Kyle Self

570 citations
14 papers · 503 · h-index 9

Impact in

  • Catalysis top 10%
    • Catalysis and Oxidation Reactions
    • Catalytic Processes in Materials Science
    • Machine Learning in Materials Science

Papers in

Kyle Self

14 papers receiving 431 citations

Peers

Kyle Self
Comparison fields: 5 of 37
  • Catalysis 82
  • Materials Chemistry 200
  • Inorganic Chemistry 54
  • Atomic and Molecular Physics, and Optics 86
  • Biomedical Engineering 91
Replace Carlos De La Cruz with:
Carlos De La Cruz Venezuela
Robert Doolen United States
J. Dumas France
Holger H. Fischer Germany
Povilas Lukinskas United States
Pei‐Lin Kang China
Gudbjorg Oskarsdottir United States
Mark S. Paley United States
Peter Svejda Germany
Yinming Pan China
Kyle Self relative to Carlos De La Cruz Venezuela Carlos De La Cruz's profile →
Citations per field
00.5×1.7×
Carlos De La Cruz · 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 21 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 1999200
2 199962
3 199954
4 199849
5 199849
6 199421
7 199316
8 199416
9 199713
10 19998
11 19937
12 19934
13 19982
14
High throughput screening of combinatorial heterogeneous catalyst libraries.
19992

About Kyle Self

Kyle Self is a scholar working on Atomic and Molecular Physics, and Optics, Organic Chemistry, Spectroscopy, Materials Chemistry and Catalysis, having authored 14 papers that have together received 503 indexed citations. Recurring topics across this work include Surface and Thin Film Phenomena (7 papers), Semiconductor materials and interfaces (5 papers), Machine Learning in Materials Science (3 papers), Catalytic Cross-Coupling Reactions (2 papers), Surface Chemistry and Catalysis (2 papers), Chemical Synthesis and Analysis (2 papers), Catalytic Processes in Materials Science (2 papers) and Organometallic Complex Synthesis and Catalysis (2 papers). The work is most often cited by research in Catalysis (82 citations), Materials Chemistry (200 citations), Inorganic Chemistry (54 citations), Atomic and Molecular Physics, and Optics (86 citations) and Biomedical Engineering (91 citations). Kyle Self has collaborated with scholars based in United States and Germany. Frequent co-authors include W. H. Weinberg, Howard W. Turner, Daniel M. Giaquinta, Robert Doolen, 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, Proceedings of the National Academy of Sciences 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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