Peter Stagge
Impact in
- Signal Processing top 10%
- Time Series Analysis and Forecasting
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications
- Neural Networks and Applications
- Metaheuristic Optimization Algorithms Research
- Evolutionary Algorithms and Applications
Papers in
-
- Evolutionary Algorithms and Applications 3
- Metaheuristic Optimization Algorithms Research 3
- Neural Networks and Applications 2
-
- Bioinformatics and Genomic Networks 1
- Gene Regulatory Network Analysis 1
- Co-authors
- Michael Hüsken (2 shared papers)Christian Igel (3 shared papers)Frank Joublin (1 shared paper)J. Wiemer (1 shared paper)Friederike Spengler (1 shared paper)Jörn Mehnen (1 shared paper)Klaus Weinert (1 shared paper)
- Journals
- IEEE Transactions on Evolutionary Computation (1 paper)Biological Cybernetics (1 paper)Neurocomputing (1 paper)Zeitschrift für wirtschaftlichen Fabrikbetrieb (1 paper)
- Partner nations
- Germany
In The Last Decade
Peter Stagge
6 papers receiving 288 citations
Peers
Comparison fields: 5 of 90
- Signal Processing 74
- Artificial Intelligence 140
- Cognitive Neuroscience 43
- Management Science and Operations Research 23
- Building and Construction 17
Countries citing papers authored by Peter Stagge
This map shows the geographic impact of Peter Stagge'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 Peter Stagge with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Stagge more than expected).
Fields of papers citing papers by Peter Stagge
This network shows the impact of papers produced by Peter Stagge. 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 Peter Stagge. The network helps show where Peter Stagge may publish in the future.
Co-authors
The 7 scholars most cited alongside Peter Stagge, 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 | 2003 | 250 | |
| 2 | 2000 | 28 | |
| 3 | 2002 | 12 | |
| 4 | 2002 | 8 | |
| 5 | 2003 | 2 | |
| 6 | 2001 | 1 |
About Peter Stagge
Peter Stagge is a scholar working on Artificial Intelligence, Molecular Biology, Control and Systems Engineering, Cognitive Neuroscience and Signal Processing, having authored 6 papers that have together received 301 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (3 papers), Metaheuristic Optimization Algorithms Research (3 papers), Neural Networks and Applications (2 papers), Bioinformatics and Genomic Networks (1 paper), Time Series Analysis and Forecasting (1 paper), Blind Source Separation Techniques (1 paper), Gene Regulatory Network Analysis (1 paper) and Vibration and Dynamic Analysis (1 paper). The work is most often cited by research in Signal Processing (74 citations), Artificial Intelligence (140 citations), Cognitive Neuroscience (43 citations), Management Science and Operations Research (23 citations) and Building and Construction (17 citations). Peter Stagge has collaborated with scholars based in Germany. Frequent co-authors include Michael Hüsken, Christian Igel, Frank Joublin, J. Wiemer, Friederike Spengler, Jörn Mehnen and Klaus Weinert. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Biological Cybernetics, Neurocomputing and Zeitschrift für wirtschaftlichen Fabrikbetrieb.
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.