Christopher R. Collins
- Materials Chemistry
- Computational Theory and Mathematics top 5%
- Ecology
- Organic Chemistry
- Molecular Biology
- Co-authors
- Roland KaysDavid YaronGeoffrey J. GordonO. Anatole von LilienfeldTomislav PintauerAndrew B. MaurerDanielle N. ChirdonKevin J. T. Noonan
- Topics
- Animal Ecology and Behavior Studies (2 papers)Machine Learning in Materials Science (2 papers)Computational Drug Discovery Methods (2 papers)
- Journals
- The Journal of Chemical PhysicsChemistry - A European JournalJournal of Chemical Theory and Computation
- Partner nations
- United StatesSwitzerlandIreland
In The Last Decade
Christopher R. Collins
8 papers receiving 303 citations
Peers
Comparison fields: 5 of 67
- Materials Chemistry 155
- Computational Theory and Mathematics 100
- Ecology 74
- Organic Chemistry 56
- Molecular Biology 50
Countries citing papers authored by Christopher R. Collins
This map shows the geographic impact of Christopher R. 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 R. 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 R. Collins more than expected).
Fields of papers citing papers by Christopher R. Collins
This network shows the impact of papers produced by Christopher R. 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 R. Collins. The network helps show where Christopher R. Collins may publish in the future.
Co-authorship network of co-authors of Christopher R. Collins
This figure shows the co-authorship network connecting the top 25 collaborators of Christopher R. Collins. A scholar is included among the top collaborators of Christopher R. 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 R. Collins. Christopher R. Collins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 81 | |
| 4 | 80 | |
| 5 | 55 | |
| 6 | 10 | |
| 7 | 11 | |
| 8 | 72 |
About Christopher R. Collins
Christopher R. Collins is a scholar working on Ecological Modeling, Computational Theory and Mathematics and General Agricultural and Biological Sciences, having authored 8 papers that have together received 315 indexed citations. Recurring topics across this work include Animal Ecology and Behavior Studies (2 papers), Machine Learning in Materials Science (2 papers) and Computational Drug Discovery Methods (2 papers). The work is most often cited by research in Computational Theory and Mathematics (100 citations), Materials Chemistry (155 citations) and Ecological Modeling (13 citations). Christopher R. Collins has collaborated with scholars based in United States, Switzerland and Ireland. Frequent co-authors include Roland Kays, David Yaron, Geoffrey J. Gordon, O. Anatole von Lilienfeld, Tomislav Pintauer, Andrew B. Maurer, Danielle N. Chirdon, Kevin J. T. Noonan, Yunyan Qiu and Stefan Bernhard. Their work appears in journals such as The Journal of Chemical Physics, Chemistry - A European Journal and Journal of Chemical Theory and Computation.
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.