W. Paul Cockshott

527 total citations
44 papers, 281 citations indexed

About

W. Paul Cockshott is a scholar working on Economics and Econometrics, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, W. Paul Cockshott has authored 44 papers receiving a total of 281 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Economics and Econometrics, 9 papers in Computer Networks and Communications and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in W. Paul Cockshott's work include Economic Theory and Institutions (8 papers), Advanced Vision and Imaging (6 papers) and Algorithms and Data Compression (5 papers). W. Paul Cockshott is often cited by papers focused on Economic Theory and Institutions (8 papers), Advanced Vision and Imaging (6 papers) and Algorithms and Data Compression (5 papers). W. Paul Cockshott collaborates with scholars based in United Kingdom, United States and France. W. Paul Cockshott's co-authors include Allin Cottrell, J. Paul Siebert, Ashraf Ayoub, Malcolm Atkinson, Xiangyang Ju, Ian MacLaren, Jean‐Christophe Nebel, John N. Wilson, D. R. McGregor and Greg Michaelson and has published in prestigious journals such as Pattern Recognition Letters, Ultramicroscopy and Information and Software Technology.

In The Last Decade

W. Paul Cockshott

38 papers receiving 223 citations

Peers

W. Paul Cockshott
Comparison fields: 5 of 73
  • Economics and Econometrics 101
  • Sociology and Political Science 97
  • General Economics, Econometrics and Finance 68
  • Computer Networks and Communications 38
  • Computer Vision and Pattern Recognition 37
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Citations per field, relative to W. Paul Cockshott
W. Paul Cockshott · 1×
Citations per year, relative to W. Paul Cockshott
W. Paul Cockshott · 1×

Countries citing papers authored by W. Paul Cockshott

Since Specialization
Citations

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

Fields of papers citing papers by W. Paul Cockshott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by W. Paul Cockshott. 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 W. Paul Cockshott. The network helps show where W. Paul Cockshott may publish in the future.

Co-authorship network of co-authors of W. Paul Cockshott

This figure shows the co-authorship network connecting the top 25 collaborators of W. Paul Cockshott. A scholar is included among the top collaborators of W. Paul Cockshott 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 W. Paul Cockshott. W. Paul Cockshott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 6
3 1
4 8
5 1
6 0
7
Competing theories: wrong or not even wrong
2
8 5
9
Is economic planning hypercomputational? The argument from Cantor diagonalisation
6
10 4
11 2
12
Demography and the Falling Rate of Profit
0
13 3
14 1
15
Confocal microscopic image sequence compression using vector quantization and 3D pyramids
3
16 4
17 12
18 7
19 62
20 15

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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