Agnieszka Faleńska

6 papers and 29 indexed citations i.

About

Agnieszka Faleńska is a scholar working on Artificial Intelligence, Materials Chemistry and Communication. According to data from OpenAlex, Agnieszka Faleńska has authored 6 papers receiving a total of 29 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Materials Chemistry and 1 paper in Communication. Recurrent topics in Agnieszka Faleńska’s work include Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Text Readability and Simplification (1 paper). Agnieszka Faleńska is often cited by papers focused on Natural Language Processing Techniques (4 papers), Topic Modeling (3 papers) and Text Readability and Simplification (1 paper). Agnieszka Faleńska collaborates with scholars based in Germany. Agnieszka Faleńska's co-authors include Jonas Kuhn, Yu Xiang, Ngoc Thang Vu, Wolfgang Seeker, Anders Björkelund, Markus Gärtner, Antje Schweitzer, Arndt Riester and Raphael H. Heiberger and has published in prestigious journals such as Political Analysis, Language Resources and Evaluation and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Co-authorship network of co-authors of Agnieszka Faleńska i

Fields of papers citing papers by Agnieszka Faleńska

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Agnieszka Faleńska

Since Specialization
Citations

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

Explore authors with similar magnitude of impact

Rankless by CCL
2025