Jay H. Phelps

730 citations
8 papers · 525 · h-index 6

Impact in

Papers in

Jay H. Phelps

8 papers receiving 482 citations

Peers

Jay H. Phelps
Comparison fields: 5 of 56
  • Mechanics of Materials 401
  • Fluid Flow and Transfer Processes 88
  • Building and Construction 93
  • Mechanical Engineering 234
  • Polymers and Plastics 68
Replace Denis Anders with:
Denis Anders Germany
Sun Kyoung Kim South Korea
Kong Ping Oh United States
Salvatore Marzano Italy
Su Tian United States
Ronald Foerch France
M.V. Pathan United Kingdom
Frederic E. Bock Germany
F. Otero Spain
Cem C. Tutum Denmark
Jay H. Phelps relative to Denis Anders Germany Denis Anders's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jay H. Phelps

Since Specialization
Citations

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

Fields of papers citing papers by Jay H. Phelps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Jay H. Phelps, 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 H. Phelps Line = papers co-authored together Jay H. Phelps links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2008244
2 200888
3 201384
4 200649
5 200832
6
Processing-Microstructure Models for Short- and Long-Fiber Thermoplastic Composites
200922
7
From process modeling to elastic property prediction for long-fiber injection-molded thermoplastics
20073
8
DAMAGE MODELING OF INJECTION-MOLDED SHORT- AND LONG-FIBER THERMOPLASTICS
20093

About Jay H. Phelps

Jay H. Phelps is a scholar working on Mechanics of Materials, Mechanical Engineering, Molecular Biology, Automotive Engineering and Condensed Matter Physics, having authored 8 papers that have together received 525 indexed citations. Recurring topics across this work include Epoxy Resin Curing Processes (7 papers), Composite Material Mechanics (7 papers), Mechanical Behavior of Composites (4 papers), Injection Molding Process and Properties (1 paper), Innovations in Concrete and Construction Materials (1 paper), Theoretical and Computational Physics (1 paper), Additive Manufacturing and 3D Printing Technologies (1 paper) and Quantum chaos and dynamical systems (1 paper). The work is most often cited by research in Mechanics of Materials (401 citations), Fluid Flow and Transfer Processes (88 citations), Building and Construction (93 citations), Mechanical Engineering (234 citations) and Polymers and Plastics (68 citations). Jay H. Phelps has collaborated with scholars based in United States. Frequent co-authors include Charles L. Tucker, Vlastimil Kunc, Ahmed I. Abd El-Rahman, Ba Nghiep Nguyen, Satish K. Bapanapalli, James D. Holbery and Mark T. Smith. Their work appears in journals such as Journal of Composite Materials, Composites Part A Applied Science and Manufacturing, Journal of Non-Newtonian Fluid Mechanics and Chemical Engineering Science.

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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