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 Geoffrey Holmes sits on this spectrum.
This scientist: 182 publications — 39th percentile
39% of scientists in this discipline score the same or lower.
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 Geoffrey Holmes sits on this spectrum.
This scientist: 58 D-Index — 75th percentile
75% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Geoffrey Holmes is affiliated with the University of Waikato in New Zealand. Their research primarily focuses on computer science, with significant contributions in artificial intelligence, computer vision and pattern recognition, biomedical engineering, analytical chemistry, and biophysics.
The topics central to their work include:
Holmes has published extensively, with notable papers such as:
Their work appears frequently in publication venues including arXiv (Cornell University), Chemometrics and Intelligent Laboratory Systems, IEEE Transactions on NanoBioscience, Journal of the Royal Society of New Zealand, and PeerJ Computer Science.
Holmes collaborates regularly with several researchers, with frequent co-authors being:
Mark Hall;Eibe Frank;Geoffrey Holmes;Bernhard Pfahringer
Jesse Read;Bernhard Pfahringer;Geoff Holmes;Eibe Frank
Albert Bifet;Geoffrey Holmes;Bernhard Pfahringer;Philipp Kranen
M.A. Hall;G. Holmes
G. Holmes;A. Donkin;I.H. Witten
Eibe Frank;Mark Hall;Len Trigg;Geoffrey Holmes
Albert Bifet;Geoff Holmes;Richard Kirkby;Bernhard Pfahringer
Jesse Read;Bernhard Pfahringer;Geoff Holmes;Eibe Frank
Ian H. Witten;Eibe Frank;Leonard E. Trigg;Mark A. Hall
Heitor M. Gomes;Albert Bifet;Jesse Read;Jean Paul Barddal
Albert Bifet;Geoff Holmes;Bernhard Pfahringer;Richard Kirkby
Eibe Frank;Mark A. Hall;Geoffrey Holmes;Richard Kirkby
Ashraf M. Kibriya;Eibe Frank;Bernhard Pfahringer;Geoffrey Holmes
J. Read;B. Pfahringer;G. Holmes
Eibe Frank;Yong Wang;Stuart Inglis;Geoffrey Holmes
Indre Zliobaite;Albert Bifet;Bernhard Pfahringer;Geoffrey Holmes
Remco R. Bouckaert;Eibe Frank;Mark A. Hall;Geoffrey Holmes
Albert Bifet;Geoff Holmes;Bernhard Pfahringer
Geoffrey Holmes;Mark Hall;Eibe Frank
Jesse Read;Peter Reutemann;Bernhard Pfahringer;Geoff Holmes
If you think any of the details on this page are incorrect, let us know.
The field of computer science offers a wide range of online study options, making it more flexible than ever. For those seeking quick entry into the tech workforce, consider pursuing easy licenses and certifications to get. These credentials can enhance your resume and open doors to well-paying roles, even before completing a full degree.
If you’re looking for a foundational qualification, 1 year associate degree programs online can start you on your career path efficiently. These programs balance affordability and time investment, helping you build key skills in a short period.
For professionals aiming to advance quickly, the quickest cheapest masters degree options provide an accelerated and budget-friendly route to further specialization. Choosing a field aligned with industry needs is essential for maximizing your return on investment. Explore most valuable masters degrees to discover programs with high demand and strong salary potential.
Whether you’re starting out or upskilling, these online pathways in computer science offer flexible, targeted learning to support your career goals.
Queen's University Belfast
Shanghai Jiao Tong University
Helmholtz Zentrum München
Tsinghua University
Texas A&M University
University of Reading
Ruhr University Bochum
Technion – Israel Institute of Technology
Qualcomm (United States)
Hitachi (Japan)
Imperial College London
University of Ulsan
University of Western Australia
University of Chicago
Mayo Clinic
Dartmouth College
