Dolf Trieschnigg

Universiteit Twente

H-index: 22

Europe-Netherlands

About Dolf Trieschnigg

Dolf Trieschnigg, With an exceptional h-index of 22 and a recent h-index of 14 (since 2020), a distinguished researcher at Universiteit Twente, specializes in the field of Information Retrieval, Natural Language Processing, Text Mining, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Generating synthetic training data for supervised de-identification of electronic health records

DHQ: Digital Humanities Quarterly

Comparing rule-based, feature-based and deep neural methods for de-identification of dutch medical records

Dolf Trieschnigg Information

University	Universiteit Twente
Position	Nedap Healthcare /
Citations(all)	2681
Citations(since 2020)	1195
Cited By	1972
hIndex(all)	22
hIndex(since 2020)	14
i10Index(all)	40
i10Index(since 2020)	18
Email	Access Email
University Profile Page	Universiteit Twente
Google Scholar	View Google Scholar Profile

Dolf Trieschnigg Skills & Research Interests

Information Retrieval

Natural Language Processing

Text Mining

Machine Learning

Top articles of Dolf Trieschnigg

Title	Journal	Author(s)	Publication Date
Generating synthetic training data for supervised de-identification of electronic health records	Future Internet	Claudia Alessandra Libbi Jan Trienes Dolf Trieschnigg Christin Seifert	2021/5
DHQ: Digital Humanities Quarterly	DHQ	Michael Tippett	2012
Comparing rule-based, feature-based and deep neural methods for de-identification of dutch medical records		Jan Trienes Dolf Trieschnigg Christin Seifert Djoerd Hiemstra	2020/1/16