Michael J. Lalor
About
Michael J. Lalor is a scholar working on Computer Vision and Pattern Recognition, Mechanical Engineering and Media Technology.
According to data from OpenAlex, Michael J. Lalor has authored 87 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Computer Vision and Pattern Recognition, 43 papers in Mechanical Engineering and 23 papers in Media Technology. Recurrent topics in Michael J. Lalor’s work include Optical measurement and interference techniques (57 papers), Advanced Measurement and Metrology Techniques (35 papers) and Image Processing Techniques and Applications (23 papers). Michael J. Lalor is often cited by papers focused on Optical measurement and interference techniques (57 papers), Advanced Measurement and Metrology Techniques (35 papers) and Image Processing Techniques and Applications (23 papers). Michael J. Lalor collaborates with scholars based in United Kingdom, Belgium and Spain. Michael J. Lalor's co-authors include David R. Burton, Munther Gdeisat, Francis Lilley, Miguel Arevalillo‐Herráez and J. Atkinson and has published in prestigious journals such as Applied Physics Letters, International Journal of Radiation Oncology*Biology*Physics and Computer Methods in Applied Mechanics and Engineering.
In The Last Decade
Fields of papers citing papers by Michael J. Lalor
Since SpecializationEngineeringComputer 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 Michael J. Lalor. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Michael J. Lalor may publish in the future.
Countries citing papers authored by Michael J. Lalor
Since SpecializationCitations
This map shows the geographic impact of Michael J. Lalor'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 Michael J. Lalor with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael J. Lalor more than expected).
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