Glen G. Langdon

33 papers and 1.4k indexed citations i.

About

Glen G. Langdon is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Glen G. Langdon has authored 33 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 17 papers in Computational Theory and Mathematics and 13 papers in Computer Vision and Pattern Recognition. Recurrent topics in Glen G. Langdon’s work include Algorithms and Data Compression (18 papers), Advanced Data Compression Techniques (13 papers) and Cellular Automata and Applications (8 papers). Glen G. Langdon is often cited by papers focused on Algorithms and Data Compression (18 papers), Advanced Data Compression Techniques (13 papers) and Cellular Automata and Applications (8 papers). Glen G. Langdon collaborates with scholars based in United States, United Kingdom and Australia. Glen G. Langdon's co-authors include J. Rissanen, William B. Pennebaker, J. L. Mitchell, R. Arps, Stephen Todd, Craig M. Wittenbrink and James L. Murphy and has published in prestigious journals such as IEEE Transactions on Information Theory, Communications of the ACM and IEEE Transactions on Computers.

In The Last Decade

Co-authorship network of co-authors of Glen G. Langdon i

Fields of papers citing papers by Glen G. Langdon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Glen G. Langdon. 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 Glen G. Langdon. The network helps show where Glen G. Langdon may publish in the future.

Countries citing papers authored by Glen G. Langdon

Since Specialization
Citations

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