Klaus Berberich
About
In The Last Decade
Klaus Berberich
68 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 1.4k
- Information Systems 617
- Signal Processing 303
- Computer Networks and Communications 271
- Management Science and Operations Research 255
Countries citing papers authored by Klaus Berberich
This map shows the geographic impact of Klaus Berberich'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 Klaus Berberich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Klaus Berberich more than expected).
Fields of papers citing papers by Klaus Berberich
This network shows the impact of papers produced by Klaus Berberich. 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 Klaus Berberich. The network helps show where Klaus Berberich may publish in the future.
Co-authorship network of co-authors of Klaus Berberich
This figure shows the co-authorship network connecting the top 25 collaborators of Klaus Berberich. A scholar is included among the top collaborators of Klaus Berberich 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 Klaus Berberich. Klaus Berberich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | htw saar @ TREC 2018 News Track. | 4 |
| 3 | A Position-Aware Deep Model for Relevance Matching in Information Retrieval. | 6 |
| 4 | 5 | |
| 5 | A Probabilistic Framework for Time-Sensitive Search: MPII at the NTCIR-12 Temporalia-2 Task. | 1 |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 2 | |
| 9 | YAGO2: a spatially and temporally enhanced knowledge base from wikipedia (extended abstract) | 12 |
| 10 | 70 | |
| 11 | Natural Language Questions for the Web of Data | 111 |
| 12 | YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia breakdown → | 745 |
| 13 | 14 | |
| 14 | 18 | |
| 15 | Time Will Tell: Leveraging Temporal Expressions in IR | 18 |
| 16 | Scalable Phrase Mining for Ad-hoc Text Analytics | 1 |
| 17 | 5 | |
| 18 | FluxCapacitor: Efficient Time-Travel Text Search | 11 |
| 19 | Efficient Time-Travel on Versioned Text Collections | 4 |
| 20 | EntityAuthority: Semantically Enriched Graph-Based Authority Propagation | 6 |
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.