Aron Henriksson

1.5k total citations
63 papers, 993 citations indexed

About

Aron Henriksson is a scholar working on Artificial Intelligence, Molecular Biology and Toxicology. According to data from OpenAlex, Aron Henriksson has authored 63 papers receiving a total of 993 indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Artificial Intelligence, 33 papers in Molecular Biology and 9 papers in Toxicology. Recurrent topics in Aron Henriksson's work include Biomedical Text Mining and Ontologies (31 papers), Machine Learning in Healthcare (25 papers) and Topic Modeling (25 papers). Aron Henriksson is often cited by papers focused on Biomedical Text Mining and Ontologies (31 papers), Machine Learning in Healthcare (25 papers) and Topic Modeling (25 papers). Aron Henriksson collaborates with scholars based in Sweden, United States and Denmark. Aron Henriksson's co-authors include Hercules Dalianis, Jing Zhao, Martin Duneld, Henrik Boström, Maria Kvist, Magnus Sundbom, Maria Skeppstedt, Marcus Sundbom, B. Roos and Martin Hassel and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Critical Care Medicine.

In The Last Decade

Aron Henriksson

62 papers receiving 920 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Aron Henriksson Sweden 17 545 423 170 148 94 63 993
Kin Wah Fung United States 25 290 0.5× 447 1.1× 65 0.4× 77 0.5× 211 2.2× 87 1.4k
Francisco Palácios Spain 43 35 0.1× 1.4k 3.3× 114 0.7× 166 1.1× 33 0.4× 294 8.0k
Ming Huang United States 17 132 0.2× 254 0.6× 11 0.1× 67 0.5× 78 0.8× 67 757
Yefeng Wang China 12 241 0.4× 254 0.6× 10 0.1× 89 0.6× 41 0.4× 43 534
Malika Smaïl‐Tabbone France 14 149 0.3× 330 0.8× 29 0.2× 35 0.2× 25 0.3× 49 947
Qiang Wei China 13 470 0.9× 374 0.9× 37 0.2× 18 0.1× 83 0.9× 40 1.1k
Luca Toldo Germany 12 388 0.7× 489 1.2× 149 0.9× 8 0.1× 56 0.6× 23 916
Elena Tutubalina Russia 15 526 1.0× 210 0.5× 60 0.4× 22 0.1× 21 0.2× 71 792
Qing Zeng United States 28 866 1.6× 1.2k 2.9× 21 0.1× 55 0.4× 618 6.6× 96 2.5k
Alex M. Clark United States 24 82 0.2× 744 1.8× 7 0.0× 311 2.1× 19 0.2× 66 2.0k

Countries citing papers authored by Aron Henriksson

Since Specialization
Citations

This map shows the geographic impact of Aron Henriksson'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 Aron Henriksson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aron Henriksson more than expected).

Fields of papers citing papers by Aron Henriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aron Henriksson. 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 Aron Henriksson. The network helps show where Aron Henriksson may publish in the future.

Co-authorship network of co-authors of Aron Henriksson

This figure shows the co-authorship network connecting the top 25 collaborators of Aron Henriksson. A scholar is included among the top collaborators of Aron Henriksson 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 Aron Henriksson. Aron Henriksson 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.
Henriksson, Aron, et al.. (2025). Identifying Adverse Drug Events in Clinical Text Using Fine-Tuned Clinical Language Models: Machine Learning Study. JMIR Formative Research. 9. e71949–e71949.
2.
Pavlopoulos, John, et al.. (2024). CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification. 7695–7715. 1 indexed citations
3.
Verberk, Janneke D. M., Suzanne D. van der Werff, Rebecka Weegar, et al.. (2023). The augmented value of using clinical notes in semi-automated surveillance of deep surgical site infections after colorectal surgery. Antimicrobial Resistance and Infection Control. 12(1). 117–117. 6 indexed citations
4.
Valik, John Karlsson, Anders Johansson, Anna Färnert, et al.. (2023). Predicting sepsis onset using a machine learned causal probabilistic network algorithm based on electronic health records data. Scientific Reports. 13(1). 11760–11760. 17 indexed citations
5.
Werff, Suzanne D. van der, Aron Henriksson, Hercules Dalianis, et al.. (2022). The accuracy of fully automated algorithms for surveillance of healthcare-onset Clostridioides difficile infections in hospitalized patients. SHILAP Revista de lepidopterología. 2(1). e43–e43. 3 indexed citations
6.
Werff, Suzanne D. van der, John Karlsson Valik, Aron Henriksson, et al.. (2021). The accuracy of fully automated algorithms for surveillance of healthcare-associated urinary tract infections in hospitalized patients. Journal of Hospital Infection. 110. 139–147. 10 indexed citations
7.
Henriksson, Aron, et al.. (2020). Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis. KTH Publication Database DiVA (KTH Royal Institute of Technology). 45–55. 5 indexed citations
8.
Henriksson, Aron, et al.. (2020). Deep Learning from Heterogeneous Sequences of Sparse Medical Data for Early Prediction of Sepsis. 45–55. 2 indexed citations
9.
Skeppstedt, Maria, et al.. (2016). Expansion of medical vocabularies using distributional semantics on Japanese patient blogs. Journal of Biomedical Semantics. 7(1). 58–58. 9 indexed citations
10.
Henriksson, Aron, Jing Zhao, Hercules Dalianis, & Henrik Boström. (2016). Ensembles of randomized trees using diverse distributed representations of clinical events. BMC Medical Informatics and Decision Making. 16(S2). 69–69. 17 indexed citations
11.
Dalianis, Hercules, Aron Henriksson, Maria Kvist, Sumithra Velupillai, & Rebecka Weegar. (2015). HEALTH BANK - A Workbench for Data Science Applications in Healthcare. Research Portal (King's College London). 1381. 1–18. 41 indexed citations
12.
Henriksson, Aron, Maria Kvist, Hercules Dalianis, & Martin Duneld. (2015). Identifying adverse drug event information in clinical notes with distributional semantic representations of context. Journal of Biomedical Informatics. 57. 333–349. 75 indexed citations
13.
Henriksson, Aron, et al.. (2014). Synonym extraction and abbreviation expansion with ensembles of semantic spaces. Journal of Biomedical Semantics. 5(1). 6–6. 63 indexed citations
14.
Skeppstedt, Maria, et al.. (2013). Vocabulary Expansion by Semantic Extraction of Medical Terms. 63–68. 11 indexed citations
15.
Henriksson, Aron, Maria Skeppstedt, Maria Kvist, Martin Duneld, & Mike Conway. (2013). Corpus-Driven Terminology Development: Populating Swedish SNOMED CT with Synonyms Extracted from Electronic Health Records. Meeting of the Association for Computational Linguistics. 36–44. 16 indexed citations
16.
Dalianis, Hercules, Martin Hassel, Aron Henriksson, & Maria Skeppstedt. (2012). Stockholm EPR Corpus : A Clinical Database Used to Improve Health Care. 17–18. 40 indexed citations
17.
Henriksson, Aron, et al.. (2012). Synonym Extraction of Medical Terms from Clinical Text Using Combinations of Word Space Models. Vytautas Magnus University. 10–17. 13 indexed citations
18.
Henriksson, Aron, Maria Kvist, Martin Hassel, & Hercules Dalianis. (2012). Exploration of Adverse Drug Reactions in Semantic Vector Space Models of Clinical Text. International Conference on Machine Learning. 10 indexed citations
19.
Henriksson, Aron & Sumithra Velupillai. (2010). Levels of certainty in knowledge-intensive corpora: an initial annotation study. Meeting of the Association for Computational Linguistics. 41–45. 4 indexed citations
20.
Henriksson, Aron. (2009). THE EXECUTIVE SUPPORT SYSTEMS AS INNOVATIVE TOOLS FOR THE EVALUATION OF FINANCIAL PROJECTS. RePEc: Research Papers in Economics. 3(2). 373–380. 3 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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