Simon Razniewski
Impact in
-
- Data Quality and Management
- Artificial Intelligence top 5%
- Topic Modeling
- Semantic Web and Ontologies
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Logic, Reasoning, and Knowledge
Papers in
-
- Topic Modeling 36
- Semantic Web and Ontologies 25
- Natural Language Processing Techniques 23
- Advanced Graph Neural Networks 11
- Logic, Reasoning, and Knowledge 7
-
- Data Quality and Management 20
- Co-authors
- Werner Nutt (24 shared papers)Gerhard Weikum (27 shared papers)Fabian M. Suchanek (3 shared papers)Paramita Mirza (6 shared papers)Aparna S. Varde (3 shared papers)Giuseppe Pirrò (2 shared papers)Niket Tandon (1 shared paper)Divesh Srivastava (1 shared paper)
In The Last Decade
Simon Razniewski
62 papers receiving 499 citations
Peers
Comparison fields: 5 of 56
- Management Science and Operations Research 159
- Artificial Intelligence 417
- Information Systems 115
- Communication 32
- Signal Processing 36
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-authors
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
Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 65 | |
| 2 | 2011 | 37 | |
| 3 | 2018 | 34 | |
| 4 | 2017 | 31 | |
| 5 | 2013 | 27 | |
| 6 | 2015 | 26 | |
| 7 | 2021 | 20 | |
| 8 | 2023 | 18 | |
| 9 | 2018 | 16 | |
| 10 | 2016 | 16 | |
| 11 | Managing and Consuming Completeness Information for Wikidata Using COOL-WD. | 2016 | 13 |
| 12 | 2021 | 12 | |
| 13 | 2017 | 12 | |
| 14 | 2017 | 10 | |
| 15 | 2018 | 10 | |
| 16 | 2011 | 9 | |
| 17 | 2017 | 9 | |
| 18 | 2016 | 8 | |
| 19 | 2021 | 8 | |
| 20 | 2019 | 8 |
About Simon Razniewski
Simon Razniewski is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Computer Networks and Communications and Computer Vision and Pattern Recognition, having authored 68 papers that have together received 517 indexed citations. Recurring topics across this work include Topic Modeling (36 papers), Semantic Web and Ontologies (25 papers), Natural Language Processing Techniques (23 papers), Data Quality and Management (20 papers), Advanced Database Systems and Queries (14 papers), Advanced Graph Neural Networks (11 papers), Web Data Mining and Analysis (8 papers) and Logic, Reasoning, and Knowledge (7 papers). The work is most often cited by research in Management Science and Operations Research (159 citations), Artificial Intelligence (417 citations), Information Systems (115 citations), Communication (32 citations) and Signal Processing (36 citations). Simon Razniewski has collaborated with scholars based in Germany, Italy and France. Frequent co-authors include Werner Nutt, Gerhard Weikum, Fabian M. Suchanek, Paramita Mirza, Aparna S. Varde, Giuseppe Pirrò, Niket Tandon, Divesh Srivastava, Flip Korn and Daria Stepanova. Their work appears in journals such as Proceedings of the VLDB Endowment, Lecture notes in computer science, Transactions of the Association for Computational Linguistics, Semantic Web and Journal of Web Semantics.
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.