Lars Asker
Impact in
- Toxicology top 2%
- Pharmacovigilance and Adverse Drug Reactions
- Artificial Intelligence top 5%
- Machine Learning in Healthcare
- Explainable Artificial Intelligence (XAI)
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
Papers in
-
- Natural Language Processing Techniques 8
- Machine Learning in Healthcare 6
- Machine Learning and Data Classification 3
- Explainable Artificial Intelligence (XAI) 3
-
- Pharmacovigilance and Adverse Drug Reactions 6
- Co-authors
- Henrik Boström (17 shared papers)Jing Zhao (5 shared papers)Panagiotis Papapetrou (12 shared papers)Gunnar Eriksson (3 shared papers)Aron Henriksson (4 shared papers)Andreas Henelius (2 shared papers)Kai Puolamäki (2 shared papers)Jussi Karlgren (3 shared papers)
- Journals
- Information Retrieval (1 paper)International Journal of Uncertainty Fuzziness and Knowledge-Based Systems (1 paper)Data Mining and Knowledge Discovery (1 paper)Journal of Biomedical Informatics (1 paper)Machine Learning (1 paper)
- Partner nations
- SwedenMozambiqueUnited States
In The Last Decade
Lars Asker
46 papers receiving 709 citations
Peers
Comparison fields: 5 of 79
- Toxicology 72
- Artificial Intelligence 398
- Health Information Management 45
- Health Informatics 9
- Information Systems 93
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 | 103 | |
| 2 | 2014 | 82 | |
| 3 | 1998 | 68 | |
| 4 | 2016 | 68 | |
| 5 | 2001 | 65 | |
| 6 | 2015 | 61 | |
| 7 | 2002 | 40 | |
| 8 | Handling Temporality of Clinical Events for Drug Safety Surveillance. | 2015 | 25 |
| 9 | 2009 | 23 | |
| 10 | 2014 | 23 | |
| 11 | Ensembles as a sequence of classifiers | 1997 | 21 |
| 12 | 2013 | 20 | |
| 13 | Exploiting Syntax when Detecting Protein Names in Text | 2002 | 19 |
| 14 | 2007 | 18 | |
| 15 | 1999 | 12 | |
| 16 | 2005 | 10 | |
| 17 | Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection | 1997 | 9 |
| 18 | 2006 | 9 | |
| 19 | 2015 | 9 | |
| 20 | 2009 | 8 |
About Lars Asker
Lars Asker is a scholar working on Artificial Intelligence, Toxicology, Information Systems, Health Information Management and Media Technology, having authored 47 papers that have together received 770 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (8 papers), Pharmacovigilance and Adverse Drug Reactions (6 papers), Machine Learning in Healthcare (6 papers), Biomedical Text Mining and Ontologies (4 papers), Data Mining Algorithms and Applications (4 papers), Information Retrieval and Search Behavior (4 papers), Machine Learning and Data Classification (3 papers) and Explainable Artificial Intelligence (XAI) (3 papers). The work is most often cited by research in Toxicology (72 citations), Artificial Intelligence (398 citations), Health Information Management (45 citations), Health Informatics (9 citations) and Information Systems (93 citations). Lars Asker has collaborated with scholars based in Sweden, Mozambique and United States. Frequent co-authors include Henrik Boström, Jing Zhao, Panagiotis Papapetrou, Gunnar Eriksson, Aron Henriksson, Andreas Henelius, Kai Puolamäki, Jussi Karlgren, Joakim Cöster and Richard Maclin. Their work appears in journals such as Information Retrieval, International Journal of Uncertainty Fuzziness and Knowledge-Based Systems, Data Mining and Knowledge Discovery, Journal of Biomedical Informatics and Machine Learning.
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.