Steven Reece

40 papers and 1.2k indexed citations i.

About

Steven Reece is a scholar working on Artificial Intelligence, Signal Processing and Global and Planetary Change. According to data from OpenAlex, Steven Reece has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 6 papers in Signal Processing and 5 papers in Global and Planetary Change. Recurrent topics in Steven Reece’s work include Target Tracking and Data Fusion in Sensor Networks (7 papers), Gaussian Processes and Bayesian Inference (7 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Steven Reece is often cited by papers focused on Target Tracking and Data Fusion in Sensor Networks (7 papers), Gaussian Processes and Bayesian Inference (7 papers) and Mobile Crowdsensing and Crowdsourcing (5 papers). Steven Reece collaborates with scholars based in United Kingdom, Austria and United States. Steven Reece's co-authors include Stephen Roberts, S. Aigrain, Michael A. Osborne, Mark Ebden, Neale P. Gibson, Vinesh Rajpaul, Thomas Lees, Simon Dadson, Louise Slater and Marcus Buechel and has published in prestigious journals such as Monthly Notices of the Royal Astronomical Society, Journal of Neurophysiology and IEEE Transactions on Signal Processing.

In The Last Decade

Co-authorship network of co-authors of Steven Reece i

Fields of papers citing papers by Steven Reece

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

Countries citing papers authored by Steven Reece

Since Specialization
Citations

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

Rankless by CCL
2025