Michael Demel
Impact in
- Health Information Management top 10%
-
- Computational Drug Discovery Methods
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)Eric Haaksma (3 shared papers)Peter Ettmayer (3 shared papers)Oliver H. Krämer (2 shared papers)Alexander G. Haslberger (1 shared paper)Michael Handschur (1 shared paper)
- Journals
- Chemistry & Biodiversity (1 paper)Expert Opinion on Drug Metabolism & Toxicology (1 paper)Molecular Nutrition & Food Research (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 379 citations
Peers
Comparison fields: 5 of 117
- Health Information Management 17
- Computational Theory and Mathematics 65
- Artificial Intelligence 123
- Computer Vision and Pattern Recognition 66
- Oncology 71
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 15 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 | 230 |
| 2 | 2008 | 44 | |
| 3 | 2008 | 41 | |
| 4 | 2009 | 35 | |
| 5 | 2008 | 22 | |
| 6 | 2010 | 16 | |
| 7 | 1999 | 8 | |
| 8 | 2009 | 7 | |
| 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 405 indexed citations. Recurring topics across this work include Drug Transport and Resistance Mechanisms (4 papers), Computational Drug Discovery Methods (4 papers), Criminal Law and Policy (2 papers), HIV/AIDS drug development and treatment (2 papers), Inflammatory mediators and NSAID effects (1 paper), Drug Solubulity and Delivery Systems (1 paper), Psychoanalysis and Social Critique (1 paper) and Medical and Health Sciences Research (1 paper). The work is most often cited by research in Health Information Management (17 citations), Computational Theory and Mathematics (65 citations), Artificial Intelligence (123 citations), Computer Vision and Pattern Recognition (66 citations) and Oncology (71 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, Eric Haaksma, Peter Ettmayer, Oliver H. Krämer, Alexander G. Haslberger, Michael Handschur, Jutta Zwielehner and Ewald B.M. Denner. Their work appears in journals such as Chemistry & Biodiversity, Expert Opinion on Drug Metabolism & Toxicology, Molecular Nutrition & Food Research, 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.