Countries citing papers authored by Hercules Dalianis
Since
Specialization
Citations
This map shows the geographic impact of Hercules Dalianis'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 Hercules Dalianis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hercules Dalianis more than expected).
Fields of papers citing papers by Hercules Dalianis
This network shows the impact of papers produced by Hercules Dalianis. 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 Hercules Dalianis. The network helps show where Hercules Dalianis may publish in the future.
Co-authorship network of co-authors of Hercules Dalianis
This figure shows the co-authorship network connecting the top 25 collaborators of Hercules Dalianis.
A scholar is included among the top collaborators of Hercules Dalianis 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 Hercules Dalianis. Hercules Dalianis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dalianis, Hercules, et al.. (2020). Improving Named Entity Recognition and Classification in Class Imbalanced Swedish Electronic Patient Records through Resampling. KTH Publication Database DiVA (KTH Royal Institute of Technology).1 indexed citations
7.
Dalianis, Hercules, et al.. (2020). Detecting Adverse Drug Events from Swedish Electronic Health Records using Text Mining. Language Resources and Evaluation. 1–8.3 indexed citations
8.
Dalianis, Hercules, et al.. (2020). A Semi-supervised Approach for De-identification of Swedish Clinical Text. Language Resources and Evaluation. 4444–4450.2 indexed citations
9.
Weegar, Rebecka, Maria Kvist, Karin Sundström, Søren Brunak, & Hercules Dalianis. (2015). Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx.. PubMed. 2015. 1296–305.17 indexed citations
10.
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
11.
Dalianis, Hercules, et al.. (2012). Detection of Hospital Acquired Infections in sparse and noisy Swedish patient records : A machine learning approach using Naïve Bayes, Support Vector Machines and C4.5.4 indexed citations
12.
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
13.
Skeppstedt, Maria & Hercules Dalianis. (2012). Using active learning and pre-tagging for annotating clinical findings in health record text. 98–99.1 indexed citations
14.
Tiedemann, Jörg, et al.. (2012). Detection of Hospital Acquired Infections in Sparse and Noisy Swedish Patient Records.5 indexed citations
15.
Skeppstedt, Maria, Hercules Dalianis, & Gunnar Nilsson. (2011). Retrieving disorders and findings: Results using SNOMED CT and NegEx adapted for Swedish. KTH Publication Database DiVA (KTH Royal Institute of Technology).5 indexed citations
16.
Dalianis, Hercules & Maria Skeppstedt. (2010). Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus. KTH Publication Database DiVA (KTH Royal Institute of Technology). 5–13.5 indexed citations
17.
Dalianis, Hercules, Martin Hassel, Dimitrios Kokkinakis, et al.. (2010). Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives. ANU Open Research (Australian National University). 53–60.10 indexed citations
18.
Täckström, Oscar, Sumithra Velupillai, Martin Hassel, et al.. (2010). Uncertainty Detection as Approximate Max-Margin Sequence Labelling. KTH Publication Database DiVA (KTH Royal Institute of Technology). 84–91.3 indexed citations
19.
Dalianis, Hercules & Sumithra Velupillai. (2010). How Certain are Clinical Assessments? : Annotating Swedish Clinical Text for (Un)certainties, Speculations and Negations. Language Resources and Evaluation. 3071–3075.14 indexed citations
20.
Dalianis, Hercules, et al.. (2006). Hand-crafted versus Machine-learned Inflectional Rules: The Euroling-SiteSeeker Stemmer and CST's Lemmatiser.. Language Resources and Evaluation. 663–666.6 indexed citations
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