Senja Pollak

159 total papers · 1.1k total citations
54 papers, 307 citations indexed

About

Senja Pollak is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Senja Pollak has authored 54 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Artificial Intelligence, 9 papers in Molecular Biology and 7 papers in Language and Linguistics. Recurrent topics in Senja Pollak’s work include Natural Language Processing Techniques (27 papers), Topic Modeling (21 papers) and Biomedical Text Mining and Ontologies (8 papers). Senja Pollak is often cited by papers focused on Natural Language Processing Techniques (27 papers), Topic Modeling (21 papers) and Biomedical Text Mining and Ontologies (8 papers). Senja Pollak collaborates with scholars based in Slovenia, United Kingdom and Croatia. Senja Pollak's co-authors include Matej Martinc, Blaž Škrlj, Marko Robnik‐Šikonja, Nada Lavrač, Fasih Haider, Saturnino Luz, Walter Daelemans, Nikola Ljubešić, Dragana Miljković and Špela Vintar and has published in prestigious journals such as Neurocomputing, Machine Learning and Applied Sciences.

Co-authorship network of co-authors of Senja Pollak

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

Senja Pollak

46 papers receiving 274 citations

Fields of papers citing papers by Senja Pollak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Senja Pollak

Since Specialization
Citations

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