Daniel Schall
About
In The Last Decade
Daniel Schall
101 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 98
- Nuclear and High Energy Physics 812
- Information Systems 472
- Computer Networks and Communications 310
- Artificial Intelligence 292
- Computer Science Applications 274
Countries citing papers authored by Daniel Schall
This map shows the geographic impact of Daniel Schall'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 Daniel Schall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Schall more than expected).
Fields of papers citing papers by Daniel Schall
This network shows the impact of papers produced by Daniel Schall. 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 Daniel Schall. The network helps show where Daniel Schall may publish in the future.
Co-authorship network of co-authors of Daniel Schall
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Schall. A scholar is included among the top collaborators of Daniel Schall 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 Daniel Schall. Daniel Schall is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 3 | |
| 3 | 15 | |
| 4 | Towards an Energy-Proportional Storage System using a Cluster of Wimpy Nodes. | 6 |
| 5 | Trusted Information Sharing using SOA-Based Social Overlay Networks. | 4 |
| 6 | 1 | |
| 7 | WattDB – A cluster of wimpy processing nodes to approximate energy proportionality | 0 |
| 8 | SSD != SSD - An Empirical Study to Identify Common Properties and Type-specific Behavior. | 2 |
| 9 | Measuring Energy Consumption of a Database Cluster. | 3 |
| 10 | 2 | |
| 11 | 20 | |
| 12 | 5 | |
| 13 | 17 | |
| 14 | 9 | |
| 15 | 4 | |
| 16 | The New Role of Humans in the Future Internet. | 1 |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 16 | |
| 20 | 113 |
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.