Joan Lasenby

88 papers and 1.7k indexed citations i.

About

Joan Lasenby is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Applied Mathematics. According to data from OpenAlex, Joan Lasenby has authored 88 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 19 papers in Control and Systems Engineering and 15 papers in Applied Mathematics. Recurrent topics in Joan Lasenby’s work include Algebraic and Geometric Analysis (15 papers), Advanced Vision and Imaging (12 papers) and Advanced Numerical Analysis Techniques (9 papers). Joan Lasenby is often cited by papers focused on Algebraic and Geometric Analysis (15 papers), Advanced Vision and Imaging (12 papers) and Advanced Numerical Analysis Techniques (9 papers). Joan Lasenby collaborates with scholars based in United Kingdom, United States and China. Joan Lasenby's co-authors include Andreas Aristidou, Sahan Gamage, Chris Doran, A. Lasenby, Leo Dorst, Yiorgos Chrysanthou, Duo Li, Adi Shamir, Hanchen Wang and Qi Liu and has published in prestigious journals such as The Astrophysical Journal, Scientific Reports and Applied Energy.

In The Last Decade

Co-authorship network of co-authors of Joan Lasenby i

Fields of papers citing papers by Joan Lasenby

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

Countries citing papers authored by Joan Lasenby

Since Specialization
Citations

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

Rankless by CCL
2025