Graeme Nawn

83 total papers · 1.1k total citations
32 papers, 963 citations indexed

About

Graeme Nawn is a scholar working on Electrical and Electronic Engineering, Polymers and Plastics and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Graeme Nawn has authored 32 papers receiving a total of 963 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Electrical and Electronic Engineering, 7 papers in Polymers and Plastics and 7 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Graeme Nawn's work include Fuel Cells and Related Materials (17 papers), Advanced Battery Materials and Technologies (10 papers) and Advanced battery technologies research (8 papers). Graeme Nawn is often cited by papers focused on Fuel Cells and Related Materials (17 papers), Advanced Battery Materials and Technologies (10 papers) and Advanced battery technologies research (8 papers). Graeme Nawn collaborates with scholars based in Italy, United States and Spain. Graeme Nawn's co-authors include Vito Di Noto, Keti Vezzù, Federico Bertasi, Enrico Negro, Gioele Pagot, Giuseppe Pace, Robin G. Hicks, Brian O. Patrick, Stefano Polizzi and Robert McDonald and has published in prestigious journals such as Journal of the American Chemical Society, Chemistry of Materials and Advanced Functional Materials.

In The Last Decade

Graeme Nawn

32 papers receiving 957 citations

Author Peers

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

Author Last Decade Papers Cites
Graeme Nawn 705 303 244 182 148 32 963
Michael Yandrasits 989 1.4× 431 1.4× 238 1.0× 417 2.3× 183 1.2× 44 1.2k
Shuqi Dai 452 0.6× 385 1.3× 539 2.2× 209 1.1× 90 0.6× 40 1.2k
Ersan Harputlu 481 0.7× 249 0.8× 493 2.0× 187 1.0× 143 1.0× 49 1.1k
P.D. Jannakoudakis 507 0.7× 178 0.6× 143 0.6× 85 0.5× 175 1.2× 32 851
Subhajit Sarkar 631 0.9× 377 1.2× 293 1.2× 112 0.6× 100 0.7× 37 993
Zihui Song 663 0.9× 112 0.4× 495 2.0× 112 0.6× 102 0.7× 44 1.2k
Zhaohua Zhu 747 1.1× 329 1.1× 532 2.2× 113 0.6× 113 0.8× 31 1.1k
Fan Xu 586 0.8× 358 1.2× 264 1.1× 168 0.9× 91 0.6× 21 1.0k
Bin Wang 704 1.0× 149 0.5× 206 0.8× 201 1.1× 55 0.4× 35 897
A.D. Jannakoudakis 689 1.0× 281 0.9× 315 1.3× 115 0.6× 396 2.7× 45 1.2k

Countries citing papers authored by Graeme Nawn

Since Specialization
Citations

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

Fields of papers citing papers by Graeme Nawn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Graeme Nawn. 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 Graeme Nawn. The network helps show where Graeme Nawn may publish in the future.

Co-authorship network of co-authors of Graeme Nawn

This figure shows the co-authorship network connecting the top 25 collaborators of Graeme Nawn. A scholar is included among the top collaborators of Graeme Nawn 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 Graeme Nawn. Graeme Nawn 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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