Juri Ganitkevitch

7 papers and 409 indexed citations i.

About

Juri Ganitkevitch is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Juri Ganitkevitch has authored 7 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Juri Ganitkevitch’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Text Readability and Simplification (3 papers). Juri Ganitkevitch is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (7 papers) and Text Readability and Simplification (3 papers). Juri Ganitkevitch collaborates with scholars based in United States, Spain and Germany. Juri Ganitkevitch's co-authors include Chris Callison-Burch, Benjamin Van Durme, Saša Hasan, Hermann Ney, Franz Josef Och, Jonathan Weese, Jakob Uszkoreit, David Talbot, Ashish Venugopal and Yuan Cao and has published in prestigious journals such as Language Resources and Evaluation, RWTH Publications (RWTH Aachen) and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Juri Ganitkevitch i

Fields of papers citing papers by Juri Ganitkevitch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Juri Ganitkevitch

Since Specialization
Citations

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

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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