Paul Leyland

4 papers and 816 indexed citations i.

About

Paul Leyland is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Paul Leyland has authored 4 papers receiving a total of 816 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Molecular Biology, 2 papers in Artificial Intelligence and 1 paper in Computer Networks and Communications. Recurrent topics in Paul Leyland’s work include Biomedical Text Mining and Ontologies (2 papers), Cryptography and Data Security (1 paper) and Distributed and Parallel Computing Systems (1 paper). Paul Leyland is often cited by papers focused on Biomedical Text Mining and Ontologies (2 papers), Cryptography and Data Security (1 paper) and Distributed and Parallel Computing Systems (1 paper). Paul Leyland collaborates with scholars based in United States, United Kingdom and Australia. Paul Leyland's co-authors include Steven J Marygold, Ruth L. Seal, H. Zhang, Gillian Millburn, Susan Tweedie, Kathleen Falls, Michael Ashburner, Alice Schroeder, David Osumi-Sutherland and Peter McQuilton and has published in prestigious journals such as Nucleic Acids Research, Lecture notes in computer science and Cluster Computing.

In The Last Decade

Co-authorship network of co-authors of Paul Leyland i

Fields of papers citing papers by Paul Leyland

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

Countries citing papers authored by Paul Leyland

Since Specialization
Citations

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

Rankless by CCL
2025