Iryna Gurevych

26.0k total citations · 1 hit paper
393 papers, 12.4k citations indexed

About

Iryna Gurevych is a scholar working on Artificial Intelligence, Information Systems and Communication. According to data from OpenAlex, Iryna Gurevych has authored 393 papers receiving a total of 12.4k indexed citations (citations by other indexed papers that have themselves been cited), including 344 papers in Artificial Intelligence, 62 papers in Information Systems and 32 papers in Communication. Recurrent topics in Iryna Gurevych's work include Topic Modeling (255 papers), Natural Language Processing Techniques (234 papers) and Advanced Text Analysis Techniques (66 papers). Iryna Gurevych is often cited by papers focused on Topic Modeling (255 papers), Natural Language Processing Techniques (234 papers) and Advanced Text Analysis Techniques (66 papers). Iryna Gurevych collaborates with scholars based in Germany, United States and United Kingdom. Iryna Gurevych's 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 and has published in prestigious journals such as IEEE Transactions on Information Theory, Information Systems Research and Journal of Service Research.

In The Last Decade

Iryna Gurevych

351 papers receiving 11.4k citations

Hit Papers

Sentence-BERT: Sentence Embeddings using Siamese BERT-Net... 2019 2026 2021 2023 2019 1000 2.0k 3.0k 4.0k 5.0k

Peers

Iryna Gurevych
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
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Citations per field, relative to Iryna Gurevych
Iryna Gurevych · 1×
Citations per year, relative to Iryna Gurevych
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Countries citing papers authored by Iryna Gurevych

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
# 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

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.

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