George F. Luger

53 papers and 376 indexed citations i.

About

George F. Luger is a scholar working on Artificial Intelligence, Computer Networks and Communications and Control and Systems Engineering. According to data from OpenAlex, George F. Luger has authored 53 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 8 papers in Computer Networks and Communications and 5 papers in Control and Systems Engineering. Recurrent topics in George F. Luger’s work include Bayesian Modeling and Causal Inference (11 papers), AI-based Problem Solving and Planning (9 papers) and Natural Language Processing Techniques (5 papers). George F. Luger is often cited by papers focused on Bayesian Modeling and Causal Inference (11 papers), AI-based Problem Solving and Planning (9 papers) and Natural Language Processing Techniques (5 papers). George F. Luger collaborates with scholars based in United States and United Kingdom. George F. Luger's co-authors include Alan Bundy, Michael Bauer, Timothy J. Ross, Katrina M. Groth, Carl R. Stern, Jennifer G. Wishart, Angela R. Laird, Laura E. Brown, Andrew J. Neel and Ashok K. Goel and has published in prestigious journals such as Expert Systems with Applications, Cognitive Science and Frontiers in Neuroscience.

In The Last Decade

Co-authorship network of co-authors of George F. Luger i

Fields of papers citing papers by George F. Luger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George F. Luger. 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 George F. Luger. The network helps show where George F. Luger may publish in the future.

Countries citing papers authored by George F. Luger

Since Specialization
Citations

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