Leonhard Hennig
About
In The Last Decade
Leonhard Hennig
30 papers receiving 260 citations
Peers
Comparison fields: 5 of 50
- Artificial Intelligence 250
- Information Systems 61
- Computer Vision and Pattern Recognition 27
- Molecular Biology 19
- Sociology and Political Science 11
Countries citing papers authored by Leonhard Hennig
This map shows the geographic impact of Leonhard Hennig'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 Leonhard Hennig with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonhard Hennig more than expected).
Fields of papers citing papers by Leonhard Hennig
This network shows the impact of papers produced by Leonhard Hennig. 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 Leonhard Hennig. The network helps show where Leonhard Hennig may publish in the future.
Co-authorship network of co-authors of Leonhard Hennig
This figure shows the co-authorship network connecting the top 25 collaborators of Leonhard Hennig. A scholar is included among the top collaborators of Leonhard Hennig 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 Leonhard Hennig. Leonhard Hennig 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 | 9 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 8 | |
| 9 | Improving Relation Extraction by Pre-trained Language Representations | 11 |
| 10 | 8 | |
| 11 | 0 | |
| 12 | TEG-REP: A corpus of Textual Entailment Graphs based on Relation Extraction Patterns. | 2 |
| 13 | 5 | |
| 14 | 1 | |
| 15 | 13 | |
| 16 | 24 | |
| 17 | GerNED: A German Corpus for Named Entity Disambiguation | 4 |
| 18 | DAI Approaches to the TAC-KBP 2011 Entity Linking Task | 3 |
| 19 | Learning Summary Content Units with Topic Modeling | 6 |
| 20 | Topic-based Multi-Document Summarization with Probabilistic Latent Semantic Analysis | 59 |
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.