Chris Hokamp

1.4k citations
20 papers · 555 · 1 hit paper · h-index 8

Impact in

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
    • Biomedical Text Mining and Ontologies 4
Journals
Language Resources and Evaluation (2 papers)Transactions of the Association for Computational Linguistics (1 paper)Dublin City University Open Access Institutional Repository (Dublin City University) (1 paper)Recent Advances in Natural Language Processing (1 paper)Dublin City University Open Access Institutional Repository (Dublin City University) (2 papers)

In The Last Decade

Chris Hokamp

17 papers receiving 502 citations

Chris Hokamp's Hit Papers

Improving efficiency and accuracy in multilingual entity extraction 2013 · 278 citations
2780+4+8Years since publication50100150200250

Peers

Chris Hokamp
Comparison fields: 5 of 48
  • Artificial Intelligence 513
  • Management Science and Operations Research 51
  • Information Systems 92
  • Computer Vision and Pattern Recognition 75
  • Human Factors and Ergonomics 6
Replace Joachim Daiber with:
Joachim Daiber Netherlands
Abe Ittycheriah United States
Saeedeh Shekarpour Germany
Antske Fokkens Netherlands
Roxane Segers Netherlands
Roberto Mirizzi Italy
Hiteshwar Kumar Azad India
Elmar Haußmann Germany
Taylor Cassidy United States
Mónica Marrero Spain
Chris Hokamp relative to Joachim Daiber Netherlands Joachim Daiber's profile →
Citations per field
00.5×2.8×
Joachim Daiber · 1×
Citations per year

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).

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.

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.

Border = papers with Chris Hokamp Line = papers co-authored together Chris Hokamp links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Improving efficiency and accuracy in multilingual entity extraction
Hit paper breakdown →
2013278
2 2015160
3 201730
4 201619
5 201513
6
Sense Clustering Using Wikipedia
201312
7 20159
8 20167
9 20226
10 20144
11 20154
12 20143
13 20242
14 20142
15 20152
16 20161
17
Leveraging NLP Technologies and Linked Open Data to Create Better CAT Tools
20151
18
Improving Phrase-Based SMT Using Cross-Granularity Embedding Similarity
20161
19
DBpedia Spotlight at the MSM2013 Challenge.
20131
20 20250

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 555 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 Recognition and Synthesis (2 papers), Service-Oriented Architecture and Web Services (2 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (513 citations), Management Science and Operations Research (51 citations), Information Systems (92 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, Rajen Chatterjee, Matteo Negri, Ondřej Bojar, Christian Federmann and Christof Monz. Their work appears in journals such as Language Resources and Evaluation, Transactions of the Association for Computational Linguistics, Dublin City University Open Access Institutional Repository (Dublin City University), Recent Advances in Natural Language Processing and Dublin City University Open Access Institutional Repository (Dublin City University).

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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