Chris Hokamp
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 SpecializationEngineeringComputer SciencePhysics and AstronomyMathematicsEarth and Planetary SciencesEnergyEnvironmental ScienceMaterials ScienceChemical EngineeringChemistryAgricultural and Biological SciencesVeterinaryDecision SciencesArts and HumanitiesBusiness, Management and AccountingSocial SciencesPsychologyEconomics, Econometrics and FinanceHealth ProfessionsDentistryMedicineBiochemistry, Genetics and Molecular BiologyNeuroscienceNursingImmunology and MicrobiologyPharmacology, Toxicology and Pharmaceutics
This network shows the specialization of papers citing the papers produced by Chris Hokamp. Nodes represent fields, and links connect fields that are likely to share authors. The network helps show where Chris Hokamp may publish in the future.
Countries citing papers authored by Chris Hokamp
Since SpecializationCitations
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).
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