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 Martin Neil sits on this spectrum.
This scientist: 129 publications — 18th percentile
18% 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 Martin Neil sits on this spectrum.
This scientist: 42 D-Index — 43rd percentile
43% of scientists in this discipline score the same or lower.
The last bar groups every scientist with 131 D-Index or more.
Martin Neil is affiliated with Queen Mary University of London in the United Kingdom. Their research primarily lies within the field of Computer Science, with a strong focus on Artificial Intelligence, Management Science and Operations Research, Information Systems, Statistics, Probability and Uncertainty, and Sociology and Political Science.
Their work centers on topics including Bayesian Modeling and Causal Inference, Risk and Safety Analysis, Bayesian Methods and Mixture Models, Machine Learning in Healthcare, COVID-19 epidemiological studies, COVID-19 Digital Contact Tracing, and Data Quality and Management.
Among recent publications authored or co-authored by Martin Neil are:
Martin Neil frequently collaborates with other researchers, including Norman Fenton, Scott McLachlan, Magda Osman, Evangelia Kyrimi, and Joshua L. Hunte.
Their published work appears in a variety of academic venues, most commonly in the following:
N.E. Fenton;M. Neil
Norman Fenton;Martin Neil
Norman E. Fenton;Martin Neil
Martin Neil;So p
Martin Neil;Norman Fenton;Lars Nielson
Norman E. Fenton;Martin Neil
Norman E. Fenton;Martin Neil;Jose Galan Caballero
Norman Fenton;Martin Neil;William Marsh;Peter Hearty
N. Fenton;P. Krause;M. Neil
Norman E. Fenton;Martin Neil;David A. Lagnado
Martin Neil;Norman Fenton;Manesh Tailor
Martin Neil;Manesh Tailor;David Marquez
A. Joseph;N. E. Fenton;M. Neil
Anthony C. Constantinou;Norman E. Fenton;Martin Neil
Norman E. Fenton;Martin Neil
David Marquez;Martin Neil;Norman E. Fenton
Norman Fenton;William Marsh;Martin Neil;Patrick Cates
Norman Fenton;Martin Neil;William Marsh;Peter Hearty
M. Neil;N. Fenton;S. Forey;R. Harris
Vahid Khodakarami;Norman Fenton;Martin Neil
If you think any of the details on this page are incorrect, let us know.
Exploring a career in Computer Science opens doors to countless opportunities, both in the tech industry and beyond. For many students, flexibility and affordability are top concerns. Thankfully, there are many cheapest online degrees in Computer Science, making high-quality education accessible without breaking the bank.
Worried about your GPA? Don’t be discouraged—numerous online schools that accept low gpa can help you pursue your dreams, regardless of your academic background. Accelerated options are another pathway; some of the fastest computer science degree programs online let you graduate and enter the workforce sooner.
Additionally, the versatility of a Computer Science degree means you’re not limited to just one field. If you’re also interested in interdisciplinary careers, you might wonder, what can i do with an environmental science degree? Many roles now blend tech skills with environmental or other specialized fields, expanding your career possibilities even further.
Pfizer (United States)
University of Florida
Sapienza University of Rome
University of Barcelona
National Institutes of Health
French Research Institute for Exploitation of the Sea
National Institute of Geophysics and Volcanology
Geoscience Australia
Cleveland Clinic Lerner College of Medicine
University of Kassel
Xi'an Jiaotong University
National University of Distance Education
Stanford University
Monash University
The Ohio State University
Purdue University West Lafayette
