Michael Demel
Impact in
-
- Computational Drug Discovery Methods
- Artificial Intelligence top 10%
- Machine Learning and Data Classification
- Text and Document Classification Technologies
- Imbalanced Data Classification Techniques
- Neural Networks and Applications
Papers in
- Oncology 4
- Drug Transport and Resistance Mechanisms 4
-
- Computational Drug Discovery Methods 4
- Co-authors
- Gerhard F. Ecker (6 shared papers)Wilfried N. Gansterer (3 shared papers)Andreas Janecek (3 shared papers)Peter Ettmayer (3 shared papers)Eric Haaksma (3 shared papers)Oliver H. Krämer (2 shared papers)Jutta Zwielehner (1 shared paper)Michael Handschur (1 shared paper)
- Journals
- Expert Opinion on Drug Metabolism & Toxicology (1 paper)Molecular Nutrition & Food Research (1 paper)Chemistry & Biodiversity (1 paper)Molecular Informatics (1 paper)Current Computer - Aided Drug Design (1 paper)
- Partner nations
- AustriaUnited StatesCanada
In The Last Decade
Michael Demel
10 papers receiving 335 citations
Peers
Comparison fields: 5 of 113
- Computational Theory and Mathematics 57
- Artificial Intelligence 109
- Computer Vision and Pattern Recognition 59
- Health Information Management 13
- Oncology 67
Countries citing papers authored by Michael Demel
This map shows the geographic impact of Michael Demel'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 Michael Demel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Demel more than expected).
Fields of papers citing papers by Michael Demel
This network shows the impact of papers produced by Michael Demel. 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 Michael Demel. The network helps show where Michael Demel may publish in the future.
Co-authors
The 14 scholars most cited alongside Michael Demel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | On the relationship between feature selection and classification accuracy | 2008 | 202 |
| 2 | 2008 | 43 | |
| 3 | 2008 | 33 | |
| 4 | 2009 | 30 | |
| 5 | 2008 | 22 | |
| 6 | 2010 | 15 | |
| 7 | 2009 | 5 | |
| 8 | 1999 | 4 | |
| 9 | Funktionen und Kontrolle der Gewalten | 2001 | 1 |
| 10 | 2009 | 1 |
About Michael Demel
Michael Demel is a scholar working on Oncology, Computational Theory and Mathematics, Infectious Diseases, Sociology and Political Science and Plant Science, having authored 10 papers that have together received 356 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Drug Transport and Resistance Mechanisms (4 papers), Criminal Law and Policy (2 papers), HIV/AIDS drug development and treatment (2 papers), Drug Solubulity and Delivery Systems (1 paper), Plant-Microbe Interactions and Immunity (1 paper), Space Exploration and Technology (1 paper) and German legal, social, and political studies (1 paper). The work is most often cited by research in Computational Theory and Mathematics (57 citations), Artificial Intelligence (109 citations), Computer Vision and Pattern Recognition (59 citations), Health Information Management (13 citations) and Oncology (67 citations). Michael Demel has collaborated with scholars based in Austria, United States and Canada. Frequent co-authors include Gerhard F. Ecker, Wilfried N. Gansterer, Andreas Janecek, Peter Ettmayer, Eric Haaksma, Oliver H. Krämer, Jutta Zwielehner, Michael Handschur, Ewald B.M. Denner and Alexander G. Haslberger. Their work appears in journals such as Expert Opinion on Drug Metabolism & Toxicology, Molecular Nutrition & Food Research, Chemistry & Biodiversity, Molecular Informatics and Current Computer - Aided Drug Design.
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.