Hercules Dalianis
About
In The Last Decade
Hercules Dalianis
122 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 133
- Artificial Intelligence 1.3k
- Molecular Biology 796
- Health Information Management 287
- Epidemiology 133
- Information Systems 113
Countries citing papers authored by Hercules Dalianis
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 6 | |
| 4 | 3 | |
| 5 | 5 | |
| 6 | Improving Named Entity Recognition and Classification in Class Imbalanced Swedish Electronic Patient Records through Resampling | 1 |
| 7 | Detecting Adverse Drug Events from Swedish Electronic Health Records using Text Mining | 3 |
| 8 | A Semi-supervised Approach for De-identification of Swedish Clinical Text | 2 |
| 9 | Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx. | 17 |
| 10 | HEALTH BANK - A Workbench for Data Science Applications in Healthcare | 41 |
| 11 | 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 |
| 12 | Stockholm EPR Corpus : A Clinical Database Used to Improve Health Care | 40 |
| 13 | Using active learning and pre-tagging for annotating clinical findings in health record text | 1 |
| 14 | Detection of Hospital Acquired Infections in Sparse and Noisy Swedish Patient Records | 5 |
| 15 | Retrieving disorders and findings: Results using SNOMED CT and NegEx adapted for Swedish | 5 |
| 16 | Creating and evaluating a consensus for negated and speculative words in a Swedish clinical corpus | 5 |
| 17 | Characteristics and Analysis of Finnish and Swedish Clinical Intensive Care Nursing Narratives | 10 |
| 18 | Uncertainty Detection as Approximate Max-Margin Sequence Labelling | 3 |
| 19 | How Certain are Clinical Assessments? : Annotating Swedish Clinical Text for (Un)certainties, Speculations and Negations | 14 |
| 20 | Hand-crafted versus Machine-learned Inflectional Rules: The Euroling-SiteSeeker Stemmer and CST's Lemmatiser. | 6 |
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.