Matthew Peacock

19 total papers · 517 total citations
14 papers, 304 citations indexed

About

Matthew Peacock is a scholar working on Computer Networks and Communications, Artificial Intelligence and Control and Systems Engineering. According to data from OpenAlex, Matthew Peacock has authored 14 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Networks and Communications, 5 papers in Artificial Intelligence and 4 papers in Control and Systems Engineering. Recurrent topics in Matthew Peacock's work include Network Security and Intrusion Detection (5 papers), Smart Grid Security and Resilience (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Matthew Peacock is often cited by papers focused on Network Security and Intrusion Detection (5 papers), Smart Grid Security and Resilience (3 papers) and Anomaly Detection Techniques and Applications (3 papers). Matthew Peacock collaborates with scholars based in Australia, United States and Netherlands. Matthew Peacock's co-authors include Michael N. Johnstone, Craig Valli, Patryk Szewczyk, Peter Hannay, Zubair Baig, Maxim Chernyshev, Naeem Syed, Ahmed Ibrahim, Thomas White and Andrew Jones and has published in prestigious journals such as Australasian Journal of Paramedicine, IEEE Transactions on Nuclear Science and Digital Investigation.

In The Last Decade

Matthew Peacock

14 papers receiving 291 citations

Author Peers

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

Author						Papers	Cites
Matthew Peacock	107	97	66	51	50	14	304
Juan Ignacio Vázquez	90 0.8×	58 0.6×	14 0.2×	18 0.4×	30 0.6×	29	214
Duo Lu	132 1.2×	96 1.0×	29 0.4×	48 0.9×	74 1.5×	20	324
Zhuzhu Wang	74 0.7×	73 0.8×	40 0.6×	22 0.4×	128 2.6×	24	360
Asif Iqbal Baba	106 1.0×	140 1.4×	16 0.2×	54 1.1×	53 1.1×	20	344
Lulwah M. Alkwai	114 1.1×	49 0.5×	65 1.0×	26 0.5×	46 0.9×	21	249
Abdulatif Alabdulatif	171 1.6×	92 0.9×	29 0.4×	88 1.7×	103 2.1×	20	360
Dan Puiu	121 1.1×	55 0.6×	13 0.2×	39 0.8×	73 1.5×	20	290
Muhammad Irfan Khalid	92 0.9×	127 1.3×	19 0.3×	26 0.5×	102 2.0×	21	361
Attila Frankó	134 1.3×	53 0.5×	38 0.6×	14 0.3×	35 0.7×	15	353
Jain-Shing Wu	47 0.4×	37 0.4×	31 0.5×	26 0.5×	59 1.2×	28	349

Countries citing papers authored by Matthew Peacock

Since Specialization

Citations

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

Fields of papers citing papers by Matthew Peacock

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Peacock

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