Michael J. Lalor

87 papers and 2.1k indexed citations i.

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, Miguel Arevalillo‐Herráez, Francis Lilley, Hussein S. Abdul-Rahman, Christopher J. Moore, J. Atkinson, Salah Karout, C. J. Moore and Hong Zhang 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

Co-authorship network of co-authors of Michael J. Lalor i

Fields of papers citing papers by Michael J. Lalor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael J. Lalor. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michael J. Lalor. The network helps show where Michael J. Lalor may publish in the future.

Countries citing papers authored by Michael J. Lalor

Since Specialization
Citations

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).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar’s output or impact.

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