Mark McCartney

81 papers receiving 743 citations

Peers

Mark McCartney
Comparison fields: 5 of 121
  • Transportation 176
  • Statistical and Nonlinear Physics 120
  • Control and Systems Engineering 174
  • Building and Construction 90
  • Computer Vision and Pattern Recognition 129
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Roberto da Silva Brazil
Nathaniel Stewart Canada
Yinghong Li China
Seung Kee Han South Korea
Doochul Kim South Korea
Ken A. Hawick New Zealand
Macoto Kikuchi Japan
Chenhui Li China
Aonghus Lawlor Ireland
Mark McCartney relative to Roberto da Silva Brazil Roberto da Silva's profile →
Citations per field
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Roberto da Silva · 1×
Citations per year

Countries citing papers authored by Mark McCartney

Since Specialization
Citations

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

Fields of papers citing papers by Mark McCartney

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Mark McCartney, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mark McCartney Line = papers co-authored together Mark McCartney links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 90 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2022102
2 200355
3 201150
4 201649
5 200246
6 200530
7 199330
8 199722
9 200820
10 200419
11 200318
12 199218
13 202217
14 201116
15 201916
16 200215
17 199014
18 200714
19 200910
20 200710

About Mark McCartney

Mark McCartney is a scholar working on Control and Systems Engineering, Atomic and Molecular Physics, and Optics, Transportation, Statistical and Nonlinear Physics and Sociology and Political Science, having authored 90 papers that have together received 801 indexed citations. Recurring topics across this work include Traffic control and management (15 papers), Transportation Planning and Optimization (14 papers), Atomic and Molecular Physics (13 papers), Evolution and Genetic Dynamics (9 papers), Nuclear physics research studies (7 papers), Evolutionary Game Theory and Cooperation (7 papers), Evacuation and Crowd Dynamics (7 papers) and Mathematical and Theoretical Epidemiology and Ecology Models (6 papers). The work is most often cited by research in Transportation (176 citations), Statistical and Nonlinear Physics (120 citations), Control and Systems Engineering (174 citations), Building and Construction (90 citations) and Computer Vision and Pattern Recognition (129 citations). Mark McCartney has collaborated with scholars based in United Kingdom, China and United States. Frequent co-authors include Malachy Carey, David H. Glass, D S F Crothers, Ali Sajjad, Shuwei Chen, Ying-En Ge, Colm McAlinden, Jonathan E. Moore, Bryan Scotney and Jamshed Memon. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Physics B Atomic Molecular and Optical Physics, Communications in Nonlinear Science and Numerical Simulation, Teaching Mathematics and its Applications An International Journal of the IMA and Computer Physics Communications.

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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