Connor W. Coley
- Materials Chemistry top 0.5%
- Computational Theory and Mathematics top 0.05%
- Molecular Biology top 2%
- Biomedical Engineering top 1%
- Artificial Intelligence top 2%
- Co-authors
- Klavs F. JensenWilliam H. GreenRegina BarzilayTommi JaakkolaLuke RogersWengong JinWenhao GaoHanyu Gao
- Topics
- Machine Learning in Materials Science (77 papers)Computational Drug Discovery Methods (73 papers)Innovative Microfluidic and Catalytic Techniques Innovation (29 papers)
- Partner nations
- United StatesChinaSwitzerland
In The Last Decade
Connor W. Coley
123 papers receiving 8.3k citations
Hit Papers
Peers
Comparison fields: 5 of 178
- Materials Chemistry 5.1k
- Computational Theory and Mathematics 4.4k
- Molecular Biology 3.0k
- Biomedical Engineering 1.8k
- Artificial Intelligence 770
Countries citing papers authored by Connor W. Coley
This map shows the geographic impact of Connor W. Coley'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 Connor W. Coley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Connor W. Coley more than expected).
Fields of papers citing papers by Connor W. Coley
This network shows the impact of papers produced by Connor W. Coley. 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 Connor W. Coley. The network helps show where Connor W. Coley may publish in the future.
Co-authorship network of co-authors of Connor W. Coley
This figure shows the co-authorship network connecting the top 25 collaborators of Connor W. Coley. A scholar is included among the top collaborators of Connor W. Coley 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 Connor W. Coley. Connor W. Coley is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 5 | |
| 3 | 7 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 54 | |
| 9 | 39 | |
| 10 | 9 | |
| 11 | 15 | |
| 12 | 21 | |
| 13 | 45 | |
| 14 | 48 | |
| 15 | 138 | |
| 16 | 179 | |
| 17 | 231 | |
| 18 | 291 | |
| 19 | 34 | |
| 20 | 35 |
About Connor W. Coley
Connor W. Coley is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Biomedical Engineering, having authored 130 papers that have together received 8.5k indexed citations. Recurring topics across this work include Machine Learning in Materials Science (77 papers), Computational Drug Discovery Methods (73 papers) and Innovative Microfluidic and Catalytic Techniques Innovation (29 papers). The work is most often cited by research in Computational Theory and Mathematics (4.4k citations), Materials Chemistry (5.1k citations) and Molecular Biology (3.0k citations). Connor W. Coley has collaborated with scholars based in United States, China and Switzerland. Frequent co-authors include Klavs F. Jensen, William H. Green, Regina Barzilay, Tommi Jaakkola, Luke Rogers, Wengong Jin, Wenhao Gao, Hanyu Gao, Timothy F. Jamison and Milad Abolhasani. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.