Philip G. Blakeman

22 total papers · 850 total citations
21 papers, 706 citations indexed

About

Philip G. Blakeman is a scholar working on Materials Chemistry, Automotive Engineering and Catalysis. According to data from OpenAlex, Philip G. Blakeman has authored 21 papers receiving a total of 706 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Materials Chemistry, 12 papers in Automotive Engineering and 7 papers in Catalysis. Recurrent topics in Philip G. Blakeman's work include Catalytic Processes in Materials Science (16 papers), Vehicle emissions and performance (12 papers) and Catalysis and Oxidation Reactions (6 papers). Philip G. Blakeman is often cited by papers focused on Catalytic Processes in Materials Science (16 papers), Vehicle emissions and performance (12 papers) and Catalysis and Oxidation Reactions (6 papers). Philip G. Blakeman collaborates with scholars based in Germany, United States and United Kingdom. Philip G. Blakeman's co-authors include Andrew P. Walker, Ronny Allansson, M. V. Twigg, Hai-Ying Chen, Howard Hess, Barry J. Cooper, Peter J. Silcock, Joseph M. Fedeyko, Jillian Collier and Raj R. Rajaram and has published in prestigious journals such as Applied Catalysis B: Environmental, Chemical Engineering Journal and Catalysis Today.

In The Last Decade

Philip G. Blakeman

20 papers receiving 654 citations

Author Peers

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

Author						Papers	Cites
Philip G. Blakeman	523	273	215	179	148	21	706
G. Belot	480 0.9×	292 1.1×	166 0.8×	187 1.0×	99 0.7×	29	837
Isidro Mejía‐Centeno	467 0.9×	236 0.9×	94 0.4×	221 1.2×	102 0.7×	33	710
Carolyn P. Hubbard	571 1.1×	384 1.4×	94 0.4×	235 1.3×	81 0.5×	23	713
Rachel Muncrief	533 1.0×	434 1.6×	148 0.7×	324 1.8×	68 0.5×	24	809
James W. Girard	506 1.0×	270 1.0×	262 1.2×	196 1.1×	400 2.7×	23	844
John P.A. Neeft	703 1.3×	466 1.7×	103 0.5×	183 1.0×	110 0.7×	12	886
Pär Gabrielsson	572 1.1×	411 1.5×	55 0.3×	234 1.3×	72 0.5×	27	664
Joseph E. Kubsh	343 0.7×	116 0.4×	389 1.8×	100 0.6×	204 1.4×	30	704
J. Leyrer	656 1.3×	390 1.4×	67 0.3×	261 1.5×	59 0.4×	19	764
Yan Tan	274 0.5×	68 0.2×	237 1.1×	129 0.7×	262 1.8×	21	636

Countries citing papers authored by Philip G. Blakeman

Since Specialization

Citations

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

Fields of papers citing papers by Philip G. Blakeman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip G. Blakeman

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