Matthew J. Watson

125 total papers · 1.6k total citations
74 papers, 1.2k citations indexed

About

Matthew J. Watson is a scholar working on Materials Chemistry, Mechanical Engineering and Control and Systems Engineering. According to data from OpenAlex, Matthew J. Watson has authored 74 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Materials Chemistry, 17 papers in Mechanical Engineering and 16 papers in Control and Systems Engineering. Recurrent topics in Matthew J. Watson's work include Catalytic Processes in Materials Science (14 papers), Fault Detection and Control Systems (11 papers) and Catalysts for Methane Reforming (9 papers). Matthew J. Watson is often cited by papers focused on Catalytic Processes in Materials Science (14 papers), Fault Detection and Control Systems (11 papers) and Catalysts for Methane Reforming (9 papers). Matthew J. Watson collaborates with scholars based in New Zealand, United States and United Kingdom. Matthew J. Watson's co-authors include Carl S. Byington, Luqmanulhakim Baharudin, Michael Roemer, Patrick W. Kalgren, Aaron T. Marshall, Alex C.K. Yip, Vladimir B. Golovko, Nan Yang, Allan Scott and Christopher Oze and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of The Electrochemical Society.

In The Last Decade

Matthew J. Watson

70 papers receiving 1.1k citations

Author Peers

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

Author						Papers	Cites
Matthew J. Watson	441	283	280	166	134	74	1.2k
Fadwa Eljack	329 0.7×	278 1.0×	227 0.8×	181 1.1×	74 0.6×	55	1.3k
Hyungtae Cho	170 0.4×	552 2.0×	353 1.3×	288 1.7×	44 0.3×	104	1.5k
Shan Liang	332 0.8×	244 0.9×	113 0.4×	54 0.3×	207 1.5×	139	1.4k
Wei Zhao	134 0.3×	221 0.8×	76 0.3×	43 0.3×	270 2.0×	89	1.2k
En Sup Yoon	558 1.3×	345 1.2×	134 0.5×	112 0.7×	29 0.2×	106	1.4k
Shuo Liu	168 0.4×	181 0.6×	102 0.4×	135 0.8×	70 0.5×	92	976
Wenhe Wang	119 0.3×	259 0.9×	211 0.8×	21 0.1×	167 1.2×	65	1.2k
Yong Pan	87 0.2×	122 0.4×	460 1.6×	53 0.3×	83 0.6×	117	1.2k
Valeria Casson Moreno	154 0.3×	197 0.7×	274 1.0×	64 0.4×	85 0.6×	81	1.3k
Jun Wang	157 0.4×	258 0.9×	324 1.2×	44 0.3×	195 1.5×	71	1.3k

Countries citing papers authored by Matthew J. Watson

Since Specialization

Citations

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

Fields of papers citing papers by Matthew J. Watson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew J. Watson. 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 Matthew J. Watson. The network helps show where Matthew J. Watson may publish in the future.

Co-authorship network of co-authors of Matthew J. Watson

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew J. Watson. A scholar is included among the top collaborators of Matthew J. Watson 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 Matthew J. Watson. Matthew J. Watson 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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