Gregor Maier
About
In The Last Decade
Gregor Maier
8 papers receiving 397 citations
Peers
Comparison fields: 5 of 24
- Computer Networks and Communications 370
- Artificial Intelligence 179
- Information Systems 92
- Electrical and Electronic Engineering 75
- Signal Processing 56
Countries citing papers authored by Gregor Maier
This map shows the geographic impact of Gregor Maier'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 Gregor Maier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregor Maier more than expected).
Fields of papers citing papers by Gregor Maier
This network shows the impact of papers produced by Gregor Maier. 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 Gregor Maier. The network helps show where Gregor Maier may publish in the future.
Co-authorship network of co-authors of Gregor Maier
This figure shows the co-authorship network connecting the top 25 collaborators of Gregor Maier. A scholar is included among the top collaborators of Gregor Maier 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 Gregor Maier. Gregor Maier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | On the effects of registrar-level intervention | 27 |
| 2 | 9 | |
| 3 | 12 | |
| 4 | 264 | |
| 5 | 1 | |
| 6 | 45 | |
| 7 | 72 | |
| 8 | 1 |
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.