Chris Hokamp
Impact in
- Artificial Intelligence top 2%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Text Readability and Simplification
- Advanced Graph Neural Networks
- Advanced Text Analysis Techniques
- Information Systems top 10%
Papers in
-
- Natural Language Processing Techniques 18
- Topic Modeling 13
- Text Readability and Simplification 7
- Semantic Web and Ontologies 4
- Speech Recognition and Synthesis 2
- Speech and dialogue systems 2
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- Biomedical Text Mining and Ontologies 4
- Co-authors
- Pablo N. Mendes (2 shared papers)Joachim Daiber (1 shared paper)Max Jakob (1 shared paper)Varvara Logacheva (3 shared papers)Lucia Specia (3 shared papers)Matteo Negri (1 shared paper)Marco Turchi (1 shared paper)Barry Haddow (1 shared paper)
- Journals
- Language Resources and Evaluation (2 papers)Transactions of the Association for Computational Linguistics (1 paper)Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)UvA-DARE (University of Amsterdam) (1 paper)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Chris Hokamp
17 papers receiving 499 citations
Chris Hokamp's Hit Papers
Peers
Comparison fields: 5 of 51
- Artificial Intelligence 512
- Information Systems 92
- Management Science and Operations Research 50
- Computer Vision and Pattern Recognition 75
- Human Factors and Ergonomics 6
Countries citing papers authored by Chris Hokamp
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).
Fields of papers citing papers by Chris Hokamp
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.
Co-authors
The 25 scholars most cited alongside Chris Hokamp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Improving efficiency and accuracy in multilingual entity extraction Hit paper breakdown → | 2013 | 277 |
| 2 | 2015 | 159 | |
| 3 | 2017 | 31 | |
| 4 | 2016 | 19 | |
| 5 | 2015 | 13 | |
| 6 | Sense Clustering Using Wikipedia | 2013 | 11 |
| 7 | 2015 | 9 | |
| 8 | MARMOT: A Toolkit for Translation Quality Estimation at the Word Level | 2016 | 7 |
| 9 | 2022 | 6 | |
| 10 | Modeling Language Proficiency Using Implicit Feedback | 2014 | 4 |
| 11 | 2015 | 4 | |
| 12 | 2014 | 3 | |
| 13 | 2015 | 2 | |
| 14 | 2014 | 2 | |
| 15 | 2024 | 1 | |
| 16 | 2016 | 1 | |
| 17 | Leveraging NLP Technologies and Linked Open Data to Create Better CAT Tools | 2015 | 1 |
| 18 | DBpedia Spotlight at the MSM2013 Challenge. | 2013 | 1 |
| 19 | Improving Phrase-Based SMT Using Cross-Granularity Embedding Similarity | 2016 | 1 |
| 20 | 2025 | 0 |
About Chris Hokamp
Chris Hokamp is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Sociology and Political Science and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 552 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (18 papers), Topic Modeling (13 papers), Text Readability and Simplification (7 papers), Semantic Web and Ontologies (4 papers), Biomedical Text Mining and Ontologies (4 papers), Service-Oriented Architecture and Web Services (2 papers), Speech Recognition and Synthesis (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (512 citations), Information Systems (92 citations), Management Science and Operations Research (50 citations), Computer Vision and Pattern Recognition (75 citations) and Human Factors and Ergonomics (6 citations). Chris Hokamp has collaborated with scholars based in Ireland, United States and United Kingdom. Frequent co-authors include Pablo N. Mendes, Joachim Daiber, Max Jakob, Varvara Logacheva, Lucia Specia, Matteo Negri, Marco Turchi, Barry Haddow, Matthias Huck and Matt Post. Their work appears in journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Zenodo (CERN European Organization for Nuclear Research) and UvA-DARE (University of Amsterdam).
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.