Michael Bohlke‐Schneider
About
In The Last Decade
Michael Bohlke‐Schneider
7 papers receiving 426 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 150
- Management Science and Operations Research 140
- Spectroscopy 103
- Signal Processing 96
- Artificial Intelligence 65
Countries citing papers authored by Michael Bohlke‐Schneider
This map shows the geographic impact of Michael Bohlke‐Schneider'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 Bohlke‐Schneider with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Bohlke‐Schneider more than expected).
Fields of papers citing papers by Michael Bohlke‐Schneider
This network shows the impact of papers produced by Michael Bohlke‐Schneider. 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 Bohlke‐Schneider. The network helps show where Michael Bohlke‐Schneider may publish in the future.
Co-authorship network of co-authors of Michael Bohlke‐Schneider
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Bohlke‐Schneider. A scholar is included among the top collaborators of Michael Bohlke‐Schneider 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 Bohlke‐Schneider. Michael Bohlke‐Schneider is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | GluonTS: Probabilistic and Neural Time Series Modeling in Python | 71 |
| 2 | Normalizing Kalman Filters for Multivariate Time Series Analysis | 44 |
| 3 | 3 | |
| 4 | 49 | |
| 5 | 142 | |
| 6 | 117 | |
| 7 | 23 |
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.