Paul Cockshott

University of Glasgow

Papers

2

Total Citations

24

H-Index

2

About

Paul Cockshott is a researcher whose work bridges computer vision, economic planning, and the societal implications of technology. His key research areas include stereo vision, parallel computing, and the intersection of artificial intelligence with social values. A major contribution is his development of accelerated stereo-matching algorithms for multi-core CPUs and GPUs, as demonstrated in his 2014 paper on the topic, which was part of the CloPeMa project’s binocular robot-head vision system. This work has practical applications in robotics and real-time 3D reconstruction. Cockshott is also known for his provocative exploration of ethics and technology, notably in his 2016 paper "Humans, robots and values" (18 citations), which examines how automated systems might align with human moral frameworks. Beyond these papers, he has authored influential books on economic calculation in socialist societies and the thermodynamics of computation, earning him a reputation as a polymath. His interdisciplinary impact is reflected in citations across engineering, philosophy, and political economy, making him a distinctive voice for students and researchers interested in the social and technical dimensions of computing.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Humans, robots and values
18 citations · 2016
📈 Most Prolific Year: 2016 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Glasgow

Top Papers

  1. 1
    Humans, robots and values
    18 citations · 2016
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago