Sebastian Mayer
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Biomedical Engineering
- Co-authors
- Jochen GarckeSven GiesselbachBirgit KirschRajkumar RamamurthyJannis SchueckerLaura von RuedenJulius PfrommerBogdan Georgiev
- Topics
- Digital Transformation in Industry (3 papers)Flexible and Reconfigurable Manufacturing Systems (3 papers)Mathematical Approximation and Integration (3 papers)
In The Last Decade
Sebastian Mayer
21 papers receiving 650 citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 190
- Electrical and Electronic Engineering 88
- Mechanical Engineering 83
- Control and Systems Engineering 73
- Biomedical Engineering 55
Countries citing papers authored by Sebastian Mayer
This map shows the geographic impact of Sebastian Mayer'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 Sebastian Mayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Mayer more than expected).
Fields of papers citing papers by Sebastian Mayer
This network shows the impact of papers produced by Sebastian Mayer. 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 Sebastian Mayer. The network helps show where Sebastian Mayer may publish in the future.
Co-authorship network of co-authors of Sebastian Mayer
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Mayer. A scholar is included among the top collaborators of Sebastian Mayer 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 Sebastian Mayer. Sebastian Mayer 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 | 12 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 7 | |
| 6 | Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systemsbreakdown → | 469 |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 13 | |
| 10 | 68 | |
| 11 | 19 | |
| 12 | 2 | |
| 13 | 4 | |
| 14 | 0 | |
| 15 | 15 | |
| 16 | 19 | |
| 17 | 1 | |
| 18 | Hilbert modular forms for the fields Q( 5), Q( 13) and Q( 17) | 2 |
| 19 | 18 | |
| 20 | 5 |
About Sebastian Mayer
Sebastian Mayer is a scholar working on Numerical Analysis, Industrial and Manufacturing Engineering and Neuropsychology and Physiological Psychology, having authored 23 papers that have together received 677 indexed citations. Recurring topics across this work include Digital Transformation in Industry (3 papers), Flexible and Reconfigurable Manufacturing Systems (3 papers) and Mathematical Approximation and Integration (3 papers). The work is most often cited by research in Health Informatics (13 citations), Numerical Analysis (39 citations) and Artificial Intelligence (190 citations). Sebastian Mayer has collaborated with scholars based in Germany, Austria and Australia. Frequent co-authors include Jochen Garcke, Sven Giesselbach, Birgit Kirsch, Rajkumar Ramamurthy, Jannis Schuecker, Laura von Rueden, Julius Pfrommer, Bogdan Georgiev, Katharina Beckh and Raoul Heese. Their work appears in journals such as IEEE Access, Separation and Purification Technology and IEEE Transactions on Knowledge and Data Engineering.
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.