Sophia Katrenko

900 total citations
19 papers, 156 citations indexed

About

Sophia Katrenko is a scholar working on Artificial Intelligence, Molecular Biology and Information Systems. According to data from OpenAlex, Sophia Katrenko has authored 19 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 7 papers in Molecular Biology and 1 paper in Information Systems. Recurrent topics in Sophia Katrenko's work include Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers) and Biomedical Text Mining and Ontologies (6 papers). Sophia Katrenko is often cited by papers focused on Natural Language Processing Techniques (12 papers), Topic Modeling (11 papers) and Biomedical Text Mining and Ontologies (6 papers). Sophia Katrenko collaborates with scholars based in Netherlands, United Kingdom and Ukraine. Sophia Katrenko's co-authors include P.M.A. Sloot, Pieter Adriaans, Edgar Meij, Marco Roos, Martijn J. Schuemie, Willem Robert van Hage, Michael S. Marshall, Konstantinos F. Krommydas, Tim Van de Cruys and Маршалл and has published in prestigious journals such as Bioinformatics, BMC Bioinformatics and Lecture notes in computer science.

In The Last Decade

Sophia Katrenko

18 papers receiving 141 citations

Peers

Sophia Katrenko
Comparison fields: 5 of 39
  • Molecular Biology 108
  • Artificial Intelligence 95
  • Information Systems 13
  • Computational Theory and Mathematics 8
  • Genetics 8
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Citations per field, relative to Sophia Katrenko
Sophia Katrenko · 1×
Citations per year, relative to Sophia Katrenko
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Countries citing papers authored by Sophia Katrenko

Since Specialization
Citations

This map shows the geographic impact of Sophia Katrenko'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 Sophia Katrenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sophia Katrenko more than expected).

Fields of papers citing papers by Sophia Katrenko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sophia Katrenko. 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 Sophia Katrenko. The network helps show where Sophia Katrenko may publish in the future.

Co-authorship network of co-authors of Sophia Katrenko

This figure shows the co-authorship network connecting the top 25 collaborators of Sophia Katrenko. A scholar is included among the top collaborators of Sophia Katrenko 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 Sophia Katrenko. Sophia Katrenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
# Work Indexed citations
1 3
2 3
3 1
4
Semantic Annotation of Textual Entailment
2
5
Finding constraints for semantic relations via clustering
0
6 77
7 27
8
A closer look at learning relations from text
7
9 3
10
Qualia structures and their impact on the concrete noun categorization task
2
11 8
12
Using Semi-Supervised Techniques to Detect Gene Mentions
1
13
Bootstrapping Language Associated with Biomedical Entities
4
14 2
15
Automatically Extending the Lexicon for Parsing
6
16
Proceedings of the Eleventh ESSLLI Student Session
1
17
Using Maximal Embedded Syntactic Subtrees for Textual Entailment Recognition
4
18
Learning Biological Interactions from Medline Abstracts
3
19 2

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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