Michael Zapf
- Plant Science
- Artificial Intelligence
- Computer Networks and Communications
- Food Science
- Molecular Biology
- Co-authors
- Kurt GeihsThomas WeiseRudi F. VogelLudwig NiessenKlaus HerrmannFrank RabensteinMohammad Ullah KhanArmin Heinzl
- Topics
- Evolutionary Algorithms and Applications (10 papers)Service-Oriented Architecture and Web Services (7 papers)Business Process Modeling and Analysis (6 papers)
- Partner nations
- Germany
In The Last Decade
Michael Zapf
24 papers receiving 171 citations
Peers
Comparison fields: 5 of 48
- Plant Science 52
- Artificial Intelligence 49
- Computer Networks and Communications 44
- Food Science 30
- Molecular Biology 27
Countries citing papers authored by Michael Zapf
This map shows the geographic impact of Michael Zapf'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 Zapf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Zapf more than expected).
Fields of papers citing papers by Michael Zapf
This network shows the impact of papers produced by Michael Zapf. 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 Zapf. The network helps show where Michael Zapf may publish in the future.
Co-authorship network of co-authors of Michael Zapf
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Zapf. A scholar is included among the top collaborators of Michael Zapf 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 Michael Zapf. Michael Zapf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | Applicability of Emergence Engineering to Distributed Systems Scenarios | 1 |
| 6 | 20 | |
| 7 | 11 | |
| 8 | 5 | |
| 9 | Evolving Classifiers - Evolutionary Algorithms in Data Mining | 2 |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 4 | |
| 13 | Offline Emergence Engineering For Agent Societies | 7 |
| 14 | Charakterisierung oberflächenaktiver Proteine aus Fusarium spp. und deren Einfluss auf die Blasenstabilisierung in Bier | 6 |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 37 | |
| 18 | Pattern-driven Process Design | 2 |
| 19 | 26 | |
| 20 | Design Paradigms in Agent-Based Systems. | 2 |
About Michael Zapf
Michael Zapf is a scholar working on Software, Management Information Systems and Artificial Intelligence, having authored 25 papers that have together received 185 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (10 papers), Service-Oriented Architecture and Web Services (7 papers) and Business Process Modeling and Analysis (6 papers). The work is most often cited by research in Software (10 citations), Computer Networks and Communications (44 citations) and Food Science (30 citations). Michael Zapf has collaborated with scholars based in Germany. Frequent co-authors include Kurt Geihs, Thomas Weise, Rudi F. Vogel, Ludwig Niessen, Klaus Herrmann, Frank Rabenstein, Mohammad Ullah Khan, Armin Heinzl, Steffen Bleul and Roland Reichle. Their work appears in journals such as Journal of Applied Microbiology, Computers in Industry and European Journal of Plant Pathology.
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.