Richard Meyes

13 papers and 137 indexed citations i.

About

Richard Meyes is a scholar working on Industrial and Manufacturing Engineering, Artificial Intelligence and Mechanical Engineering. According to data from OpenAlex, Richard Meyes has authored 13 papers receiving a total of 137 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Industrial and Manufacturing Engineering, 5 papers in Artificial Intelligence and 3 papers in Mechanical Engineering. Recurrent topics in Richard Meyes’s work include Industrial Vision Systems and Defect Detection (3 papers), Reinforcement Learning in Robotics (3 papers) and Infrastructure Maintenance and Monitoring (2 papers). Richard Meyes is often cited by papers focused on Industrial Vision Systems and Defect Detection (3 papers), Reinforcement Learning in Robotics (3 papers) and Infrastructure Maintenance and Monitoring (2 papers). Richard Meyes collaborates with scholars based in Germany. Richard Meyes's co-authors include Tobias Meisen, Christian Büscher, Christian Brecher, Sabina Jeschke, Thomas Thiele, Hasan Tercan, Gerhard Lakemeyer, Christian Hopmann and G. Hirt and has published in prestigious journals such as Applied Sciences, International Journal of Energy Research and Water.

In The Last Decade

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

Fields of papers citing papers by Richard Meyes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Richard Meyes

Since Specialization
Citations

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