Matthew P. Johnson

68 total papers · 1.1k total citations
37 papers, 561 citations indexed

About

Matthew P. Johnson is a scholar working on Computer Networks and Communications, Artificial Intelligence and Electrical and Electronic Engineering. According to data from OpenAlex, Matthew P. Johnson has authored 37 papers receiving a total of 561 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Computer Networks and Communications, 7 papers in Artificial Intelligence and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Matthew P. Johnson's work include Optimization and Search Problems (14 papers), Energy Efficient Wireless Sensor Networks (12 papers) and Mobile Ad Hoc Networks (11 papers). Matthew P. Johnson is often cited by papers focused on Optimization and Search Problems (14 papers), Energy Efficient Wireless Sensor Networks (12 papers) and Mobile Ad Hoc Networks (11 papers). Matthew P. Johnson collaborates with scholars based in United States, United Kingdom and Saudi Arabia. Matthew P. Johnson's co-authors include Amotz Bar-Noy, Thomas La Porta, Hosam Rowaihy, Dinesh Verma, T. D. K. Brown, Sharanya Eswaran, Sam Kwong, K.S. Tang, K.F. Man and M.J. Grimble and has published in prestigious journals such as Ecological Applications, IEEE Transactions on Wireless Communications and IEEE Transactions on Parallel and Distributed Systems.

In The Last Decade

Matthew P. Johnson

32 papers receiving 540 citations

Author Peers

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

Author						Papers	Cites
Matthew P. Johnson	294	167	135	52	51	37	561
Jia Yuan Yu	179 0.6×	190 1.1×	195 1.4×	82 1.6×	57 1.1×	89	694
Travis Desell	188 0.6×	58 0.3×	156 1.2×	73 1.4×	27 0.5×	60	543
Rammohan K. Ragade	111 0.4×	46 0.3×	119 0.9×	46 0.9×	32 0.6×	49	571
Peter Malík	79 0.3×	72 0.4×	194 1.4×	92 1.8×	30 0.6×	31	621
Vlad-Mihai Sima	212 0.7×	160 1.0×	168 1.2×	40 0.8×	26 0.5×	30	681
Jesús Cid‐Sueiro	212 0.7×	151 0.9×	301 2.2×	80 1.5×	40 0.8×	60	599
Chia-Pang Chen	209 0.7×	225 1.3×	40 0.3×	30 0.6×	78 1.5×	28	571
Yin Wang	186 0.6×	117 0.7×	102 0.8×	21 0.4×	7 0.1×	36	620
Walter D. Potter	97 0.3×	43 0.3×	171 1.3×	103 2.0×	26 0.5×	46	525
Jongho Won	337 1.1×	183 1.1×	167 1.2×	73 1.4×	34 0.7×	22	633

Countries citing papers authored by Matthew P. Johnson

Since Specialization

Citations

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

Fields of papers citing papers by Matthew P. Johnson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew P. Johnson

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