Marius Hobbhahn
About
In The Last Decade
Marius Hobbhahn
1 paper receiving 143 citations
Hit Papers
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 63
- Electrical and Electronic Engineering 48
- Computer Vision and Pattern Recognition 18
- Computer Networks and Communications 16
- Hardware and Architecture 14
Countries citing papers authored by Marius Hobbhahn
This map shows the geographic impact of Marius Hobbhahn'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 Marius Hobbhahn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marius Hobbhahn more than expected).
Fields of papers citing papers by Marius Hobbhahn
This network shows the impact of papers produced by Marius Hobbhahn. 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 Marius Hobbhahn. The network helps show where Marius Hobbhahn may publish in the future.
Co-authorship network of co-authors of Marius Hobbhahn
This figure shows the co-authorship network connecting the top 25 collaborators of Marius Hobbhahn. A scholar is included among the top collaborators of Marius Hobbhahn 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 Marius Hobbhahn. Marius Hobbhahn 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 | 0 | |
| 3 | Compute Trends Across Three Eras of Machine Learning breakdown → | 153 |
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.