Matej Martinc

641 citations
33 papers · 294 · h-index 9

Impact in

    • Topic Modeling
    • Natural Language Processing Techniques
    • Text Readability and Simplification
    • Advanced Text Analysis Techniques
    • Hate Speech and Cyberbullying Detection
    • Authorship Attribution and Profiling
    • Language and cultural evolution

Papers in

    • Natural Language Processing Techniques 17
    • Topic Modeling 17
    • Advanced Text Analysis Techniques 8
    • Authorship Attribution and Profiling 5
    • Semantic Web and Ontologies 4
    • Hate Speech and Cyberbullying Detection 3
    • Speech and dialogue systems 2
    • Biomedical Text Mining and Ontologies 5

Matej Martinc

30 papers receiving 280 citations

Peers

Matej Martinc
Comparison fields: 5 of 59
  • Artificial Intelligence 224
  • Cultural Studies 23
  • Communication 15
  • Experimental and Cognitive Psychology 23
  • Signal Processing 18
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Balázs Kis Hungary
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Antonio Zampollí Italy
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Citations per field
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Citations per year

Countries citing papers authored by Matej Martinc

Since Specialization
Citations

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

Fields of papers citing papers by Matej Martinc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matej Martinc, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matej Martinc Line = papers co-authored together Matej Martinc links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202154
2 202033
3 202032
4 202131
5 202124
6 202119
7
PAN 2017: Author Profiling - Gender and Language Variety Prediction.
201715
8 201915
9 202010
10 20207
11
Zero-shot Cross-lingual Content Filtering: Offensive Language and Hate Speech Detection
20216
12 20196
13 20196
14 20176
15 20184
16 20204
17
Multilingual Gender Classification with Multi-view Deep Learning: Notebook for PAN at CLEF 2018.
20183
18 20203
19 20242
20
BISLON: BISociative SLOgaN generation based on stylistic literary devices.
20182

About Matej Martinc

Matej Martinc is a scholar working on Artificial Intelligence, Molecular Biology, Language and Linguistics, Communication and Information Systems, having authored 33 papers that have together received 294 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (17 papers), Topic Modeling (17 papers), Advanced Text Analysis Techniques (8 papers), Authorship Attribution and Profiling (5 papers), Biomedical Text Mining and Ontologies (5 papers), Semantic Web and Ontologies (4 papers), Hate Speech and Cyberbullying Detection (3 papers) and Speech and dialogue systems (2 papers). The work is most often cited by research in Artificial Intelligence (224 citations), Cultural Studies (23 citations), Communication (15 citations), Experimental and Cognitive Psychology (23 citations) and Signal Processing (18 citations). Matej Martinc has collaborated with scholars based in Slovenia, United Kingdom and France. Frequent co-authors include Senja Pollak, Marko Robnik‐Šikonja, Blaž Škrlj, Nada Lavrač, Lidia Pivovarova, Fasih Haider, Saturnino Luz, Petra Kralj Novak, Elaine Zosa and Manja Klemenčić. Their work appears in journals such as Language Resources and Evaluation, Machine Learning, Terminology International Journal of Theoretical and Applied Issues in Specialized Communication, Natural Language Engineering and Frontiers in Aging Neuroscience.

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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