Christopher Sutton

4.1k citations
40 papers · 3.2k indexed · 1 hit paper · h-index 22

Christopher Sutton

38 papers receiving 3.1k citations

Hit Papers

New tolerance factor to predict the stability of perovski...1.2k20192026202120234008001.2k

Peers

Christopher Sutton
Comparison fields: 5 of 105
  • Materials Chemistry 1.9k
  • Catalysis 217
  • Electrical and Electronic Engineering 1.8k
  • Electronic, Optical and Magnetic Materials 561
  • Physical and Theoretical Chemistry 247
Replace Roel S. Sánchez‐Carrera with:
Roel S. Sánchez‐Carrera United States
Harald Oberhofer Germany
Luca M. Ghiringhelli Germany
Akihiro Shimizu Japan
Christopher J. Bartel United States
Jonathan P. Mailoa United States
Matthew S. Dyer United Kingdom
Ville Havu Finland
Michael Kocher United States
Deyu Lu United States
Christopher Sutton relative to Roel S. Sánchez‐Carrera United States Roel S. Sánchez‐Carrera's profile →
Citations per field
00.5×10.5×
Roel S. Sánchez‐Carrera · 1×
Citations per year

Countries citing papers authored by Christopher Sutton

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Sutton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20241
2 202411
3 20247
4 202410
5 20242
6 20240
7 202321
8 202317
9 202235
10 202087
11 202016
12 202048
13 202098
14 2018309
15 201814
16 201715
17 201759
18 201378
19 2011241
20 19978

About Christopher Sutton

Christopher Sutton is a scholar working on Catalysis, Materials Chemistry and Physical and Theoretical Chemistry, having authored 40 papers that have together received 3.2k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (13 papers), Organic Electronics and Photovoltaics (8 papers), Music and Audio Processing (4 papers), Perovskite Materials and Applications (4 papers), Inorganic Chemistry and Materials (4 papers), Advanced Photocatalysis Techniques (4 papers), Organic and Molecular Conductors Research (4 papers) and Electrocatalysts for Energy Conversion (3 papers). The work is most often cited by research in Materials Chemistry (1.9k citations), Catalysis (217 citations) and Electrical and Electronic Engineering (1.8k citations). Christopher Sutton has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Christopher J. Bartel, Bryan R. Goldsmith, Jean‐Luc Brédas, Matthias Scheffler, Luca M. Ghiringhelli, Charles B. Musgrave, Runhai Ouyang, Chad Risko, John S. Sears and Thomas Körzdörfer. Their work appears in journals such as Chemistry of Materials, Journal of the American Chemical Society, The Journal of Physical Chemistry C, The Journal of Chemical Physics and Inorganic Chemistry.

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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