Johannes Manner
- Information Systems top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Sociology and Political Science
- Co-authors
- Stefan KolbNico HerzbergStephan HaarmannOliver KoppGuido WirtzTobias HeckelSebastian BöhmJörg Lenhard
- Topics
- Cloud Computing and Resource Management (7 papers)Software System Performance and Reliability (4 papers)IoT and Edge/Fog Computing (3 papers)
- Journals
- mediaTUM (Technical University of Munich)Zenodo (CERN European Organization for Nuclear Research)CEUR Workshop Proceedings
- Partner nations
- Germany
In The Last Decade
Johannes Manner
10 papers receiving 588 citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Information Systems 224
- Artificial Intelligence 167
- Computer Networks and Communications 144
- Computer Vision and Pattern Recognition 69
- Sociology and Political Science 39
Countries citing papers authored by Johannes Manner
This map shows the geographic impact of Johannes Manner'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 Johannes Manner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johannes Manner more than expected).
Fields of papers citing papers by Johannes Manner
This network shows the impact of papers produced by Johannes Manner. 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 Johannes Manner. The network helps show where Johannes Manner may publish in the future.
Co-authorship network of co-authors of Johannes Manner
This figure shows the co-authorship network connecting the top 25 collaborators of Johannes Manner. A scholar is included among the top collaborators of Johannes Manner 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 Johannes Manner. Johannes Manner 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 | 1 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 6 | |
| 7 | CEUR workshop proceedingsbreakdown → | 486 |
| 8 | 2 | |
| 9 | 13 | |
| 10 | Towards Performance and Cost Simulation in Function as a Service | 4 |
| 11 | 20 | |
| 12 | 77 | |
| 13 | Teaching clean code | 2 |
About Johannes Manner
Johannes Manner is a scholar working on Information Systems, Software and Computer Networks and Communications, having authored 13 papers that have together received 620 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (7 papers), Software System Performance and Reliability (4 papers) and IoT and Edge/Fog Computing (3 papers). The work is most often cited by research in Information Systems (224 citations), Health Informatics (11 citations) and Computer Networks and Communications (144 citations). Johannes Manner has collaborated with scholars based in Germany. Frequent co-authors include Stefan Kolb, Nico Herzberg, Stephan Haarmann, Oliver Kopp, Guido Wirtz, Tobias Heckel, Sebastian Böhm and Jörg Lenhard. Their work appears in journals such as mediaTUM (Technical University of Munich), Zenodo (CERN European Organization for Nuclear Research) and CEUR Workshop Proceedings.
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.