Iryna Gurevych
- Artificial Intelligence top 0.02%
- Information Systems top 0.1%
- Computer Vision and Pattern Recognition top 0.5%
- Sociology and Political Science top 2%
- Communication top 0.5%
- Co-authors
- Nils ReimersTorsten ZeschChristian StabNiklas JakobIvan HabernalRichard Eckart de CastilhoChristof MüllerChris Biemann
- Topics
- Topic Modeling (255 papers)Natural Language Processing Techniques (234 papers)Advanced Text Analysis Techniques (66 papers)
- Journals
- IEEE Transactions on Information TheoryInformation Systems ResearchJournal of Service Research
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Iryna Gurevych
351 papers receiving 11.4k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Artificial Intelligence 10.0k
- Information Systems 2.5k
- Computer Vision and Pattern Recognition 1.6k
- Sociology and Political Science 897
- Communication 620
Countries citing papers authored by Iryna Gurevych
This map shows the geographic impact of Iryna Gurevych'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 Iryna Gurevych with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iryna Gurevych more than expected).
Fields of papers citing papers by Iryna Gurevych
This network shows the impact of papers produced by Iryna Gurevych. 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 Iryna Gurevych. The network helps show where Iryna Gurevych may publish in the future.
Co-authorship network of co-authors of Iryna Gurevych
This figure shows the co-authorship network connecting the top 25 collaborators of Iryna Gurevych. A scholar is included among the top collaborators of Iryna Gurevych 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 Iryna Gurevych. Iryna Gurevych is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 4 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 12 | |
| 12 | 0 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 34 | |
| 17 | 60 | |
| 18 | 51 | |
| 19 | 37 | |
| 20 | LRTwiki: Enriching the Likelihood Ratio Test with Encyclopedic Information for the Extraction of Relevant Terms | 1 |
About Iryna Gurevych
Iryna Gurevych is a scholar working on Artificial Intelligence, Communication and Information Systems, having authored 393 papers that have together received 12.4k indexed citations. Recurring topics across this work include Topic Modeling (255 papers), Natural Language Processing Techniques (234 papers) and Advanced Text Analysis Techniques (66 papers). The work is most often cited by research in Artificial Intelligence (10.0k citations), Information Systems (2.5k citations) and Communication (620 citations). Iryna Gurevych has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Nils Reimers, Torsten Zesch, Christian Stab, Niklas Jakob, Ivan Habernal, Richard Eckart de Castilho, Christof Müller, Chris Biemann, Tristan Miller and Benno Stein. Their work appears in journals such as IEEE Transactions on Information Theory, Information Systems Research and Journal of Service Research.
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.