Matej Martinc

624 total citations
32 papers, 289 citations indexed

About

Matej Martinc is a scholar working on Artificial Intelligence, Molecular Biology and Language and Linguistics. According to data from OpenAlex, Matej Martinc has authored 32 papers receiving a total of 289 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Language and Linguistics. Recurrent topics in Matej Martinc's work include Topic Modeling (17 papers), Natural Language Processing Techniques (17 papers) and Advanced Text Analysis Techniques (8 papers). Matej Martinc is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (17 papers) and Advanced Text Analysis Techniques (8 papers). Matej Martinc collaborates with scholars based in Slovenia, United Kingdom and France. Matej Martinc's co-authors include Senja Pollak, Marko Robnik‐Šikonja, Blaž Škrlj, Nada Lavrač, Lidia Pivovarova, Saturnino Luz, Fasih Haider, Petra Kralj Novak, Elaine Zosa and Manja Klemenčić and has published in prestigious journals such as Machine Learning, Studies in Higher Education and Frontiers in Aging Neuroscience.

In The Last Decade

Matej Martinc

29 papers receiving 272 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matej Martinc Slovenia	9	230	37	23	23	19	32	289
Aline Villavicencio Brazil	17	635 2.8×	29 0.8×	20 0.9×	53 2.3×	11 0.6×	71	743
Stéfan Sinclair Canada	8	122 0.5×	30 0.8×	18 0.8×	17 0.7×	29 1.5×	47	303
Balázs Kis Sweden	5	341 1.5×	49 1.3×	12 0.5×	39 1.7×	26 1.4×	12	441
van Gerardus Noord	9	394 1.7×	42 1.1×	10 0.4×	14 0.6×	12 0.6×	24	447
Gideon Kotzé South Africa	5	274 1.2×	33 0.9×	6 0.3×	19 0.8×	19 1.0×	13	351
Antonio Zampollí Italy	12	481 2.1×	30 0.8×	12 0.5×	82 3.6×	11 0.6×	38	703
David Tugwell United Kingdom	7	565 2.5×	29 0.8×	11 0.5×	62 2.7×	9 0.5×	10	711
Diptesh Kanojia India	10	208 0.9×	25 0.7×	5 0.2×	14 0.6×	7 0.4×	50	246
Adriano Ferraresi Italy	6	734 3.2×	71 1.9×	29 1.3×	94 4.1×	10 0.5×	17	928
Emiel van Miltenburg Netherlands	11	386 1.7×	40 1.1×	9 0.4×	25 1.1×	15 0.8×	29	494

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-authorship network of co-authors of Matej Martinc

This figure shows the co-authorship network connecting the top 25 collaborators of Matej Martinc. A scholar is included among the top collaborators of Matej Martinc 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 Matej Martinc. Matej Martinc 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.

Martinc, Matej, et al.. (2024). Can cross-domain term extraction benefit from cross-lingual transfer and nested term labeling?. Machine Learning. 113(7). 4285–4314. 2 indexed citations

Martinc, Matej, et al.. (2022). JSI at SemEval-2022 Task 1: CODWOE - Reverse Dictionary: Monolingual and cross-lingual approaches. 101–106. 1 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

Martinc, Matej, Fasih Haider, Senja Pollak, & Saturnino Luz. (2021). Temporal Integration of Text Transcripts and Acoustic Features for Alzheimer's Diagnosis Based on Spontaneous Speech. Frontiers in Aging Neuroscience. 13. 642647–642647. 31 indexed citations

Martinc, Matej, Senja Pollak, & Marko Robnik‐Šikonja. (2021). Supervised and Unsupervised Neural Approaches to Text Readability. Computational Linguistics. 47(1). 141–179. 54 indexed citations

Martinc, Matej, et al.. (2021). Scalable and Interpretable Semantic Change Detection. Työväentutkimus Vuosikirja. 4642–4652. 24 indexed citations

Purver, Matthew, et al.. (2021). 24sata news article archive 1.0. 1 indexed citations

10.

Martinc, Matej, et al.. (2021). EMBEDDIA hackathon report: Automatic sentiment and viewpoint analysis of Slovenian news corpus on the topic of LGBTIQ+. Zenodo (CERN European Organization for Nuclear Research). 121–126. 1 indexed citations

11.

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

12.

Lavrač, Nada, Matej Martinc, Senja Pollak, Marus̆a Pompe‐Novak, & Bojan Cestnik. (2020). Bisociative Literature-Based Discovery: Lessons Learned and New Word Embedding Approach. New Generation Computing. 38(4). 773–800. 4 indexed citations

13.

Pollak, Senja, et al.. (2019). Karst Exploration: Extracting Terms and Definitions from Karst Domain Corpus. Zenodo (CERN European Organization for Nuclear Research). 934–956. 6 indexed citations

14.

Martinc, Matej, et al.. (2019). Embeddia at SemEval-2019 Task 6: Detecting Hate with Neural Network and Transfer Learning Approaches. 604–610. 15 indexed citations

15.

Martinc, Matej, Blaž Škrlj, & Senja Pollak. (2019). Fake or Not: Distinguishing Between Bots, Males and Females. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

16.

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

17.

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

18.

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

19.

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

20.

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