Thomas Angsten

1.3k citations
7 papers · 180 · h-index 6

Impact in

    • Machine Learning in Materials Science
    • Ferroelectric and Piezoelectric Materials
    • Electronic and Structural Properties of Oxides
    • Nuclear Materials and Properties

Papers in

    • Multiferroics and related materials 3
    • Magnetic and transport properties of perovskites and related materials 3
    • Electronic and Structural Properties of Oxides 3
    • Ferroelectric and Piezoelectric Materials 3
    • Machine Learning in Materials Science 2
    • Boron and Carbon Nanomaterials Research 1

Thomas Angsten

6 papers receiving 179 citations

Peers

Thomas Angsten
Comparison fields: 5 of 41
  • Materials Chemistry 135
  • Structural Biology 4
  • Electronic, Optical and Magnetic Materials 43
  • Catalysis 10
  • Mechanical Engineering 43
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Alejandro David Rodriguez United States
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Citations per field
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Citations per year

Countries citing papers authored by Thomas Angsten

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Angsten

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Thomas Angsten, 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 Thomas Angsten Line = papers co-authored together Thomas Angsten links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 201480
2 201638
3 201726
4 201615
5 201811
6 201810
7 20220

About Thomas Angsten

Thomas Angsten is a scholar working on Electronic, Optical and Magnetic Materials, Materials Chemistry, Geophysics, Mechanical Engineering and Biomedical Engineering, having authored 7 papers that have together received 180 indexed citations. Recurring topics across this work include Electronic and Structural Properties of Oxides (3 papers), Multiferroics and related materials (3 papers), Magnetic and transport properties of perovskites and related materials (3 papers), Ferroelectric and Piezoelectric Materials (3 papers), Machine Learning in Materials Science (2 papers), Boron and Carbon Nanomaterials Research (1 paper), High-pressure geophysics and materials (1 paper) and Intermetallics and Advanced Alloy Properties (1 paper). The work is most often cited by research in Materials Chemistry (135 citations), Structural Biology (4 citations), Electronic, Optical and Magnetic Materials (43 citations), Catalysis (10 citations) and Mechanical Engineering (43 citations). Thomas Angsten has collaborated with scholars based in United States and Netherlands. Frequent co-authors include Henry Wu, Tam Mayeshiba, Dane Morgan, Mark Asta, Lane Martin, Wei Xie, Glen R. Jenness, Joshua Agar, Shishir A. Pandya and Ajay K. Yadav. Their work appears in journals such as Physical review. B., New Journal of Physics, MRS Communications, Chemistry of Materials and Computational Materials 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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