W. Lehnert

About

W. Lehnert is a scholar working on Artificial Intelligence, Information Systems and Literature and Literary Theory. According to data from OpenAlex, W. Lehnert has authored 7 papers receiving a total of 51 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Information Systems and 1 paper in Literature and Literary Theory. Recurrent topics in W. Lehnert’s work include Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Advanced Text Analysis Techniques (2 papers). W. Lehnert is often cited by papers focused on Topic Modeling (3 papers), Natural Language Processing Techniques (3 papers) and Advanced Text Analysis Techniques (2 papers). W. Lehnert collaborates with scholars based in United States. W. Lehnert's co-authors include Stephen Soderland, Fuli Feng, David A. Fisher, Ellen Riloff, Claire Cardie and Joseph F. McCarthy and has published in prestigious journals such as Behavioral and Brain Sciences, Cognitive Science and Journal of Artificial Intelligence Research.

In The Last Decade

Co-authorship network of co-authors of W. Lehnert i

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Fields of papers citing papers by W. Lehnert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by W. Lehnert

Since Specialization

Citations

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