Michael Cox

22 papers receiving 1.3k citations

Michael Cox's Hit Papers

Multidimensional Scaling, Second Edition 2000 · 513 citations
5130+8+17Years since publication100200300400500

Peers

Michael Cox
Comparison fields: 5 of 176
  • Computational Mathematics 11
  • Computer Vision and Pattern Recognition 364
  • Radiological and Ultrasound Technology 58
  • Signal Processing 141
  • Artificial Intelligence 343
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Elena Deza Russia
Michael Jenkins Canada
Kristin Potter United States
Gilbert Saporta France
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Countries citing papers authored by Michael Cox

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cox

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 15 scholars most cited alongside Michael Cox, 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 Michael Cox Line = papers co-authored together Michael Cox links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multidimensional Scaling, Second Edition
Hit paper breakdown →
2000513
2 2007406
3 1996180
4 200279
5 199143
6 197437
7 201723
8 200820
9 199120
10 200013
11 199412
12 20089
13
The Mathematics of Banking and Finance
20066
14
Assimilation of public procurement innovation: An empirical analysis in light of transaction cost theory
20085
15 19814
16 20034
17 19983
18 19812
19 19831
20 19871

About Michael Cox

Michael Cox is a scholar working on Strategy and Management, Global and Planetary Change, Computer Vision and Pattern Recognition, Computational Mathematics and Artificial Intelligence, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Face and Expression Recognition (2 papers), Tensor decomposition and applications (2 papers), Forest Management and Policy (2 papers), Neural Networks and Applications (2 papers), Recycling and Waste Management Techniques (1 paper), Green IT and Sustainability (1 paper), Medical and Biological Sciences (1 paper) and Risk and Safety Analysis (1 paper). The work is most often cited by research in Computational Mathematics (11 citations), Computer Vision and Pattern Recognition (364 citations), Radiological and Ultrasound Technology (58 citations), Signal Processing (141 citations) and Artificial Intelligence (343 citations). Michael Cox has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Trevor F. Cox, Ian T. Jolliffe, George Erdos, Joan Harvey, João A. Branco, Lucy Asher, Melissa Bateson, Diana Mansour, Chan F. Lam and Peter R. Armstrong. Their work appears in journals such as Technometrics, The European Journal of Contraception & Reproductive Health Care, British Journal of Mathematical and Statistical Psychology, Public Opinion Quarterly and Electroencephalography and Clinical Neurophysiology.

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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