The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Steve R. Gunn sits on this spectrum.
The last bar groups every scientist with 991 publications or more.
The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Steve R. Gunn sits on this spectrum.
The last bar groups every scientist with 131 D-Index or more.
Steve R. Gunn is affiliated with the University of Southampton in the United Kingdom. Their research spans primarily the fields of Computer Science and Engineering, with a notable focus on Artificial Intelligence and its related subfields. Within their body of work, they have contributed significantly to areas such as Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, and Neural Networks and Applications.
Their research output includes papers published in various scientific venues, notably in IEEE Control Systems Letters, International Journal of Artificial Intelligence Tools, Proceedings of the Python in Science Conferences, and arXiv (Cornell University). These journals and conference proceedings cover topics ranging from control systems to embedded intelligence and computational resource optimization.
Key recent publications by Steve R. Gunn include:
The scientist's frequent coauthors include Jia Bi, Carl R. Richardson, Matthew C. Turner, Amadi Gabriel Udu, and Andrea Lecchini-Visintini, indicating collaborative efforts across multiple research projects.
Steve R. Gunn's work covers a range of subfields including Artificial Intelligence, Computational Mechanics, Control and Systems Engineering, Computer Networks and Communications, and Computer Vision and Pattern Recognition. The emphasis on neural networks is underscored by topics such as Neural Networks Stability and Synchronization and Neural Networks and Reservoir Computing, alongside applications in advanced neural network methodologies.
The publication record shows a pattern of engagement with topics vital to the development of AI techniques, leveraging mathematical frameworks and optimization algorithms to improve embedded intelligence and resource-efficient computational methods.
S.R. Gunn
I.M. Guyon;S.R. Gunn;M. Nikravesh;L. Zadeh
Isabelle Guyon;Steve Gunn;Asa Ben-Hur;Gideon Dror
Isabelle Guyon;Steve Gunn;Masoud Nikravesh;Lotfi A. Zadeh
Roger N. Gunn;Steve R. Gunn;Vincent J. Cunningham
Baofeng Guo;S.R. Gunn;R.I. Damper;J.D.B. Nelson
S.R. Gunn;M.S. Nixon
M. Brown;H.G. Lewis;S.R. Gunn
Roger N Gunn;Steve R Gunn;Federico E Turkheimer;John A D Aston;John A D Aston
Baofeng Guo;S.R. Gunn;R.I. Damper;J.D.B. Nelson
Martin Brown;Steve R. Gunn;Hugh G. Lewis
J. B. Gao;S. R. Gunn;C. J. Harris;M. Brown
Steve R. Gunn;Martin Brown;Kev M. Bossley
Baofeng Guo;R. I. Damper;Steve R. Gunn;J. D. B. Nelson
S. R. Gunn;J. S. Kandola
Steve R. Gunn
Jeremy Rogers;Steve Gunn
Craig Saunders;Marko Grobelnik;Steve Gunn;John Shawe-Taylor
S. Chen;S.R. Gunn;C.J. Harris
S. Chen;S.R. Gunn;C.J. Harris
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