Hermann Ney
About
In The Last Decade
Hermann Ney
712 papers receiving 24.0k citations
Hit Papers
Peers
Comparison fields: 5 of 180
- Artificial Intelligence 22.3k
- Computer Vision and Pattern Recognition 6.5k
- Signal Processing 5.4k
- Human-Computer Interaction 2.7k
- Developmental and Educational Psychology 1.7k
Countries citing papers authored by Hermann Ney
This map shows the geographic impact of Hermann Ney'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 Hermann Ney with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hermann Ney more than expected).
Fields of papers citing papers by Hermann Ney
This network shows the impact of papers produced by Hermann Ney. 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 Hermann Ney. The network helps show where Hermann Ney may publish in the future.
Co-authorship network of co-authors of Hermann Ney
This figure shows the co-authorship network connecting the top 25 collaborators of Hermann Ney. A scholar is included among the top collaborators of Hermann Ney 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 Hermann Ney. Hermann Ney 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 | 2 | |
| 3 | 118 | |
| 4 | 32 | |
| 5 | A Performance Study of Cube Pruning for Large-Scale Hierarchical Machine Translation | 3 |
| 6 | Forced Derivations for Hierarchical Machine Translation | 3 |
| 7 | The RWTH Aachen System for NTCIR-10 PatentMT | 3 |
| 8 | Modeling punctuation prediction as machine translation. | 45 |
| 9 | The RWTH System Combination System for WMT 2010 | 2 |
| 10 | SignSpeak - Understanding, Recognition, and Translation of Sign Languages | 17 |
| 11 | The RWTH Aachen Machine Translation System for WMT 2010 | 19 |
| 12 | 3 | |
| 13 | 94 | |
| 14 | Augmenting a Small Parallel Text with Morpho-Syntactic Language | 2 |
| 15 | Integrated Chinese Word Segmentation in Statistical Machine Translation | 25 |
| 16 | Error Measures and Bayes Decision Rules Revisited with Applications to POS Tagging | 1 |
| 17 | Maschinelle Sprachverarbeitung Der statistische Ansatz bei Spracherkennung und Sprachübersetzung. | 0 |
| 18 | Statistische Auswahl von Wortabhängigkeiten in der automatischen Spracherkennung | 2 |
| 19 | A mixture density based approach to object recognition for image retrieval | 11 |
| 20 | Classification of radiographs in the 'image retrieval in medical applications' - system (IRMA) | 9 |
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.