Samuel Broscheit
Impact in
- Artificial Intelligence top 5%
- Advanced Graph Neural Networks
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
Papers in
-
- Topic Modeling 6
- Natural Language Processing Techniques 5
- Advanced Graph Neural Networks 4
- Logic, Reasoning, and Knowledge 1
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Rainer Gemulla (5 shared papers)Daniel Ruffinelli (3 shared papers)Yanjie Wang (2 shared papers)Kiril Gashteovski (2 shared papers)Simone Paolo Ponzetto (3 shared papers)Yannick Versley (2 shared papers)Christian Meilicke (1 shared paper)Massimo Poesio (2 shared papers)
- Journals
- Theory and applications of categories (3 papers)Language Resources and Evaluation (1 paper)Nature Machine Intelligence (1 paper)International Joint Conference on Artificial Intelligence (1 paper)Empirical Methods in Natural Language Processing (1 paper)
- Partner nations
- GermanyItalyUnited Kingdom
In The Last Decade
Samuel Broscheit
16 papers receiving 334 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 299
- General Social Sciences 5
- Space and Planetary Science 1
- Information Systems 19
- Management Science and Operations Research 11
Countries citing papers authored by Samuel Broscheit
This map shows the geographic impact of Samuel Broscheit'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 Samuel Broscheit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Broscheit more than expected).
Fields of papers citing papers by Samuel Broscheit
This network shows the impact of papers produced by Samuel Broscheit. 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 Samuel Broscheit. The network helps show where Samuel Broscheit may publish in the future.
Co-authors
The 25 scholars most cited alongside Samuel Broscheit, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | You CAN Teach an Old Dog New Tricks! On Training Knowledge Graph Embeddings | 2020 | 67 |
| 2 | 2019 | 58 | |
| 3 | 2020 | 54 | |
| 4 | BART: A Multilingual Anaphora Resolution System | 2010 | 31 |
| 5 | 2019 | 29 | |
| 6 | 2020 | 21 | |
| 7 | A Multigraph Model for Coreference Resolution | 2012 | 17 |
| 8 | 2019 | 15 | |
| 9 | 2023 | 13 | |
| 10 | Rapid Bootstrapping of Word Sense Disambiguation Resources for German | 2010 | 10 |
| 11 | 2010 | 9 | |
| 12 | 2021 | 7 | |
| 13 | 2022 | 7 | |
| 14 | 2018 | 6 | |
| 15 | OpenIE for Slot Filling at TAC KBP 2017 - System Description. | 2017 | 5 |
| 16 | SUMMA at TAC Knowledge Base Population Task 2017. | 2017 | 3 |
| 17 | 2016 | 1 |
About Samuel Broscheit
Samuel Broscheit is a scholar working on Artificial Intelligence, Communication, Management Science and Operations Research, Computer Vision and Pattern Recognition and Information Systems, having authored 17 papers that have together received 353 indexed citations. Recurring topics across this work include Topic Modeling (6 papers), Natural Language Processing Techniques (5 papers), Advanced Graph Neural Networks (4 papers), Logic, Reasoning, and Knowledge (1 paper), Information Retrieval and Search Behavior (1 paper), Domain Adaptation and Few-Shot Learning (1 paper), Handwritten Text Recognition Techniques (1 paper) and Stock Market Forecasting Methods (1 paper). The work is most often cited by research in Artificial Intelligence (299 citations), General Social Sciences (5 citations), Space and Planetary Science (1 citation), Information Systems (19 citations) and Management Science and Operations Research (11 citations). Samuel Broscheit has collaborated with scholars based in Germany, Italy and United Kingdom. Frequent co-authors include Rainer Gemulla, Daniel Ruffinelli, Yanjie Wang, Kiril Gashteovski, Simone Paolo Ponzetto, Yannick Versley, Christian Meilicke, Massimo Poesio, Heiner Stuckenschmidt and Lorenza Romano. Their work appears in journals such as Theory and applications of categories, Language Resources and Evaluation, Nature Machine Intelligence, International Joint Conference on Artificial Intelligence and Empirical Methods in Natural Language Processing.
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.