Lars Asker
Impact in
- Toxicology top 5%
- Pharmacovigilance and Adverse Drug Reactions
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Machine Learning in Healthcare
- Advanced Text Analysis Techniques
- Semantic Web and Ontologies
- Explainable Artificial Intelligence (XAI)
Papers in
-
- Natural Language Processing Techniques 12
- Topic Modeling 7
- Machine Learning in Healthcare 6
- Text and Document Classification Technologies 6
- Imbalanced Data Classification Techniques 4
-
- Biomedical Text Mining and Ontologies 9
- Co-authors
- Henrik Boström (17 shared papers)Jing Zhao (5 shared papers)Panagiotis Papapetrou (12 shared papers)Fredrik Olsson (5 shared papers)Gunnar Eriksson (3 shared papers)Aron Henriksson (4 shared papers)Jussi Karlgren (3 shared papers)Kai Puolamäki (2 shared papers)
- Journals
- Data Mining and Knowledge Discovery (1 paper)International Journal of Medical Informatics (1 paper)Information Retrieval (1 paper)International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (1 paper)Violence and Victims (1 paper)
- Partner nations
- SwedenUnited StatesMozambique
In The Last Decade
Lars Asker
46 papers receiving 698 citations
Peers
Comparison fields: 5 of 99
- Toxicology 61
- Artificial Intelligence 545
- Health Informatics 16
- Health Information Management 39
- Signal Processing 63
Countries citing papers authored by Lars Asker
This map shows the geographic impact of Lars Asker'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 Lars Asker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lars Asker more than expected).
Fields of papers citing papers by Lars Asker
This network shows the impact of papers produced by Lars Asker. 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 Lars Asker. The network helps show where Lars Asker may publish in the future.
Co-authors
The 25 scholars most cited alongside Lars Asker, 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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 106 | |
| 2 | 2014 | 73 | |
| 3 | 1998 | 72 | |
| 4 | 2001 | 68 | |
| 5 | 2016 | 66 | |
| 6 | 2015 | 59 | |
| 7 | 2002 | 41 | |
| 8 | Handling Temporality of Clinical Events for Drug Safety Surveillance. | 2015 | 28 |
| 9 | 2014 | 24 | |
| 10 | 2009 | 24 | |
| 11 | Ensembles as a sequence of classifiers | 1997 | 23 |
| 12 | 2013 | 23 | |
| 13 | Exploiting Syntax when Detecting Protein Names in Text | 2002 | 21 |
| 14 | 2007 | 20 | |
| 15 | 1999 | 11 | |
| 16 | 2005 | 10 | |
| 17 | 1997 | 9 | |
| 18 | 2015 | 9 | |
| 19 | 2006 | 9 | |
| 20 | 2009 | 8 |
About Lars Asker
Lars Asker is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Toxicology and Computational Theory and Mathematics, having authored 47 papers that have together received 778 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (12 papers), Biomedical Text Mining and Ontologies (9 papers), Topic Modeling (7 papers), Pharmacovigilance and Adverse Drug Reactions (7 papers), Machine Learning in Healthcare (6 papers), Text and Document Classification Technologies (6 papers), Data Mining Algorithms and Applications (5 papers) and Imbalanced Data Classification Techniques (4 papers). The work is most often cited by research in Toxicology (61 citations), Artificial Intelligence (545 citations), Health Informatics (16 citations), Health Information Management (39 citations) and Signal Processing (63 citations). Lars Asker has collaborated with scholars based in Sweden, United States and Mozambique. Frequent co-authors include Henrik Boström, Jing Zhao, Panagiotis Papapetrou, Fredrik Olsson, Gunnar Eriksson, Aron Henriksson, Jussi Karlgren, Kai Puolamäki, Richard Maclin and Andreas Henelius. Their work appears in journals such as Data Mining and Knowledge Discovery, International Journal of Medical Informatics, Information Retrieval, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems and Violence and Victims.
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.