Craig Saunders

26 papers and 1.0k indexed citations i.

About

Craig Saunders is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Craig Saunders has authored 26 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Craig Saunders’s work include Neural Networks and Applications (6 papers), Topic Modeling (6 papers) and Image Retrieval and Classification Techniques (5 papers). Craig Saunders is often cited by papers focused on Neural Networks and Applications (6 papers), Topic Modeling (6 papers) and Image Retrieval and Classification Techniques (5 papers). Craig Saunders collaborates with scholars based in United Kingdom, France and United States. Craig Saunders's co-authors include Alex Gammerman, Vladimir Vovk, John Shawe‐Taylor, Sándor Szedmák, Juho Rousu, Marko Grobelnik, Steve Gunn, Yizhao Ni, Carlton Chu and John Ashburner and has published in prestigious journals such as NeuroImage, Neural Networks and Journal of Machine Learning Research.

In The Last Decade

Co-authorship network of co-authors of Craig Saunders i

Fields of papers citing papers by Craig Saunders

Since Specialization
EngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics

This network shows the specialization of papers citing the papers produced by Craig Saunders. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Craig Saunders may publish in the future.

Countries citing papers authored by Craig Saunders

Since Specialization
Citations

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

Rankless by CCL
2025