P.G. Sanders

603 citations
6 papers · 525 · h-index 6

Impact in

    • Microstructure and mechanical properties
    • Solidification and crystal growth phenomena
    • Aluminum Alloys Composites Properties
    • Advanced materials and composites
    • Metallic Glasses and Amorphous Alloys

Papers in

    • Microstructure and mechanical properties 3
    • Machine Learning in Materials Science 1
    • Solidification and crystal growth phenomena 1
    • nanoparticles nucleation surface interactions 2

P.G. Sanders

6 papers receiving 509 citations

Peers

P.G. Sanders
Comparison fields: 5 of 30
  • Materials Chemistry 419
  • Mechanical Engineering 316
  • Mechanics of Materials 129
  • Ceramics and Composites 20
  • Metals and Alloys 8
Replace Vladimir Yu. Novikov with:
Vladimir Yu. Novikov Russia
M. Spaczér Switzerland
D.K. Mukhopadhyay United States
Jonathan C. Trenkle United States
Ulrich Czubayko Germany
Petr A. Tsygankov Russia
Jeff Houze United States
Jon A Rifkin United States
Alfred Korner Austria
Brian K. VanLeeuwen United States
P.G. Sanders relative to Vladimir Yu. Novikov Russia Vladimir Yu. Novikov's profile →
Citations per field
00.5×1.5×
Vladimir Yu. Novikov · 1×
Citations per year

Countries citing papers authored by P.G. Sanders

Since Specialization
Citations

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

Fields of papers citing papers by P.G. Sanders

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.G. Sanders. 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 P.G. Sanders. The network helps show where P.G. Sanders may publish in the future.

Co-authors

The 14 scholars most cited alongside P.G. Sanders, 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 P.G. Sanders Line = papers co-authored together P.G. Sanders links everyone, so they are left out of the graph.

All Works

About P.G. Sanders

P.G. Sanders is a scholar working on Materials Chemistry, Atmospheric Science, Metals and Alloys, General Materials Science and Mechanical Engineering, having authored 6 papers that have together received 525 indexed citations. Recurring topics across this work include Microstructure and mechanical properties (3 papers), nanoparticles nucleation surface interactions (2 papers), Muon and positron interactions and applications (1 paper), Microstructure and Mechanical Properties of Steels (1 paper), Machine Learning in Materials Science (1 paper), Additive Manufacturing Materials and Processes (1 paper), Solidification and crystal growth phenomena (1 paper) and High Temperature Alloys and Creep (1 paper). The work is most often cited by research in Materials Chemistry (419 citations), Mechanical Engineering (316 citations), Mechanics of Materials (129 citations), Ceramics and Composites (20 citations) and Metals and Alloys (8 citations). P.G. Sanders has collaborated with scholars based in United States and Denmark. Frequent co-authors include J. Weertman, Carl J. Youngdahl, J. A. Kittl, Michael J. Aziz, Michael O. Thompson, D.P. Brunco, Matthew G. Newville, R.W. Siegel, E. A. Stern and D. Haskel. Their work appears in journals such as Materials Science and Engineering A, Acta Materialia, Physical Review Letters, Materials science forum and Scripta Metallurgica et Materialia.

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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