Sebastian Hellmann
About
In The Last Decade
Sebastian Hellmann
44 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Artificial Intelligence 3.2k
- Information Systems 1.1k
- Management Science and Operations Research 773
- Molecular Biology 519
- Computer Networks and Communications 415
Countries citing papers authored by Sebastian Hellmann
This map shows the geographic impact of Sebastian Hellmann'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 Sebastian Hellmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Hellmann more than expected).
Fields of papers citing papers by Sebastian Hellmann
This network shows the impact of papers produced by Sebastian Hellmann. 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 Sebastian Hellmann. The network helps show where Sebastian Hellmann may publish in the future.
Co-authorship network of co-authors of Sebastian Hellmann
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Hellmann. A scholar is included among the top collaborators of Sebastian Hellmann 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 Sebastian Hellmann. Sebastian Hellmann is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 5 | |
| 3 | 2 | |
| 4 | Towards a Systematic Approach to Sync Factual Data across Wikipedia, Wikidata and External Data Sources. | 1 |
| 5 | 2 | |
| 6 | 4 | |
| 7 | 37 | |
| 8 | DBpedia Abstracts: A Large-Scale, Open, Multilingual NLP Training Corpus. | 9 |
| 9 | DBpedia mappings quality assessment | 2 |
| 10 | FREME: Multilingual Semantic Enrichment with Linked Data and Language Technologies. | 0 |
| 11 | 3 | |
| 12 | DBpedia – A large-scale, multilingual knowledge base extracted from Wikipedia breakdown → | 1616 |
| 13 | Nmbox$^3$ - A Collection of Datasets for Named Entity Recognition and Disambiguation in the NLP Interchange Format | 31 |
| 14 | NIF4OGGD - NLP Interchange Format for Open German Governmental Data | 1 |
| 15 | 127 | |
| 16 | DBpedia Viewer - An Integrative Interface for DBpedia Leveraging the DBpedia Service Eco System | 7 |
| 17 | 25 | |
| 18 | 25 | |
| 19 | The TIGER Corpus Navigator | 6 |
| 20 | 178 |
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.