Senja Pollak
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Text Readability and Simplification
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Hate Speech and Cyberbullying Detection
- Information Systems top 10%
- Spam and Phishing Detection
Papers in
-
- Natural Language Processing Techniques 31
- Topic Modeling 26
- Advanced Text Analysis Techniques 10
- Semantic Web and Ontologies 9
- Authorship Attribution and Profiling 8
- Text Readability and Simplification 7
- Hate Speech and Cyberbullying Detection 5
-
- Biomedical Text Mining and Ontologies 9
- Co-authors
- Matej Martinc (26 shared papers)Blaž Škrlj (14 shared papers)Marko Robnik‐Šikonja (9 shared papers)Nada Lavrač (17 shared papers)Fasih Haider (3 shared papers)Saturnino Luz (4 shared papers)Matthew Purver (9 shared papers)Nikola Ljubešić (6 shared papers)
- Journals
- Language Resources and Evaluation (6 papers)Machine Learning (2 papers)Terminology International Journal of Theoretical and Applied Issues in Specialized Communication (2 papers)PeerJ Computer Science (1 paper)Applied Sciences (1 paper)
- Partner nations
- SloveniaUnited KingdomCroatia
In The Last Decade
Senja Pollak
64 papers receiving 484 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 381
- Information Systems 77
- Experimental and Cognitive Psychology 37
- Signal Processing 31
- Language and Linguistics 27
Countries citing papers authored by Senja Pollak
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
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-authors
The 25 scholars most cited alongside Senja Pollak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 59 | |
| 2 | 2021 | 54 | |
| 3 | 2020 | 33 | |
| 4 | 2020 | 32 | |
| 5 | 2021 | 31 | |
| 6 | 2020 | 25 | |
| 7 | 2021 | 19 | |
| 8 | 2020 | 19 | |
| 9 | 2015 | 17 | |
| 10 | 2024 | 17 | |
| 11 | PAN 2017: Author Profiling - Gender and Language Variety Prediction. | 2017 | 15 |
| 12 | 2019 | 14 | |
| 13 | 2021 | 12 | |
| 14 | 2021 | 12 | |
| 15 | 2011 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2020 | 9 | |
| 18 | Predicting the Level of Text Standardness in User-generated Content | 2015 | 8 |
| 19 | 2017 | 8 | |
| 20 | 2020 | 7 |
About Senja Pollak
Senja Pollak is a scholar working on Artificial Intelligence, Molecular Biology, Language and Linguistics, Information Systems and Signal Processing, having authored 73 papers that have together received 525 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (26 papers), Advanced Text Analysis Techniques (10 papers), Semantic Web and Ontologies (9 papers), Biomedical Text Mining and Ontologies (9 papers), Authorship Attribution and Profiling (8 papers), Text Readability and Simplification (7 papers) and Hate Speech and Cyberbullying Detection (5 papers). The work is most often cited by research in Artificial Intelligence (381 citations), Information Systems (77 citations), Experimental and Cognitive Psychology (37 citations), Signal Processing (31 citations) and Language and Linguistics (27 citations). Senja Pollak has collaborated with scholars based in Slovenia, United Kingdom and Croatia. Frequent 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. Their work appears in journals such as Language Resources and Evaluation, Machine Learning, Terminology International Journal of Theoretical and Applied Issues in Specialized Communication, PeerJ Computer Science and Applied Sciences.
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.