Taiwan
João Batista de Paiva Brazil
Georgi Todorov Bulgaria
Céline Bouby France
Jay Young relative to D. Winter United Kingdom D. Winter's profile →
Citations per field
00.5×3.4×
D. Winter · 1×
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-authorship network

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
#Work
1 201511
2 20144
3
Effects of Training Data Variation and Temporal Representation in a QSR-Based Action Prediction System
20141
4
Predicting Situated Behaviour Using Sequences of Abstract Spatial Relations.
20136
5 201214
6 201212
7 19987
8 19983
9 19963
10 199515
11
Microstructure and chemical homogeneity of plasma-arc cold-hearth melted Ti-48Al-2Mn-2Nb gamma titanium aluminide
19952
12 199423
13 19936
14 19930
15 199313
16 199210
17 199015
18 19885
19 19830
20 19783

About Jay Young

Jay Young is a scholar working on Structural Biology, General Materials Science, Mechanical Engineering, Materials Chemistry and Ecological Modeling, having authored 25 papers that have together received 264 indexed citations. Recurring topics across this work include Metal Alloys Wear and Properties (8 papers), Microstructure and Mechanical Properties of Steels (6 papers), Aluminum Alloy Microstructure Properties (4 papers), Reinforcement Learning in Robotics (4 papers), Aluminum Alloys Composites Properties (4 papers), Artificial Intelligence in Games (3 papers), AI-based Problem Solving and Planning (3 papers) and Metallurgy and Material Forming (3 papers). The work is most often cited by research in Orthodontics (72 citations), Oral Surgery (58 citations), General Dentistry (12 citations), Mechanical Engineering (123 citations) and Emergency Medical Services (20 citations). Jay Young has collaborated with scholars based in United Kingdom, United States and Iran. Frequent co-authors include Nick Hawes, M. Grech, R.E. Smallman, Leposava Šidjanin, S. M. A. Boutorabi, Mehdi Salehi, F. Ashrafizadeh, D.C. Groeneveld, Tom Chothia and Fran Smith. Their work appears in journals such as Materials Science and Technology, Journal of Materials Processing Technology, Wear, Journal of Microscopy and Adaptive Agents and Multi-Agents Systems.

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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