Ulf Hermjakob
About
In The Last Decade
Ulf Hermjakob
34 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 58
- Artificial Intelligence 1.8k
- Information Systems 262
- Computer Vision and Pattern Recognition 192
- Molecular Biology 146
- Language and Linguistics 38
Countries citing papers authored by Ulf Hermjakob
This map shows the geographic impact of Ulf Hermjakob'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 Ulf Hermjakob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Hermjakob more than expected).
Fields of papers citing papers by Ulf Hermjakob
This network shows the impact of papers produced by Ulf Hermjakob. 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 Ulf Hermjakob. The network helps show where Ulf Hermjakob may publish in the future.
Co-authorship network of co-authors of Ulf Hermjakob
This figure shows the co-authorship network connecting the top 25 collaborators of Ulf Hermjakob. A scholar is included among the top collaborators of Ulf Hermjakob 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 Ulf Hermjakob. Ulf Hermjakob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | AMR Beyond the Sentence: the Multi-sentence AMR corpus | 22 |
| 2 | Abstract Meaning Representation of Constructions: The More We Include, the Better the Representation. | 6 |
| 3 | 11 | |
| 4 | 56 | |
| 5 | 54 | |
| 6 | Abstract Meaning Representation for Sembanking breakdown → | 640 |
| 7 | Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse | 86 |
| 8 | Overcoming Vocabulary Sparsity in MT Using Lattices | 7 |
| 9 | Name Translation in Statistical Machine Translation - Learning When to Transliterate | 80 |
| 10 | Multiple-Engine Question Answering in TextMap. | 28 |
| 11 | Using Knowledge to Facilitate Pinpointing of Factoid Answers | 8 |
| 12 | Natural Language Based Reformulation Resource and Wide Exploitation for Question Answering. | 37 |
| 13 | 24 | |
| 14 | The use of external knowledge in factoid QA | 76 |
| 15 | 112 | |
| 16 | Question Answering in Webclopedia. | 164 |
| 17 | Translating with Scarce Resources | 24 |
| 18 | Rapid parser development: a machine learning approach for Korean | 11 |
| 19 | 47 | |
| 20 | 16 |
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.