Maria Skeppstedt
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Machine Learning in Healthcare
- Semantic Web and Ontologies
- Sentiment Analysis and Opinion Mining
- Text Readability and Simplification
Papers in
-
- Topic Modeling 35
- Natural Language Processing Techniques 32
- Sentiment Analysis and Opinion Mining 7
- Advanced Text Analysis Techniques 7
- Machine Learning and Algorithms 4
- Semantic Web and Ontologies 4
- Text Readability and Simplification 4
-
- Biomedical Text Mining and Ontologies 24
- Co-authors
- Hercules Dalianis (16 shared papers)Maria Kvist (12 shared papers)Aron Henriksson (8 shared papers)Gunnar Nilsson (4 shared papers)Andreas Kerren (18 shared papers)Martin Duneld (4 shared papers)Manfred Stede (7 shared papers)Hans Moen (2 shared papers)
In The Last Decade
Maria Skeppstedt
54 papers receiving 695 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 556
- Health Information Management 42
- Toxicology 26
- Molecular Biology 356
- Language and Linguistics 47
Countries citing papers authored by Maria Skeppstedt
This map shows the geographic impact of Maria Skeppstedt'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 Maria Skeppstedt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Skeppstedt more than expected).
Fields of papers citing papers by Maria Skeppstedt
This network shows the impact of papers produced by Maria Skeppstedt. 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 Maria Skeppstedt. The network helps show where Maria Skeppstedt may publish in the future.
Co-authors
The 25 scholars most cited alongside Maria Skeppstedt, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 92 | |
| 2 | 2014 | 75 | |
| 3 | Extending the NegEx lexicon for multiple languages. | 2013 | 64 |
| 4 | 2011 | 45 | |
| 5 | Stockholm EPR Corpus : A Clinical Database Used to Improve Health Care | 2012 | 44 |
| 6 | 2014 | 42 | |
| 7 | 2012 | 32 | |
| 8 | 2016 | 30 | |
| 9 | 2011 | 28 | |
| 10 | Argumentation Synthesis following Rhetorical Strategies | 2018 | 25 |
| 11 | 2017 | 25 | |
| 12 | 2014 | 19 | |
| 13 | 2018 | 17 | |
| 14 | Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records | 2013 | 17 |
| 15 | 2012 | 14 | |
| 16 | Automatic detection of stance towards vaccination in online discussion forums | 2017 | 13 |
| 17 | 2017 | 12 | |
| 18 | Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives | 2010 | 11 |
| 19 | Negation Scope Delimitation in Clinical Text Using Three Approaches: NegEx, PyConTextNLP and SynNeg | 2013 | 11 |
| 20 | Modeling human comprehension of Swedish medical records for intelligent access and summarization systems - Future vision, a physician's perspective | 2011 | 11 |
About Maria Skeppstedt
Maria Skeppstedt is a scholar working on Artificial Intelligence, Molecular Biology, Literature and Literary Theory, Sociology and Political Science and Health Information Management, having authored 59 papers that have together received 766 indexed citations. Recurring topics across this work include Topic Modeling (35 papers), Natural Language Processing Techniques (32 papers), Biomedical Text Mining and Ontologies (24 papers), Sentiment Analysis and Opinion Mining (7 papers), Advanced Text Analysis Techniques (7 papers), Machine Learning and Algorithms (4 papers), Semantic Web and Ontologies (4 papers) and Text Readability and Simplification (4 papers). The work is most often cited by research in Artificial Intelligence (556 citations), Health Information Management (42 citations), Toxicology (26 citations), Molecular Biology (356 citations) and Language and Linguistics (47 citations). Maria Skeppstedt has collaborated with scholars based in Sweden, Germany and Lithuania. Frequent co-authors include Hercules Dalianis, Maria Kvist, Aron Henriksson, Gunnar Nilsson, Andreas Kerren, Martin Duneld, Manfred Stede, Hans Moen, Carita Paradis and Sumithra Velupillai. Their work appears in journals such as Journal of Biomedical Semantics, Artificial Intelligence in Medicine, Information Visualization, Language Resources and Evaluation and BMC Medical Informatics and Decision Making.
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.