Jon Curtis

9 papers and 164 indexed citations i.

About

Jon Curtis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Jon Curtis has authored 9 papers receiving a total of 164 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Jon Curtis’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Semantic Web and Ontologies (3 papers). Jon Curtis is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Semantic Web and Ontologies (3 papers). Jon Curtis collaborates with scholars based in United Kingdom, Austria and Australia. Jon Curtis's co-authors include John Cabral, Michael Witbrock, Hans Lehrach, David Baxter and Hui Cheng and has published in prestigious journals such as Nature, Scientific Reports and Journal of Biotechnology.

In The Last Decade

Fields of papers citing papers by Jon Curtis

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 Jon Curtis. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Jon Curtis may publish in the future.

Countries citing papers authored by Jon Curtis

Since Specialization
Citations

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

Rankless by CCL
2025