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 and dialogue systems 2
- Speech Recognition and Synthesis 2
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- Service-Oriented Architecture and Web Services 2
- Co-authors
- Pablo N. MendesMax JakobJoachim DaiberLucia SpeciaVarvara LogachevaCarolina ScartonOndřej BojarMatt Post
- 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)UvA-DARE (University of Amsterdam) (1 paper)Recent Advances in Natural Language Processing (1 paper)
- Partner nations
- IrelandUnited StatesUnited Kingdom
In The Last Decade
Chris Hokamp
17 papers receiving 499 citations
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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 6 | |
| 4 | 2017 | 31 | |
| 5 | MARMOT: A Toolkit for Translation Quality Estimation at the Word Level | 2016 | 7 |
| 6 | 2016 | 1 | |
| 7 | 2016 | 19 | |
| 8 | Improving Phrase-Based SMT Using Cross-Granularity Embedding Similarity | 2016 | 1 |
| 9 | 2015 | 2 | |
| 10 | 2015 | 9 | |
| 11 | 2015 | 13 | |
| 12 | 2015 | 159 | |
| 13 | Leveraging NLP Technologies and Linked Open Data to Create Better CAT Tools | 2015 | 1 |
| 14 | 2015 | 4 | |
| 15 | Modeling Language Proficiency Using Implicit Feedback | 2014 | 4 |
| 16 | 2014 | 3 | |
| 17 | 2014 | 2 | |
| 18 | Sense Clustering Using Wikipedia | 2013 | 11 |
| 19 | DBpedia Spotlight at the MSM2013 Challenge. | 2013 | 1 |
| 20 | Improving efficiency and accuracy in multilingual entity extraction Hit paper breakdown → | 2013 | 277 |
About Chris Hokamp
Chris Hokamp is a scholar working on Artificial Intelligence, Information Systems, Developmental and Educational Psychology, Molecular Biology 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), Biomedical Text Mining and Ontologies (4 papers), Semantic Web and Ontologies (4 papers), Speech and dialogue systems (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Speech Recognition and Synthesis (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, Max Jakob, Joachim Daiber, Lucia Specia, Varvara Logacheva, Carolina Scarton, Ondřej Bojar, Matt Post, Christian Federmann and Philipp Koehn. 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), UvA-DARE (University of Amsterdam) and Recent Advances in Natural Language Processing.
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.