John Mellor

9 papers and 62 indexed citations i.

About

John Mellor is a scholar working on Computer Networks and Communications, Artificial Intelligence and Computer Science Applications. According to data from OpenAlex, John Mellor has authored 9 papers receiving a total of 62 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Networks and Communications, 3 papers in Artificial Intelligence and 2 papers in Computer Science Applications. Recurrent topics in John Mellor’s work include Topic Modeling (1 paper), Advanced Wireless Network Optimization (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). John Mellor is often cited by papers focused on Topic Modeling (1 paper), Advanced Wireless Network Optimization (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). John Mellor collaborates with scholars based in United Kingdom. John Mellor's co-authors include Lin Guan, Geyong Min, Nahema Marchal, Iason Gabriel and William Isaac and has published in prestigious journals such as Scientific Reports, Academic Medicine and Computer Networks.

In The Last Decade

Fields of papers citing papers by John Mellor

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

Countries citing papers authored by John Mellor

Since Specialization
Citations

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

Rankless by CCL
2025