Matthew McNaughton

31 total papers · 739 total citations
20 papers, 476 citations indexed

About

Matthew McNaughton is a scholar working on Artificial Intelligence, Software and Development. According to data from OpenAlex, Matthew McNaughton has authored 20 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 9 papers in Software and 5 papers in Development. Recurrent topics in Matthew McNaughton's work include Artificial Intelligence in Games (7 papers), Model-Driven Software Engineering Techniques (6 papers) and Software Engineering and Design Patterns (5 papers). Matthew McNaughton is often cited by papers focused on Artificial Intelligence in Games (7 papers), Model-Driven Software Engineering Techniques (6 papers) and Software Engineering and Design Patterns (5 papers). Matthew McNaughton collaborates with scholars based in Canada, United States and Australia. Matthew McNaughton's co-authors include Chris Urmson, Jin Woo Lee, John M. Dolan, Duane Szafron, Jonathan Schaeffer, Maria Cutumisu, David Parker, Michael Carbonaro, Hong Zhang and Paul Lu and has published in prestigious journals such as IEEE Intelligent Systems, ISA Transactions and Science of Computer Programming.

In The Last Decade

Matthew McNaughton

20 papers receiving 444 citations

Author Peers

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

Author						Papers	Cites
Matthew McNaughton	246	243	131	127	74	20	476
Andrew Best	194 0.8×	134 0.6×	76 0.6×	153 1.2×	9 0.1×	34	484
Klaas Jan de Kraker	158 0.6×	36 0.1×	154 1.2×	74 0.6×	66 0.9×	16	495
Luigi Cardamone	116 0.5×	133 0.5×	383 2.9×	93 0.7×	103 1.4×	17	470
Wolfgang Wahlster	136 0.6×	52 0.2×	213 1.6×	24 0.2×	46 0.6×	25	493
István Szita	51 0.2×	23 0.1×	417 3.2×	64 0.5×	70 0.9×	18	542
V. Vlahakis	388 1.6×	46 0.2×	21 0.2×	27 0.2×	32 0.4×	13	510
Bilal Kartal	76 0.3×	65 0.3×	284 2.2×	113 0.9×	32 0.4×	15	530
Riccardo Coppola	71 0.3×	64 0.3×	70 0.5×	41 0.3×	18 0.2×	50	489
Daniel J. Mankowitz	79 0.3×	45 0.2×	299 2.3×	124 1.0×	8 0.1×	19	527
Yali Du	86 0.3×	72 0.3×	266 2.0×	85 0.7×	23 0.3×	36	495

Countries citing papers authored by Matthew McNaughton

Since Specialization

Citations

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

Fields of papers citing papers by Matthew McNaughton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew McNaughton

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