Anthony Goodrow

410 citations
9 papers · 374 · h-index 9

Impact in

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

Papers in

    • Catalysis and Oxidation Reactions 4
    • Catalytic Processes in Materials Science 4
    • Machine Learning in Materials Science 3

Anthony Goodrow

9 papers receiving 368 citations

Peers

Anthony Goodrow
Comparison fields: 5 of 36
  • Catalysis 200
  • Materials Chemistry 265
  • Inorganic Chemistry 40
  • Atomic and Molecular Physics, and Optics 81
  • Polymers and Plastics 36
Replace Spencer J. Carey with:
Spencer J. Carey United States
Thomas C. Kuechler United States
Jelle M. Boereboom Netherlands
Vahideh Habibpour Germany
V. Yu. Bychkov Russia
Ludwig Schwiedrzik Austria
Marie L. Anderson United Kingdom
Gudbjorg Oskarsdottir United States
Víctor Posligua United Kingdom
Anthony Goodrow relative to Spencer J. Carey United States Spencer J. Carey's profile →
Citations per field
00.5×2×4×6×7.7×
Spencer J. Carey · 1×
Citations per year

Countries citing papers authored by Anthony Goodrow

Since Specialization
Citations

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

Fields of papers citing papers by Anthony Goodrow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Anthony Goodrow, 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 Anthony Goodrow Line = papers co-authored together Anthony Goodrow links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 200886
2 200775
3 200951
4 200845
5 201039
6 200927
7 200922
8 201418
9 201411

About Anthony Goodrow

Anthony Goodrow is a scholar working on Catalysis, Materials Chemistry, Polymers and Plastics, Ocean Engineering and Spectroscopy, having authored 9 papers that have together received 374 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (4 papers), Catalysis and Oxidation Reactions (4 papers), Advanced Chemical Physics Studies (3 papers), Machine Learning in Materials Science (3 papers), Reservoir Engineering and Simulation Methods (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Oil and Gas Production Techniques (2 papers) and Transition Metal Oxide Nanomaterials (2 papers). The work is most often cited by research in Catalysis (200 citations), Materials Chemistry (265 citations), Inorganic Chemistry (40 citations), Atomic and Molecular Physics, and Optics (81 citations) and Polymers and Plastics (36 citations). Anthony Goodrow has collaborated with scholars based in United States. Frequent co-authors include Alexis T. Bell, Martin Head‐Gordon, Jennifer Strunk, Chris E. Shuchart, Rajes Sau and Christian Sebastian Jakob Mayer. Their work appears in journals such as The Journal of Physical Chemistry C, The Journal of Chemical Physics, Chemical Physics Letters, Journal of Catalysis and International Petroleum Technology Conference.

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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