Michael Strube
About
In The Last Decade
Michael Strube
372 papers receiving 11.8k citations
Hit Papers
Peers
Comparison fields: 5 of 204
- Artificial Intelligence 3.5k
- Cognitive Neuroscience 2.4k
- Social Psychology 1.7k
- Clinical Psychology 1.6k
- Sociology and Political Science 1.5k
Countries citing papers authored by Michael Strube
This map shows the geographic impact of Michael Strube'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 Strube with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Strube more than expected).
Fields of papers citing papers by Michael Strube
This network shows the impact of papers produced by Michael Strube. 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 Strube. The network helps show where Michael Strube may publish in the future.
Co-authorship network of co-authors of Michael Strube
This figure shows the co-authorship network connecting the top 25 collaborators of Michael Strube. A scholar is included among the top collaborators of Michael Strube 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 Strube. Michael Strube is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 12 | |
| 4 | 37 | |
| 5 | 25 | |
| 6 | 10 | |
| 7 | Proceedings of the IJCNLP 2017, Tutorial Abstracts | 1 |
| 8 | BPEmb: Tokenization-free Pre-trained Subword Embeddings in 275 Languages | 36 |
| 9 | 79 | |
| 10 | 3 | |
| 11 | HITS at TAC KBP 2015: Entity discovery and linking, and event nugget detection | 3 |
| 12 | Integrating importance, non-redundancy and coherence in graph-based extractive summarization | 44 |
| 13 | 36 | |
| 14 | 13 | |
| 15 | A Multigraph Model for Coreference Resolution | 14 |
| 16 | Concept-based Selectional Preferences and Distributional Representations from Wikipedia Articles | 1 |
| 17 | Unrestricted Coreference Resolution via Global Hypergraph Partitioning | 14 |
| 18 | A Three-stage Disfluency Classifier for Multi Party Dialogues | 1 |
| 19 | 1 | |
| 20 | 15 |
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.