Jonathan E. Sutton

1.1k citations
21 papers · 926 · h-index 16

Impact in

Papers in

    • Catalytic Processes in Materials Science 12
    • Machine Learning in Materials Science 7
    • Catalysis and Oxidation Reactions 10
    • Catalysts for Methane Reforming 3
    • Ammonia Synthesis and Nitrogen Reduction 2

Jonathan E. Sutton

21 papers receiving 919 citations

Peers

Jonathan E. Sutton
Comparison fields: 5 of 59
  • Catalysis 434
  • Renewable Energy, Sustainability and the Environment 295
  • Materials Chemistry 687
  • Process Chemistry and Technology 17
  • Inorganic Chemistry 66
Replace Carsten Stegelmann with:
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Citations per field
00.5×1.7×
Carsten Stegelmann · 1×
Citations per year

Countries citing papers authored by Jonathan E. Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan E. Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan E. Sutton. 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 Jonathan E. Sutton. The network helps show where Jonathan E. Sutton may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016133
2 2012117
3 2013106
4 201474
5 201469
6 201467
7 201647
8 201542
9 200739
10 201837
11 201636
12 201727
13 201725
14 202024
15 201221
16 201417
17 201614
18 201911
19 201810
20 20137

About Jonathan E. Sutton

Jonathan E. Sutton is a scholar working on Materials Chemistry, Catalysis, Renewable Energy, Sustainability and the Environment, Atomic and Molecular Physics, and Optics and Inorganic Chemistry, having authored 21 papers that have together received 926 indexed citations. Recurring topics across this work include Catalytic Processes in Materials Science (12 papers), Catalysis and Oxidation Reactions (10 papers), Electrocatalysts for Energy Conversion (8 papers), Machine Learning in Materials Science (7 papers), Advanced Chemical Physics Studies (5 papers), Catalysts for Methane Reforming (3 papers), Ammonia Synthesis and Nitrogen Reduction (2 papers) and Zeolite Catalysis and Synthesis (2 papers). The work is most often cited by research in Catalysis (434 citations), Renewable Energy, Sustainability and the Environment (295 citations), Materials Chemistry (687 citations), Process Chemistry and Technology (17 citations) and Inorganic Chemistry (66 citations). Jonathan E. Sutton has collaborated with scholars based in United States, Germany and Italy. Frequent co-authors include Dionisios G. Vlachos, Wei Guo, Markos A. Katsoulakis, Aditya Savara, Paraskevi Panagiotopoulou, Xenophon E. Verykios, Ariana Beste, Shengguang Wang, Steven H. Overbury and Vassili Vorotnikov. Their work appears in journals such as The Journal of Physical Chemistry C, ACS Catalysis, Journal of Catalysis, Industrial & Engineering Chemistry Research and Computer Physics Communications.

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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