Melanie Siegel
- Artificial Intelligence top 5%
- Management, Monitoring, Policy and Law top 5%
- Computational Mechanics top 10%
- Information Systems top 10%
- Language and Linguistics top 10%
- Co-authors
- Michael WiegandJosef RuppenhoferEmily M. BenderStuart B. SavageKolumban HutterUlrich SchäferStefania RacioppaDan Flickinger
- Topics
- Natural Language Processing Techniques (20 papers)Topic Modeling (15 papers)Speech and dialogue systems (8 papers)
- Partner nations
- GermanyUnited StatesJapan
In The Last Decade
Melanie Siegel
29 papers receiving 452 citations
Peers
Comparison fields: 5 of 70
- Artificial Intelligence 402
- Management, Monitoring, Policy and Law 88
- Computational Mechanics 72
- Information Systems 61
- Language and Linguistics 51
Countries citing papers authored by Melanie Siegel
This map shows the geographic impact of Melanie Siegel'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 Melanie Siegel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Melanie Siegel more than expected).
Fields of papers citing papers by Melanie Siegel
This network shows the impact of papers produced by Melanie Siegel. 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 Melanie Siegel. The network helps show where Melanie Siegel may publish in the future.
Co-authorship network of co-authors of Melanie Siegel
This figure shows the co-authorship network connecting the top 25 collaborators of Melanie Siegel. A scholar is included among the top collaborators of Melanie Siegel 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 Melanie Siegel. Melanie Siegel 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 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | Using Automatic Machine Translation Metrics to Analyze the Impact of Source Reformulations. | 6 |
| 11 | Ontology-based Information Extraction with SOBA | 33 |
| 12 | Customizing GermaNet for the Use in Deep Linguistic Processing | 0 |
| 13 | Annotating Honorifics Denoting Social Ranking of Referents | 4 |
| 14 | The DeepThought Core Architecture Framework | 28 |
| 15 | 65 | |
| 16 | 31 | |
| 17 | 6 | |
| 18 | 2 | |
| 19 | Preferences and Defaults for Definiteness and Number in Japanese to German Machine Translation | 4 |
| 20 | 7 |
About Melanie Siegel
Melanie Siegel is a scholar working on Artificial Intelligence, Language and Linguistics and Communication, having authored 39 papers that have together received 537 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (20 papers), Topic Modeling (15 papers) and Speech and dialogue systems (8 papers). The work is most often cited by research in Artificial Intelligence (402 citations), Management, Monitoring, Policy and Law (88 citations) and Communication (43 citations). Melanie Siegel has collaborated with scholars based in Germany, United States and Japan. Frequent co-authors include Michael Wiegand, Josef Ruppenhofer, Emily M. Bender, Stuart B. Savage, Kolumban Hutter, Ulrich Schäfer, Stefania Racioppa, Dan Flickinger, Paul Buitelaar and Philipp Cimiano. Their work appears in journals such as Radiology, American Journal of Roentgenology and Acta Mechanica.
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.