Conor D. Rankine

51 total papers · 465 total citations
28 papers, 324 citations indexed

About

Conor D. Rankine is a scholar working on Materials Chemistry, Atomic and Molecular Physics, and Optics and Radiation. According to data from OpenAlex, Conor D. Rankine has authored 28 papers receiving a total of 324 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 8 papers in Atomic and Molecular Physics, and Optics and 7 papers in Radiation. Recurrent topics in Conor D. Rankine's work include Machine Learning in Materials Science (9 papers), X-ray Spectroscopy and Fluorescence Analysis (7 papers) and Advanced Chemical Physics Studies (6 papers). Conor D. Rankine is often cited by papers focused on Machine Learning in Materials Science (9 papers), X-ray Spectroscopy and Fluorescence Analysis (7 papers) and Advanced Chemical Physics Studies (6 papers). Conor D. Rankine collaborates with scholars based in United Kingdom, New Zealand and Saudi Arabia. Conor D. Rankine's 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, S. H. Glenzer, Cate S. Anstöter and Stuart Young and has published in prestigious journals such as The Journal of Chemical Physics, Chemical Physics Letters and Nanoscale.

In The Last Decade

Conor D. Rankine

27 papers receiving 321 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Conor D. Rankine 197 77 65 42 41 28 324
P. W. Loeffen 104 0.5× 49 0.6× 83 1.3× 29 0.7× 3 0.1× 18 349
Mahmoud K. Abdel-Latif 231 1.2× 54 0.7× 15 0.2× 46 1.1× 7 0.2× 21 362
Y. Saito 159 0.8× 48 0.6× 29 0.4× 27 0.6× 3 0.1× 19 312
Sergey A. Pisarev 118 0.6× 32 0.4× 5 0.1× 28 0.7× 19 0.5× 40 349
Yifan Jin 69 0.4× 119 1.5× 8 0.1× 19 0.5× 14 0.3× 20 277
H. Meister 110 0.6× 126 1.6× 66 1.0× 49 1.2× 3 0.1× 24 306
Julia Westermayr 250 1.3× 130 1.7× 4 0.1× 19 0.5× 107 2.6× 18 366
Bruno Landeros‐Rivera 118 0.6× 54 0.7× 6 0.1× 19 0.5× 17 0.4× 30 320
Alessandra Ciavardini 84 0.4× 145 1.9× 17 0.3× 32 0.8× 4 0.1× 34 350
Taichi Inagaki 70 0.4× 50 0.6× 5 0.1× 20 0.5× 11 0.3× 36 313

Countries citing papers authored by Conor D. Rankine

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026