D.G. Rickerby

87 total papers · 2.2k total citations
60 papers, 1.6k citations indexed

About

D.G. Rickerby is a scholar working on Materials Chemistry, Mechanical Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, D.G. Rickerby has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Materials Chemistry, 15 papers in Mechanical Engineering and 12 papers in Electrical and Electronic Engineering. Recurrent topics in D.G. Rickerby's work include ZnO doping and properties (9 papers), Gas Sensing Nanomaterials and Sensors (9 papers) and Metal and Thin Film Mechanics (8 papers). D.G. Rickerby is often cited by papers focused on ZnO doping and properties (9 papers), Gas Sensing Nanomaterials and Sensors (9 papers) and Metal and Thin Film Mechanics (8 papers). D.G. Rickerby collaborates with scholars based in Italy, United States and Canada. D.G. Rickerby's co-authors include N. H. Macmillan, Andreas N. Skouloudis, Silvana Di Sabatino, Ansar-Ul-Haque Yasar, Prashant Kumar, C. Aakash, Carlo Ratti, Francesco Pilla, M.C. Horrillo and Alessandra Maria Serventi and has published in prestigious journals such as Physical review. B, Condensed matter, The Science of The Total Environment and Journal of the American Ceramic Society.

In The Last Decade

D.G. Rickerby

57 papers receiving 1.6k citations

Hit Papers

End-user perspective of l... 2017 2026 2020 2023 2017 100 200 300

Author Peers

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

Author Last Decade Papers Cites
D.G. Rickerby 736 398 371 346 320 60 1.6k
Donghai Zhang 461 0.6× 153 0.4× 239 0.6× 409 1.2× 204 0.6× 92 2.1k
Heinz Kaminski 426 0.6× 655 1.6× 301 0.8× 169 0.5× 194 0.6× 43 1.4k
Haosheng Chen 479 0.7× 125 0.3× 38 0.1× 295 0.9× 710 2.2× 94 1.7k
Denis J. Phares 221 0.3× 253 0.6× 152 0.4× 78 0.2× 156 0.5× 34 1.3k
Rui Yang 716 1.0× 108 0.3× 77 0.2× 202 0.6× 306 1.0× 126 2.2k
Enze Zhou 1.5k 2.0× 214 0.5× 239 0.6× 125 0.4× 296 0.9× 75 2.0k
Xiaoling Zhou 387 0.5× 300 0.8× 160 0.4× 202 0.6× 370 1.2× 58 1.5k
Di Wang 180 0.2× 76 0.2× 87 0.2× 239 0.7× 254 0.8× 99 1.4k
Xiaofei Wang 731 1.0× 29 0.1× 152 0.4× 563 1.6× 162 0.5× 107 1.7k
Qiang Zhong 458 0.6× 25 0.1× 109 0.3× 123 0.4× 213 0.7× 85 1.4k

Countries citing papers authored by D.G. Rickerby

Since Specialization
Citations

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

Fields of papers citing papers by D.G. Rickerby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D.G. Rickerby. 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 D.G. Rickerby. The network helps show where D.G. Rickerby may publish in the future.

Co-authorship network of co-authors of D.G. Rickerby

This figure shows the co-authorship network connecting the top 25 collaborators of D.G. Rickerby. A scholar is included among the top collaborators of D.G. Rickerby 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 D.G. Rickerby. D.G. Rickerby 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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