Senja Pollak

1.2k total citations
73 papers, 510 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 73 papers receiving a total of 510 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Artificial Intelligence, 10 papers in Molecular Biology and 9 papers in Language and Linguistics. Recurrent topics in Senja Pollak's work include Natural Language Processing Techniques (31 papers), Topic Modeling (26 papers) and Advanced Text Analysis Techniques (10 papers). Senja Pollak is often cited by papers focused on Natural Language Processing Techniques (31 papers), Topic Modeling (26 papers) and Advanced Text Analysis Techniques (10 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, Matthew Purver, Nikola Ljubešić, Špela Vintar and Dragana Miljković and has published in prestigious journals such as SHILAP Revista de lepidopterología, Neurocomputing and Machine Learning.

In The Last Decade

Senja Pollak

63 papers receiving 463 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Senja Pollak Slovenia	13	384	77	68	36	30	73	510
Aleksander Wawer Poland	9	234 0.6×	63 0.8×	54 0.8×	24 0.7×	14 0.5×	39	410
Helmut Horacek Germany	15	609 1.6×	79 1.0×	32 0.5×	25 0.7×	19 0.6×	73	742
Jan Šnajder Croatia	18	1.1k 2.7×	218 2.8×	70 1.0×	27 0.8×	29 1.0×	110	1.2k
Constantin Orǎsan United Kingdom	17	754 2.0×	111 1.4×	24 0.4×	13 0.4×	20 0.7×	82	825
Hrafn Loftsson Iceland	11	497 1.3×	58 0.8×	19 0.3×	55 1.5×	25 0.8×	39	641
Carolina Scarton United Kingdom	16	759 2.0×	66 0.9×	39 0.6×	11 0.3×	14 0.5×	70	830
Balázs Kis Sweden	5	341 0.9×	49 0.6×	26 0.4×	39 1.1×	12 0.4×	12	441
Stelios Piperidis Greece	12	576 1.5×	87 1.1×	20 0.3×	71 2.0×	24 0.8×	51	775
Harris Papageorgiou Greece	10	1.3k 3.4×	150 1.9×	43 0.6×	32 0.9×	43 1.4×	22	1.4k
Annie Louis United States	16	960 2.5×	128 1.7×	32 0.5×	20 0.6×	11 0.4×	53	1.1k

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).

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.

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.

All Works

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20 of 20 papers shown

Martinc, Matej, et al.. (2024). Textflows: an open science NLP evaluation approach. Language Resources and Evaluation. 59(4). 4439–4468.

Ichev, Riste, et al.. (2024). Textual analysis of corporate sustainability reporting and corporate ESG scores. International Review of Financial Analysis. 96. 103669–103669. 15 indexed citations

Pollak, Senja, et al.. (2024). DeBERTa Beats Behemoths: A Comparative Analysis of Fine-Tuning, Prompting, and PEFT Approaches on LegalLensNER. 371–380. 2 indexed citations

Purver, Matthew, et al.. (2022). Knowledge informed sustainability detection from short financial texts. 228–234. 2 indexed citations

Shekhar, Ravi, et al.. (2021). Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection. Queen Mary Research Online (Queen Mary University of London). 30–34. 6 indexed citations

Škrlj, Blaž, Matej Martinc, Nada Lavrač, & Senja Pollak. (2021). autoBOT: evolving neuro-symbolic representations for explainable low resource text classification. Machine Learning. 110(5). 989–1028. 18 indexed citations

Lavrač, Nada, Matej Martinc, Senja Pollak, & Bojan Cestnik. (2020). Bisociative Literature-Based Discovery: Lessons Learned and New Prospects.. ICCC. 139–145. 1 indexed citations

Martinc, Matej & Senja Pollak. (2018). Reusable workflows for gender prediction. Language Resources and Evaluation. 2 indexed citations

Lavrač, Nada, et al.. (2018). Napovedovanje spola slovenskih blogerk in blogerjev. 1 indexed citations

10.

Žnidaršič, Martin, et al.. (2018). BISLON: BISociative SLOgaN generation based on stylistic literary devices.. ICCC. 248–255. 2 indexed citations

11.

Martinc, Matej, Blaž Škrlj, & Senja Pollak. (2018). Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018.. CLEF (Working Notes). 3 indexed citations

12.

Fišer, Darja, Tomaž Erjavec, Nikola Ljubešić, et al.. (2018). Viri, orodja in metode za analizo spletne slovenščine. 2 indexed citations

13.

Pollak, Senja, et al.. (2018). Kolokacije v korpusu Šolar. Jezik in slovstvo. 63(2-3). 117–128. 1 indexed citations

14.

Martinc, Matej, et al.. (2017). PAN 2017: Author Profiling - Gender and Language Variety Prediction.. CLEF (Working Notes). 15 indexed citations

15.

Martins, Pedro, Senja Pollak, Tanja Urbančič, & Amílcar Cardoso. (2016). Optimality Principles in Computational Approaches to Conceptual Blending: Do We Need Them (at) All?. ICCC. 346–353. 4 indexed citations

16.

Martins, Pedro, Tanja Urbančič, Senja Pollak, Nada Lavrač, & Amílcar Cardoso. (2015). The Good, the Bad, and the AHA! Blends.. ICCC. 166–173. 5 indexed citations

17.

Podpečan, Vid, Tomaž Erjavec, Senja Pollak, et al.. (2015). Text mining platform for NLP workflow design, replication and reuse. Lirias (KU Leuven). 2 indexed citations

18.

Sluban, Borut, et al.. (2012). Irregularity Detection in Categorized Document Corpora. Language Resources and Evaluation. 1598–1603. 1 indexed citations

19.

Fišer, Darja, Nikola Ljubešić, Špela Vintar, & Senja Pollak. (2011). Building and Using Comparable Corpora for Domain-Specific Bilingual Lexicon Extraction. Meeting of the Association for Computational Linguistics. 26(13). 19–26. 10 indexed citations

20.

Fišer, Darja, Senja Pollak, & Špela Vintar. (2010). Learning to Mine Definitions from Slovene Structured and Unstructured Knowledge-Rich Resources. Language Resources and Evaluation. 5 indexed citations

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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