Maud Ehrmann
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Sentiment Analysis and Opinion Mining
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Text and Document Classification Technologies
- Conservation top 5%
Papers in
-
- Natural Language Processing Techniques 24
- Topic Modeling 19
- Semantic Web and Ontologies 14
- Advanced Text Analysis Techniques 4
-
- Digital Humanities and Scholarship 6
- Co-authors
- Ralf Steinberger (8 shared papers)Simon Clematide (7 shared papers)Matteo Romanello (7 shared papers)Marco Turchi (4 shared papers)Antoine Doucet (3 shared papers)Elvys Linhares Pontes (1 shared paper)Frédé́ric Kaplan (4 shared papers)Josef Steinberger (3 shared papers)
- Journals
- Language Resources and Evaluation (5 papers)Frontiers in Big Data (1 paper)Semantic Web (1 paper)Decision Support Systems (1 paper)ACM Computing Surveys (1 paper)
- Partner nations
- SwitzerlandFranceItaly
In The Last Decade
Maud Ehrmann
33 papers receiving 401 citations
Peers
Comparison fields: 5 of 57
- Artificial Intelligence 364
- Conservation 17
- Space and Planetary Science 5
- Information Systems 76
- Management Science and Operations Research 40
Countries citing papers authored by Maud Ehrmann
This map shows the geographic impact of Maud Ehrmann'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 Maud Ehrmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maud Ehrmann more than expected).
Fields of papers citing papers by Maud Ehrmann
This network shows the impact of papers produced by Maud Ehrmann. 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 Maud Ehrmann. The network helps show where Maud Ehrmann may publish in the future.
Co-authors
The 25 scholars most cited alongside Maud Ehrmann, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 95 | |
| 2 | 2023 | 58 | |
| 3 | 2014 | 52 | |
| 4 | Building a Multilingual Named Entity-Annotated Corpus Using Annotation Projection | 2011 | 38 |
| 5 | 2020 | 29 | |
| 6 | 2021 | 25 | |
| 7 | Diachronic Evaluation of NER Systems on Old Newspapers | 2016 | 23 |
| 8 | 2019 | 17 | |
| 9 | 2016 | 14 | |
| 10 | 2019 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2022 | 11 | |
| 13 | On Named Entity Recognition in Targeted Twitter Streams in Polish. | 2013 | 9 |
| 14 | 2020 | 9 | |
| 15 | 2007 | 9 | |
| 16 | 2022 | 6 | |
| 17 | 2009 | 5 | |
| 18 | 2013 | 5 | |
| 19 | Highly Multilingual Coreference Resolution Exploiting a Mature Entity Repository | 2011 | 4 |
| 20 | 2009 | 3 |
About Maud Ehrmann
Maud Ehrmann is a scholar working on Artificial Intelligence, Literature and Literary Theory, Molecular Biology, Information Systems and Conservation, having authored 38 papers that have together received 460 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (19 papers), Semantic Web and Ontologies (14 papers), Digital Humanities and Scholarship (6 papers), Web Data Mining and Analysis (4 papers), Advanced Text Analysis Techniques (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Digital and Traditional Archives Management (3 papers). The work is most often cited by research in Artificial Intelligence (364 citations), Conservation (17 citations), Space and Planetary Science (5 citations), Information Systems (76 citations) and Management Science and Operations Research (40 citations). Maud Ehrmann has collaborated with scholars based in Switzerland, France and Italy. Frequent co-authors include Ralf Steinberger, Simon Clematide, Matteo Romanello, Marco Turchi, Antoine Doucet, Elvys Linhares Pontes, Frédé́ric Kaplan, Josef Steinberger, Giovanni Colavizza and Ali Hürriyetoğlu. Their work appears in journals such as Language Resources and Evaluation, Frontiers in Big Data, Semantic Web, Decision Support Systems and ACM Computing Surveys.
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.