Andrew Hickl

13 papers and 178 indexed citations i.

About

Andrew Hickl is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Andrew Hickl has authored 13 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 1 paper in Molecular Biology and 1 paper in Computer Vision and Pattern Recognition. Recurrent topics in Andrew Hickl’s work include Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Semantic Web and Ontologies (3 papers). Andrew Hickl is often cited by papers focused on Topic Modeling (12 papers), Natural Language Processing Techniques (11 papers) and Semantic Web and Ontologies (3 papers). Andrew Hickl collaborates with scholars based in United States. Andrew Hickl's co-authors include Sanda M. Harabagiu, Finley Lăcătuşu, John Williams, Christine Clark, Dan Moldovan, Patrick Wang, Shi Ying, Bryan Rink, Kirk Roberts and Cosmin A. Bejan and has published in prestigious journals such as Information Processing & Management, Language Resources and Evaluation and Theory and applications of categories.

In The Last Decade

Co-authorship network of co-authors of Andrew Hickl i

Fields of papers citing papers by Andrew Hickl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrew Hickl

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2026