Simon Razniewski
- Artificial Intelligence top 5%
- Topic Modeling 30
- Natural Language Processing Techniques 19
- Semantic Web and Ontologies 18
- Advanced Graph Neural Networks 9
- Logic, Reasoning, and Knowledge 6
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- Data Quality and Management 16
- Information Systems top 10%
- Web Data Mining and Analysis 7
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- Advanced Database Systems and Queries 10
- Co-authors
- Werner NuttGerhard WeikumFabian M. SuchanekXin DongAparna S. VardeNiket TandonFlip KornParamita Mirza
- Journals
- Proceedings of the VLDB Endowment (3 papers)Transactions of the Association for Computational Linguistics (1 paper)Journal of Web Semantics (1 paper)
- Partner nations
- GermanyItalyUnited States
In The Last Decade
Simon Razniewski
48 papers receiving 290 citations
Peers
Comparison fields: 5 of 43
- Artificial Intelligence 237
- Management Science and Operations Research 90
- Communication 21
- Information Systems 62
- Signal Processing 22
Countries citing papers authored by Simon Razniewski
This map shows the geographic impact of Simon Razniewski'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 Simon Razniewski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Simon Razniewski more than expected).
Fields of papers citing papers by Simon Razniewski
This network shows the impact of papers produced by Simon Razniewski. 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 Simon Razniewski. The network helps show where Simon Razniewski may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Simon Razniewski, 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 | 2025 | 0 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 2 | |
| 4 | 2023 | 2 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 14 | |
| 8 | 2023 | 0 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 6 | |
| 13 | 2020 | 3 | |
| 14 | 2020 | 44 | |
| 15 | 2019 | 4 | |
| 16 | 2018 | 13 | |
| 17 | COOL-WD: A Completeness Tool for Wikidata. | 2017 | 4 |
| 18 | Expanding Wikidata's Parenthood Information by 178%, or How To Mine Relation Cardinality Information. | 2016 | 2 |
| 19 | Bridging the semantic gap between RDF and SPARQL using completeness statements | 2014 | 4 |
| 20 | Databases under the Partial Closed-world Assumption: A Survey. | 2014 | 1 |
About Simon Razniewski
Simon Razniewski is a scholar working on Artificial Intelligence, Management Science and Operations Research, Communication, Information Systems and Computer Networks and Communications, having authored 54 papers that have together received 298 indexed citations. Recurring topics across this work include Topic Modeling (30 papers), Natural Language Processing Techniques (19 papers), Semantic Web and Ontologies (18 papers), Data Quality and Management (16 papers), Advanced Database Systems and Queries (10 papers), Advanced Graph Neural Networks (9 papers), Web Data Mining and Analysis (7 papers) and Logic, Reasoning, and Knowledge (6 papers). The work is most often cited by research in Artificial Intelligence (237 citations), Management Science and Operations Research (90 citations), Communication (21 citations), Information Systems (62 citations) and Signal Processing (22 citations). Simon Razniewski has collaborated with scholars based in Germany, Italy and United States. Frequent co-authors include Werner Nutt, Gerhard Weikum, Fabian M. Suchanek, Xin Dong, Aparna S. Varde, Niket Tandon, Flip Korn, Paramita Mirza, Divesh Srivastava and Jeff Z. Pan. Their work appears in journals such as Proceedings of the VLDB Endowment, Transactions of the Association for Computational Linguistics, Journal of Web Semantics, ACM Transactions on the Web and ACM Computing Surveys.
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.