Chris Hokamp

14 papers and 464 indexed citations i.

About

Chris Hokamp is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Chris Hokamp has authored 14 papers receiving a total of 464 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Artificial Intelligence, 2 papers in Molecular Biology and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Chris Hokamp’s work include Natural Language Processing Techniques (14 papers), Topic Modeling (9 papers) and Text Readability and Simplification (6 papers). Chris Hokamp is often cited by papers focused on Natural Language Processing Techniques (14 papers), Topic Modeling (9 papers) and Text Readability and Simplification (6 papers). Chris Hokamp collaborates with scholars based in Ireland, United States and United Kingdom. Chris Hokamp's co-authors include Pablo N. Mendes, Max Jakob, Joachim Daiber, Varvara Logacheva, Lucia Specia, J. Glover, Carolina Scarton, Christian Federmann, Christof Monz and Matthias Huck and has published in prestigious journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics and Wiardi Beckman Foundation (Wiardi Beckman Foundation).

In The Last Decade

Co-authorship network of co-authors of Chris Hokamp i

Fields of papers citing papers by Chris Hokamp

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Chris Hokamp

Since Specialization
Citations

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