Kyle Self

572 citations
14 papers · 503 · h-index 9

Impact in

  • Catalysis top 5%
    • Catalysis and Oxidation Reactions
    • Catalytic Processes in Materials Science
    • Machine Learning in Materials Science

Papers in

Kyle Self

14 papers receiving 463 citations

Peers

Kyle Self
Comparison fields: 5 of 46
  • Catalysis 192
  • Materials Chemistry 317
  • Atomic and Molecular Physics, and Optics 125
  • Inorganic Chemistry 52
  • Biomedical Engineering 123
Replace Juhani Väyrynen with:
Juhani Väyrynen Finland
Elaine M. Vass Germany
J. Billy France
Jane Rempel United States
Nadja Sändig Italy
Maurice Guérin France
C. R. O'Connor United States
Shuhei Nagaoka Japan
Natasha M. Galea Canada
N. Breuer Germany
Kyle Self relative to Juhani Väyrynen Finland Juhani Väyrynen's profile →
Citations per field
00.5×1.5×
Juhani Väyrynen · 1×
Citations per year

Countries citing papers authored by Kyle Self

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Self

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1999201
2 199961
3 199954
4 199849
5 199848
6 199421
7 199316
8 199416
9 199714
10 19998
11 19937
12 19934
13
High throughput screening of combinatorial heterogeneous catalyst libraries.
19992
14 19982

About Kyle Self

Kyle Self is a scholar working on Atomic and Molecular Physics, and Optics, Materials Chemistry, Catalysis, Electrical and Electronic Engineering and Mechanical Engineering, having authored 14 papers that have together received 503 indexed citations. Recurring topics across this work include Semiconductor Quantum Structures and Devices (5 papers), Catalytic Processes in Materials Science (5 papers), Advanced Chemical Physics Studies (5 papers), Surface and Thin Film Phenomena (5 papers), Catalysis and Oxidation Reactions (4 papers), Catalysis and Hydrodesulfurization Studies (2 papers), Machine Learning in Materials Science (2 papers) and Semiconductor materials and devices (2 papers). The work is most often cited by research in Catalysis (192 citations), Materials Chemistry (317 citations), Atomic and Molecular Physics, and Optics (125 citations), Inorganic Chemistry (52 citations) and Biomedical Engineering (123 citations). Kyle Self has collaborated with scholars based in United States and Germany. Frequent co-authors include W. H. Weinberg, Howard W. Turner, Robert Doolen, Daniel M. Giaquinta, Damodara M. Poojary, Peijun Cong, Shenheng Guan, Eric W. McFarland, Qun Fan and Xuesen Wang. Their work appears in journals such as Journal of Vacuum Science & Technology A Vacuum Surfaces and Films, Surface Science, Angewandte Chemie International Edition, Physical review. B, Condensed matter and Current Opinion in Solid State and 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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