Conor D. Rankine
- Materials Chemistry
- Atomic and Molecular Physics, and Optics
- Radiation top 10%
- Biomedical Engineering
- Computational Theory and Mathematics top 10%
- Co-authors
- Thomas J. PenfoldCaroline E. H. DessentJ. Pedro F. NunesDerek A. WannM. S. RobinsonJean‐Claude GuilleminJulien EngDiego Gianolio
- Topics
- Machine Learning in Materials Science (9 papers)X-ray Spectroscopy and Fluorescence Analysis (7 papers)Spectroscopy and Quantum Chemical Studies (6 papers)
- Partner nations
- United KingdomNew ZealandUnited States
In The Last Decade
Conor D. Rankine
27 papers receiving 322 citations
Peers
Comparison fields: 5 of 58
- Materials Chemistry 204
- Atomic and Molecular Physics, and Optics 77
- Radiation 66
- Biomedical Engineering 43
- Computational Theory and Mathematics 41
Countries citing papers authored by Conor D. Rankine
This map shows the geographic impact of Conor D. Rankine'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 Conor D. Rankine with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor D. Rankine more than expected).
Fields of papers citing papers by Conor D. Rankine
This network shows the impact of papers produced by Conor D. Rankine. 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 Conor D. Rankine. The network helps show where Conor D. Rankine may publish in the future.
Co-authorship network of co-authors of Conor D. Rankine
This figure shows the co-authorship network connecting the top 25 collaborators of Conor D. Rankine. A scholar is included among the top collaborators of Conor D. Rankine 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 Conor D. Rankine. Conor D. Rankine 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 | 6 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 4 | |
| 8 | 11 | |
| 9 | 11 | |
| 10 | 30 | |
| 11 | 4 | |
| 12 | 4 | |
| 13 | 12 | |
| 14 | 4 | |
| 15 | 15 | |
| 16 | 19 | |
| 17 | 7 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | 15 |
About Conor D. Rankine
Conor D. Rankine is a scholar working on Radiation, Physical and Theoretical Chemistry and Spectroscopy, having authored 28 papers that have together received 326 indexed citations. Recurring topics across this work include Machine Learning in Materials Science (9 papers), X-ray Spectroscopy and Fluorescence Analysis (7 papers) and Spectroscopy and Quantum Chemical Studies (6 papers). The work is most often cited by research in Radiation (66 citations), Structural Biology (7 citations) and Physical and Theoretical Chemistry (40 citations). Conor D. Rankine has collaborated with scholars based in United Kingdom, New Zealand and United States. Frequent co-authors include Thomas J. Penfold, Caroline E. H. Dessent, J. Pedro F. Nunes, Derek A. Wann, M. S. Robinson, Jean‐Claude Guillemin, Julien Eng, Diego Gianolio, Martin Centurion and Thomas Pope. Their work appears in journals such as The Journal of Chemical Physics, Chemical Physics Letters and Nanoscale.
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.