Lars Asker

1.0k total citations
35 papers, 547 citations indexed

About

Lars Asker is a scholar working on Artificial Intelligence, Molecular Biology and Toxicology. According to data from OpenAlex, Lars Asker has authored 35 papers receiving a total of 547 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Artificial Intelligence, 8 papers in Molecular Biology and 5 papers in Toxicology. Recurrent topics in Lars Asker's work include Natural Language Processing Techniques (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Machine Learning in Healthcare (6 papers). Lars Asker is often cited by papers focused on Natural Language Processing Techniques (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Machine Learning in Healthcare (6 papers). Lars Asker collaborates with scholars based in Sweden, United States and Mozambique. Lars Asker's co-authors include Henrik Boström, Fredrik Olsson, Jing Zhao, Panagiotis Papapetrou, Gunnar Eriksson, Aron Henriksson, Richard Maclin, Kai Puolamäki, Andreas Henelius and Björn Gambäck and has published in prestigious journals such as Machine Learning, International Journal of Medical Informatics and Journal of Biomedical Informatics.

In The Last Decade

Lars Asker

35 papers receiving 489 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Lars Asker Sweden 12 395 204 62 54 42 35 547
Zongcheng Ji China 11 547 1.4× 253 1.2× 25 0.4× 15 0.3× 167 4.0× 25 760
Michael R. Smith United States 9 291 0.7× 19 0.1× 25 0.4× 17 0.3× 55 1.3× 25 495
Isak Karlsson Sweden 9 159 0.4× 23 0.1× 35 0.6× 134 2.5× 40 1.0× 17 271
Jianfu Li United States 11 144 0.4× 64 0.3× 8 0.1× 9 0.2× 23 0.5× 31 320
G. William Moore United States 7 237 0.6× 125 0.6× 3 0.0× 19 0.4× 102 2.4× 11 470
Asma Ben Abacha United States 20 1.0k 2.6× 418 2.0× 16 0.3× 4 0.1× 130 3.1× 51 1.3k
Urszula Chajewska United States 7 209 0.5× 45 0.2× 2 0.0× 41 0.8× 32 0.8× 13 331
Alessio Bottrighi Italy 12 213 0.5× 173 0.8× 1 0.0× 37 0.7× 23 0.5× 51 392

Countries citing papers authored by Lars Asker

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Lars Asker

This figure shows the co-authorship network connecting the top 25 collaborators of Lars Asker. A scholar is included among the top collaborators of Lars Asker based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Lars Asker. Lars Asker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Karlsson, Isak, et al.. (2017). Learning from Administrative Health Registries. 1960. 1 indexed citations
2.
Boström, Henrik, et al.. (2017). Conformal Prediction Using Random Survival Forests. 812–817. 4 indexed citations
3.
Asker, Lars, Henrik Boström, Panagiotis Papapetrou, & Hans Persson. (2016). Identifying Factors for the Effectiveness of Treatment of Heart Failure: A Registry Study. 13. 205–206. 2 indexed citations
4.
Zhao, Jing, Panagiotis Papapetrou, Lars Asker, & Henrik Boström. (2016). Learning from heterogeneous temporal data in electronic health records. Journal of Biomedical Informatics. 65. 105–119. 57 indexed citations
5.
Lundgren, Erik, Panagiotis Papapetrou, & Lars Asker. (2015). Extracting news text from web pages. 1–4. 1 indexed citations
6.
Zhao, Jing, Aron Henriksson, Lars Asker, & Henrik Boström. (2015). Predictive modeling of structured electronic health records for adverse drug event detection. BMC Medical Informatics and Decision Making. 15(S4). S1–S1. 51 indexed citations
7.
Henelius, Andreas, Kai Puolamäki, Henrik Boström, Lars Asker, & Panagiotis Papapetrou. (2014). A peek into the black box: exploring classifiers by randomization. Data Mining and Knowledge Discovery. 28(5-6). 1503–1529. 60 indexed citations
8.
Zhao, Jing, Isak Karlsson, Lars Asker, & Henrik Boström. (2013). Applying Methods for Signal Detection in Spontaneous Reports to Electronic Patient Records. Knowledge Discovery and Data Mining. 4 indexed citations
9.
Asker, Lars, et al.. (2013). Short-term forecasting of electricity consumption in maputo. 132–136. 1 indexed citations
10.
Asker, Lars, et al.. (2011). ICT for automated forecasting of electrical power consumption: A case study in Maputo. 1–8. 2 indexed citations
11.
Gambäck, Björn & Lars Asker. (2010). Experiences with developing language processing tools and corpora for Amharic. 1–8. 1 indexed citations
12.
Gambäck, Björn, et al.. (2006). Applying machine learning to Amharic text classification. Violence and Victims. 16(2). 185–202. 5 indexed citations
13.
Asker, Lars, et al.. (2005). WEB MINING FOR AN AMHARIC - ENGLISH BILINGUAL CORPUS. 239–246. 3 indexed citations
14.
Eriksson, Gunnar, et al.. (2002). Protein names and how to find them. International Journal of Medical Informatics. 67(1-3). 49–61. 96 indexed citations
15.
Olsson, Fredrik, et al.. (2002). Notions of correctness when evaluating protein name taggers. 1. 1–7. 38 indexed citations
16.
Eriksson, Gunnar, et al.. (2002). Exploiting Syntax when Detecting Protein Names in Text. KTH Publication Database DiVA (KTH Royal Institute of Technology). 19 indexed citations
17.
Cöster, Rickard & Lars Asker. (2000). A similarity-based approach to relevance learning. European Conference on Artificial Intelligence. 276–280. 1 indexed citations
18.
Burl, Michael C., Lars Asker, Padhraic Smyth, et al.. (1998). Learning to Recognize Volcanoes on Venus. Machine Learning. 30(2-3). 165–194. 60 indexed citations
19.
Asker, Lars & Richard Maclin. (1997). Ensembles as a sequence of classifiers. International Joint Conference on Artificial Intelligence. 2. 860–865. 17 indexed citations
20.
Asker, Lars & Richard Maclin. (1997). Feature Engineering and Classifier Selection: A Case Study in Venusian Volcano Detection. International Conference on Machine Learning. 35(8). 3–11. 9 indexed citations

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.

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