Richard Labib

20 papers and 342 indexed citations i.

About

Richard Labib is a scholar working on Artificial Intelligence, Mechanical Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, Richard Labib has authored 20 papers receiving a total of 342 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Mechanical Engineering and 4 papers in Statistical and Nonlinear Physics. Recurrent topics in Richard Labib’s work include Neural Networks and Applications (6 papers), Mineral Processing and Grinding (3 papers) and Rock Mechanics and Modeling (2 papers). Richard Labib is often cited by papers focused on Neural Networks and Applications (6 papers), Mineral Processing and Grinding (3 papers) and Rock Mechanics and Modeling (2 papers). Richard Labib collaborates with scholars based in Canada, France and United Kingdom. Richard Labib's co-authors include Jean Rousselle, Michel Bernier, Philippe Pasquier, Angelo Zarrella, Pascal Perrier, Paul Stuart, Shadi Sharif Azadeh, Gilles Savard, Hélèna L. Denis and Caroline H. Williams‐Gray and has published in prestigious journals such as Cellular and Molecular Life Sciences, Applied Thermal Engineering and Neurobiology of Disease.

In The Last Decade

Co-authorship network of co-authors of Richard Labib i

Fields of papers citing papers by Richard Labib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Richard Labib. 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 Richard Labib. The network helps show where Richard Labib may publish in the future.

Countries citing papers authored by Richard Labib

Since Specialization
Citations

This map shows the geographic impact of Richard Labib'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 Richard Labib with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Labib 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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2025