Stephan Vogel
About
In The Last Decade
Stephan Vogel
204 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Artificial Intelligence 3.3k
- Statistics and Probability 772
- Developmental and Educational Psychology 532
- Cognitive Neuroscience 515
- Education 476
Countries citing papers authored by Stephan Vogel
This map shows the geographic impact of Stephan Vogel'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 Stephan Vogel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephan Vogel more than expected).
Fields of papers citing papers by Stephan Vogel
This network shows the impact of papers produced by Stephan Vogel. 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 Stephan Vogel. The network helps show where Stephan Vogel may publish in the future.
Co-authorship network of co-authors of Stephan Vogel
This figure shows the co-authorship network connecting the top 25 collaborators of Stephan Vogel. A scholar is included among the top collaborators of Stephan Vogel 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 Stephan Vogel. Stephan Vogel 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 | 10 | |
| 3 | The WAW Corpus: The First Corpus of Interpreted Speeches and their Translations for English and Arabic | 1 |
| 4 | Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder | 26 |
| 5 | Applying the cognitive machine translation evaluation approach to Arabic | 2 |
| 6 | Advances in dialectal Arabic speech recognition: a study using Twitter to improve Egyptian ASR. | 19 |
| 7 | Parameter Optimization for Statistical Machine Translation: It Pays to Learn from Hard Examples | 1 |
| 8 | MT Quality Estimation: The CMU System for WMT'13 | 5 |
| 9 | Optimizing for Sentence-Level BLEU+1 Yields Short Translations | 40 |
| 10 | Utilizing Target-Side Semantic Role Labels to Assist Hierarchical Phrase-based Machine Translation | 8 |
| 11 | CMU Haitian Creole-English Translation System for WMT 2011 | 4 |
| 12 | Extending a probabilistic phrase alignment approach for SMT. | 2 |
| 13 | Dealing with Spurious Ambiguity in Learning ITG-based Word Alignment | 1 |
| 14 | Fixed Length Word Suffix for Factored Statistical Machine Translation | 7 |
| 15 | New Parameterizations and Features for PSCFG-Based Machine Translation | 2 |
| 16 | Active Learning-Based Elicitation for Semi-Supervised Word Alignment | 2 |
| 17 | Can Crowds Build parallel corpora for Machine Translation Systems | 44 |
| 18 | The CMU-UKA syntax augmented machine translation system for IWSLT-06. | 12 |
| 19 | Clustering and classifying person names by origin | 6 |
| 20 | Augmenting Manual Dictionaries for Statistical Machine Translation Systems | 4 |
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.