Aljoscha Burchardt
- Artificial Intelligence top 5%
- Language and Linguistics top 10%
- Molecular Biology
- Health Informatics top 5%
- Information Systems
- Co-authors
- Anette FrankKatrin ErkSebastian PadóMarco PennacchiottiStefan ThaterManfred PinkalVivien MacketanzRoland Roller
- Topics
- Natural Language Processing Techniques (14 papers)Topic Modeling (12 papers)Semantic Web and Ontologies (5 papers)
In The Last Decade
Aljoscha Burchardt
26 papers receiving 337 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 327
- Language and Linguistics 53
- Molecular Biology 24
- Health Informatics 23
- Information Systems 19
Countries citing papers authored by Aljoscha Burchardt
This map shows the geographic impact of Aljoscha Burchardt'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 Aljoscha Burchardt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aljoscha Burchardt more than expected).
Fields of papers citing papers by Aljoscha Burchardt
This network shows the impact of papers produced by Aljoscha Burchardt. 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 Aljoscha Burchardt. The network helps show where Aljoscha Burchardt may publish in the future.
Co-authorship network of co-authors of Aljoscha Burchardt
This figure shows the co-authorship network connecting the top 25 collaborators of Aljoscha Burchardt. A scholar is included among the top collaborators of Aljoscha Burchardt 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 Aljoscha Burchardt. Aljoscha Burchardt 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 4 | |
| 8 | 4 | |
| 9 | 15 | |
| 10 | 14 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | TQ-AutoTest - An Automated Test Suite for (Machine) Translation Quality. | 3 |
| 14 | 23 | |
| 15 | 13 | |
| 16 | FATE: a FrameNet-Annotated Corpus for Textual Entailment. | 13 |
| 17 | Formalising Multi-layer Corpora in OWL DL - Lexicon Modelling, Querying and Consistency Control. | 13 |
| 18 | 1 | |
| 19 | SALTO - A Versatile Multi-Level Annotation Tool | 46 |
| 20 | 116 |
About Aljoscha Burchardt
Aljoscha Burchardt is a scholar working on Health Informatics, Transplantation and Artificial Intelligence, having authored 27 papers that have together received 383 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Topic Modeling (12 papers) and Semantic Web and Ontologies (5 papers). The work is most often cited by research in Health Informatics (23 citations), Artificial Intelligence (327 citations) and Language and Linguistics (53 citations). Aljoscha Burchardt has collaborated with scholars based in Germany, Austria and Australia. Frequent co-authors include Anette Frank, Katrin Erk, Sebastian Padó, Marco Pennacchiotti, Stefan Thater, Manfred Pinkal, Vivien Macketanz, Roland Roller, Jindřich Helcl and Bilgin Osmanodja. Their work appears in journals such as PLoS ONE, BMJ Open and Frontiers in Public Health.
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.