Nuala M. Caffrey

29 total papers · 1.2k total citations
23 papers, 1.0k citations indexed

About

Nuala M. Caffrey is a scholar working on Materials Chemistry, Electrical and Electronic Engineering and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Nuala M. Caffrey has authored 23 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Materials Chemistry, 11 papers in Electrical and Electronic Engineering and 8 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Nuala M. Caffrey's work include Graphene research and applications (10 papers), Quantum and electron transport phenomena (6 papers) and MXene and MAX Phase Materials (5 papers). Nuala M. Caffrey is often cited by papers focused on Graphene research and applications (10 papers), Quantum and electron transport phenomena (6 papers) and MXene and MAX Phase Materials (5 papers). Nuala M. Caffrey collaborates with scholars based in Ireland, Sweden and Russia. Nuala M. Caffrey's co-authors include Majid Beidaghi, Meni Wanunu, Armin VahidMohammadi, Mehrnaz Mojtabavi, Stefano Sanvito, Igor A. Abrikosov, James M. Rondinelli, Nicola A. Spaldin, Rositsa Yakimova and Thomas Archer and has published in prestigious journals such as Physical Review Letters, Advanced Materials and Nano Letters.

In The Last Decade

Nuala M. Caffrey

23 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Nuala M. Caffrey 772 432 407 160 157 23 1.0k
Wenzhi Lin 888 1.2× 413 1.0× 252 0.6× 178 1.1× 118 0.8× 28 1.1k
M. Cheon 493 0.6× 246 0.6× 270 0.7× 277 1.7× 129 0.8× 38 800
H. G. Salunke 583 0.8× 258 0.6× 316 0.8× 115 0.7× 156 1.0× 41 962
Yeonbae Lee 768 1.0× 370 0.9× 315 0.8× 146 0.9× 76 0.5× 19 1.0k
Yuxuan Peng 680 0.9× 262 0.6× 234 0.6× 207 1.3× 171 1.1× 32 852
Ziyuan Chen 472 0.6× 156 0.4× 344 0.8× 166 1.0× 165 1.1× 32 824
J. de la Venta 757 1.0× 317 0.7× 579 1.4× 200 1.3× 146 0.9× 36 1.1k
Ulrich Wurstbauer 699 0.9× 457 1.1× 198 0.5× 321 2.0× 181 1.2× 18 1.1k
S. Nakahara 683 0.9× 527 1.2× 154 0.4× 195 1.2× 148 0.9× 19 945
Leandro Seixas 938 1.2× 403 0.9× 166 0.4× 233 1.5× 96 0.6× 29 1.1k

Countries citing papers authored by Nuala M. Caffrey

Since Specialization
Citations

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

Fields of papers citing papers by Nuala M. Caffrey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nuala M. Caffrey

This figure shows the co-authorship network connecting the top 25 collaborators of Nuala M. Caffrey. A scholar is included among the top collaborators of Nuala M. Caffrey 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 Nuala M. Caffrey. Nuala M. Caffrey is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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