Christopher M. Collins

868 citations
38 papers · 609 indexed · h-index 13
Topics
Machine Learning in Materials Science (11 papers)Catalysis and Oxidation Reactions (7 papers)Electronic and Structural Properties of Oxides (6 papers)

In The Last Decade

Christopher M. Collins

30 papers receiving 590 citations

Peers

Christopher M. Collins
Comparison fields: 5 of 75
  • Materials Chemistry 266
  • Electrical and Electronic Engineering 229
  • Electronic, Optical and Magnetic Materials 172
  • Ecology 49
  • Biomedical Engineering 48
Replace В. В. Соколов with:
В. В. Соколов Russia
Jun Geng China
Nicholas A. Miller United States
L. J. Brown Australia
Z. V. Popović Serbia
Junjie Li China
Haruyuki Ishii Japan
Alexandre Rocha Paschoal Brazil
Yakun Chen China
Christopher M. Collins relative to В. В. Соколов Russia В. В. Соколов's profile →
Citations per field
00.5×8.2×
В. В. Соколов · 1×
Citations per year

Countries citing papers authored by Christopher M. Collins

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Collins

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christopher M. Collins

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Collins. A scholar is included among the top collaborators of Christopher M. Collins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Christopher M. Collins. Christopher M. Collins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 2
3 0
4 0
5 4
6 2
7 0
8 0
9 2
10 4
11 0
12 5
13 33
14 4
15 0
16 7
17 74
18 32
19 60
20 1

About Christopher M. Collins

Christopher M. Collins is a scholar working on Health Informatics, Catalysis and Electronic, Optical and Magnetic Materials, having authored 38 papers that have together received 609 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (11 papers), Catalysis and Oxidation Reactions (7 papers) and Electronic and Structural Properties of Oxides (6 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (172 citations), Materials Chemistry (266 citations) and Catalysis (36 citations). Christopher M. Collins has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Matthew J. Rosseinsky, Matthew S. Dyer, George R. Darling, John B. Claridge, Laurence J. Hardwick, Filipe Braga, V.R. Dhanak, Tzu−Ho Wu, Michael J. Pitcher and David Hesp. Their work appears in journals such as Nature, Science and Journal of the American Chemical Society.

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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