Erik T. Mueller

25 papers and 435 indexed citations i.

About

Erik T. Mueller is a scholar working on Artificial Intelligence, Molecular Biology and Experimental and Cognitive Psychology. According to data from OpenAlex, Erik T. Mueller has authored 25 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 3 papers in Molecular Biology and 3 papers in Experimental and Cognitive Psychology. Recurrent topics in Erik T. Mueller’s work include Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Semantic Web and Ontologies (6 papers). Erik T. Mueller is often cited by papers focused on Topic Modeling (11 papers), Natural Language Processing Techniques (9 papers) and Semantic Web and Ontologies (6 papers). Erik T. Mueller collaborates with scholars based in United States, Germany and United Kingdom. Erik T. Mueller's co-authors include Sugato Bagchi, David Ferrucci, David Gondek, Anthony Levas, Johanna D. Moore, Gerald J. Popek, O. Olabiyi, Patrick Henry Winston, J. William Murdock and D. W. Buchanan and has published in prestigious journals such as Scientific Reports, Communications of the ACM and Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Erik T. Mueller i

Fields of papers citing papers by Erik T. Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Erik T. Mueller. 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 Erik T. Mueller. The network helps show where Erik T. Mueller may publish in the future.

Countries citing papers authored by Erik T. Mueller

Since Specialization
Citations

This map shows the geographic impact of Erik T. Mueller'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 Erik T. Mueller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik T. Mueller 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