Juri Opitz
Impact in
- Artificial Intelligence top 10%
- Natural Language Processing Techniques
- Topic Modeling
- Sentiment Analysis and Opinion Mining
- Multi-Agent Systems and Negotiation
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
- Philosophy top 10%
- Linguistics and Discourse Analysis
Papers in
-
- Natural Language Processing Techniques 19
- Topic Modeling 13
- Sentiment Analysis and Opinion Mining 3
- Multi-Agent Systems and Negotiation 3
- Imbalanced Data Classification Techniques 2
- Text and Document Classification Technologies 2
-
- Linguistics and Discourse Analysis 5
- Co-authors
- Anette Frank (19 shared papers)Ana Marasović (1 shared paper)Graeme Hirst (2 shared papers)Steffen Eger (1 shared paper)Vivi Năstase (3 shared papers)Rotem Dror (1 shared paper)Yang Gao (1 shared paper)Philipp Cimiano (3 shared papers)
- Journals
- Transactions of the Association for Computational Linguistics (3 papers)Computational Linguistics (1 paper)Lecture notes in computer science (2 papers)Online (1 paper)Frontiers in artificial intelligence and applications (1 paper)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Juri Opitz
30 papers receiving 213 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 178
- Philosophy 35
- Literature and Literary Theory 10
- Structural Biology 1
- Health Informatics 1
Countries citing papers authored by Juri Opitz
This map shows the geographic impact of Juri Opitz'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 Juri Opitz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juri Opitz more than expected).
Fields of papers citing papers by Juri Opitz
This network shows the impact of papers produced by Juri Opitz. 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 Juri Opitz. The network helps show where Juri Opitz may publish in the future.
Co-authors
The 25 scholars most cited alongside Juri Opitz, 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 48 | |
| 2 | 2019 | 21 | |
| 3 | 2017 | 20 | |
| 4 | 2020 | 15 | |
| 5 | 2020 | 15 | |
| 6 | 2021 | 14 | |
| 7 | 2021 | 13 | |
| 8 | 2022 | 10 | |
| 9 | 2023 | 10 | |
| 10 | Addressing the Winograd Schema Challenge as a Sequence Ranking Task | 2018 | 9 |
| 11 | 2021 | 9 | |
| 12 | 2020 | 6 | |
| 13 | 2024 | 5 | |
| 14 | Induction of a Large-Scale Knowledge Graph from the Regesta Imperii. | 2018 | 4 |
| 15 | 2023 | 4 | |
| 16 | 2016 | 3 | |
| 17 | Towards explaining natural language arguments with background knowledge | 2019 | 3 |
| 18 | 2021 | 3 | |
| 19 | 2019 | 2 | |
| 20 | 2022 | 2 |
About Juri Opitz
Juri Opitz is a scholar working on Artificial Intelligence, Philosophy, Literature and Literary Theory, Language and Linguistics and General Social Sciences, having authored 34 papers that have together received 229 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (19 papers), Topic Modeling (13 papers), Digital Humanities and Scholarship (5 papers), Linguistics and Discourse Analysis (5 papers), Sentiment Analysis and Opinion Mining (3 papers), Multi-Agent Systems and Negotiation (3 papers), Imbalanced Data Classification Techniques (2 papers) and Text and Document Classification Technologies (2 papers). The work is most often cited by research in Artificial Intelligence (178 citations), Philosophy (35 citations), Literature and Literary Theory (10 citations), Structural Biology (1 citation) and Health Informatics (1 citation). Juri Opitz has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Anette Frank, Ana Marasović, Graeme Hirst, Steffen Eger, Vivi Năstase, Rotem Dror, Yang Gao, Philipp Cimiano, Daniel Deutsch and Simon Clematide. Their work appears in journals such as Transactions of the Association for Computational Linguistics, Computational Linguistics, Lecture notes in computer science, Online and Frontiers in artificial intelligence and applications.
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.