Christian Hardmeier
About
In The Last Decade
Christian Hardmeier
59 papers receiving 741 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 819
- Computer Vision and Pattern Recognition 85
- Language and Linguistics 60
- Information Systems 31
- Molecular Biology 21
Countries citing papers authored by Christian Hardmeier
This map shows the geographic impact of Christian Hardmeier'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 Christian Hardmeier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Christian Hardmeier more than expected).
Fields of papers citing papers by Christian Hardmeier
This network shows the impact of papers produced by Christian Hardmeier. 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 Christian Hardmeier. The network helps show where Christian Hardmeier may publish in the future.
Co-authorship network of co-authors of Christian Hardmeier
This figure shows the co-authorship network connecting the top 25 collaborators of Christian Hardmeier. A scholar is included among the top collaborators of Christian Hardmeier 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 Christian Hardmeier. Christian Hardmeier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Experimental Standards for Deep Learning Research: A Natural Language Processing Perspective | 1 |
| 3 | 1 | |
| 4 | Exploiting Cross-Lingual Hints to Discover Event Pronouns | 1 |
| 5 | Multilingual Named Entity Recognition using Hybrid Neural Networks | 11 |
| 6 | PROTEST: A Test Suite for Evaluating Pronouns in Machine Translation | 26 |
| 7 | A Neural Model for Part-of-Speech Tagging in Historical Texts | 5 |
| 8 | Translating Pronouns with Latent Anaphora Resolution | 2 |
| 9 | ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT | 32 |
| 10 | Tunable Distortion Limits and Corpus Cleaning for SMT | 9 |
| 11 | Feature Weight Optimization for Discourse-Level SMT | 7 |
| 12 | Docent: A Document-Level Decoder for Phrase-Based Statistical Machine Translation | 31 |
| 13 | Statistical Machine Translation with Readability Constraints | 17 |
| 14 | 32 | |
| 15 | Tree Kernels for Machine Translation Quality Estimation | 19 |
| 16 | Document-Wide Decoding for Phrase-Based Statistical Machine Translation | 52 |
| 17 | The Uppsala-FBK systems at WMT 2011 | 3 |
| 18 | FBK at WMT 2010: Word Lattices for Morphological Reduction and Chunk-Based Reordering | 12 |
| 19 | 18 | |
| 20 | 7 |
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.