Agata Savary

125 total papers · 784 total citations
24 papers, 84 citations indexed

About

Agata Savary is a scholar working on Artificial Intelligence, Computer Networks and Communications and Language and Linguistics. According to data from OpenAlex, Agata Savary has authored 24 papers receiving a total of 84 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Language and Linguistics. Recurrent topics in Agata Savary's work include Natural Language Processing Techniques (17 papers), Topic Modeling (7 papers) and Semantic Web and Ontologies (6 papers). Agata Savary is often cited by papers focused on Natural Language Processing Techniques (17 papers), Topic Modeling (7 papers) and Semantic Web and Ontologies (6 papers). Agata Savary collaborates with scholars based in France, Poland and Sweden. Agata Savary's co-authors include Andreas Maletti, Carlos Ramisch, Adam Przepiórkowski, Cvetana Krstev, Maciej Ogrodniczuk, Mateusz Kopeć, Denis Maurel, Verginica Barbu Mititelu, Joakim Nivre and Jean-Yves Antoine and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Computer Journal and Language Resources and Evaluation.

In The Last Decade

Agata Savary

23 papers receiving 73 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Agata Savary 76 11 7 6 6 24 84
Radosław Katarzyniak 86 1.1× 7 0.6× 8 1.1× 13 2.2× 2 0.3× 32 113
Isabelle Tellier 56 0.7× 5 0.5× 6 0.9× 31 5.2× 5 0.8× 22 90
Brigitte Endres‐Niggemeyer 118 1.6× 7 0.6× 4 0.6× 36 6.0× 7 1.2× 23 147
Elisabeth Maier 202 2.7× 11 1.0× 8 1.1× 28 4.7× 9 1.5× 32 244
Sven Hartrumpf 102 1.3× 5 0.5× 2 0.3× 16 2.7× 16 2.7× 25 114
Dagmar Gromann 87 1.1× 18 1.6× 5 0.7× 7 1.2× 1 0.2× 26 111
Krasimir Angelov 81 1.1× 5 0.5× 5 0.7× 14 2.3× 2 0.3× 21 103
Marius Mosbach 72 0.9× 4 0.4× 5 0.7× 10 1.7× 5 0.8× 14 96
John Niekrasz 179 2.4× 10 0.9× 3 0.4× 14 2.3× 10 1.7× 21 214
Eric Joanis 202 2.7× 4 0.4× 6 0.9× 12 2.0× 7 1.2× 15 214

Countries citing papers authored by Agata Savary

Since Specialization
Citations

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

Fields of papers citing papers by Agata Savary

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agata Savary

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

All Works

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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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