Virginijus Marcinkevičius

755 total citations
35 papers, 463 citations indexed

About

Virginijus Marcinkevičius is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Virginijus Marcinkevičius has authored 35 papers receiving a total of 463 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Virginijus Marcinkevičius's work include Neural Networks and Applications (6 papers), Data Visualization and Analytics (5 papers) and Advanced Clustering Algorithms Research (5 papers). Virginijus Marcinkevičius is often cited by papers focused on Neural Networks and Applications (6 papers), Data Visualization and Analytics (5 papers) and Advanced Clustering Algorithms Research (5 papers). Virginijus Marcinkevičius collaborates with scholars based in Lithuania, Bulgaria and Mozambique. Virginijus Marcinkevičius's co-authors include Gintautas Dzemyda, Olga Kurasova, Jolita Bernatavičienė, Povilas Treigys, Jacek Rumiński, Pavel Stefanovič, В. С. Медведев, Artūras Kaklauskas, Mantas Stankevičius and Leonidas Sakalauskas and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and IEEE Access.

In The Last Decade

Virginijus Marcinkevičius

26 papers receiving 429 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Virginijus Marcinkevičius Lithuania 12 249 109 76 52 39 35 463
Kinjal Chaudhari India 11 194 0.8× 82 0.8× 85 1.1× 74 1.4× 37 0.9× 15 720
Ramzan Talib Pakistan 8 286 1.1× 141 1.3× 116 1.5× 44 0.8× 77 2.0× 26 667
Tomáš Horváth Slovakia 14 271 1.1× 173 1.6× 75 1.0× 24 0.5× 41 1.1× 40 538
Mohammed Elbes Jordan 12 172 0.7× 86 0.8× 53 0.7× 37 0.7× 73 1.9× 29 422
Yufei Wang China 12 457 1.8× 82 0.8× 88 1.2× 27 0.5× 43 1.1× 67 784
Ángel González-Prieto Spain 11 146 0.6× 142 1.3× 84 1.1× 46 0.9× 57 1.5× 31 441
Olga Kurasova Lithuania 14 275 1.1× 68 0.6× 159 2.1× 60 1.2× 19 0.5× 70 613
Shafaatunnur Hasan Malaysia 12 428 1.7× 93 0.9× 100 1.3× 20 0.4× 41 1.1× 38 659

Countries citing papers authored by Virginijus Marcinkevičius

Since Specialization
Citations

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

Fields of papers citing papers by Virginijus Marcinkevičius

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Virginijus Marcinkevičius

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

All Works

20 of 20 papers shown
1.
Marcinkevičius, Virginijus, et al.. (2025). HALT-PROP: Human-Annotated Lithuanian Textual Corpus for Propaganda Narratives and Techniques. Scientific Data. 13(1). 47–47.
2.
Daniušis, Povilas, et al.. (2025). Measuring Statistical Dependence via Characteristic Function IPM. Entropy. 27(12). 1254–1254.
3.
Daniušis, Povilas, et al.. (2024). DINO Pre-training for Vision-based End-to-end Autonomous Driving. Baltic Journal of Modern Computing. 12(4).
4.
Marcinkevičius, Virginijus, et al.. (2023). Benchmark for Hyperspectral Unmixing Algorithm Evaluation. Informatica. 285–315. 2 indexed citations
5.
Daniušis, Povilas, et al.. (2023). Visual Place Recognition Pre-Training for End-to-End Trained Autonomous Driving Agent. IEEE Access. 11. 128421–128428.
6.
Dzemyda, Gintautas, et al.. (2023). Is my visualization better than yours? Analyzing factors modulating exponential growth bias in graphs. Frontiers in Psychology. 14. 1125810–1125810. 4 indexed citations
7.
Kurasova, Olga, et al.. (2021). Early Cost Estimation in Customized Furniture Manufacturing Using Machine Learning. International Journal of Machine Learning and Computing. 11(1). 28–33. 11 indexed citations
8.
Kurasova, Olga, et al.. (2021). Enhanced Visualization of Customized Manufacturing Data. Digital Library (University of West Bohemia). 1 indexed citations
9.
Marcinkevičius, Virginijus, et al.. (2021). Study of Multi-Class Classification Algorithms’ Performance on Highly Imbalanced Network Intrusion Datasets. Informatica. 441–475. 21 indexed citations
10.
Sakalauskas, Leonidas, et al.. (2021). Task stalling for a batch of task makespan minimisation in heterogeneous multigrid computing. SHILAP Revista de lepidopterología. 8. 631–638.
11.
Stankevičius, Mantas, Virginijus Marcinkevičius, & V. Rapševičius. (2020). Meta-Learning for Artificial Neural Network Hyper-Parameter Optimization for CERN CMS Offline Data Certification. Journal of Physics Conference Series. 1525(1). 12103–12103. 1 indexed citations
12.
Marcinkevičius, Virginijus, et al.. (2019). Robust GNSS-denied localization for UAV using particle filter and visual odometry. Machine Vision and Applications. 30(7-8). 1181–1190. 21 indexed citations
13.
Marcinkevičius, Virginijus, et al.. (2017). Comparison of Naive Bayes, Random Forest, Decision Tree, Support Vector Machines, and Logistic Regression Classifiers for Text Reviews Classification. Baltic Journal of Modern Computing. 5(2). 206 indexed citations
14.
Marcinkevičius, Virginijus, et al.. (2017). A comparison of the identification methods of objects of the internet of things. 78(78). 66–82.
15.
Kurasova, Olga, et al.. (2017). A new web-based solution for modelling data mining processes. Simulation Modelling Practice and Theory. 76. 34–46. 27 indexed citations
16.
Marcinkevičius, Virginijus, et al.. (2016). Application of Logistic Regression with part-of-the-speech tagging for multi-class text classification. 1–5. 26 indexed citations
17.
Marcinkevičius, Virginijus, et al.. (2015). Energy efficient platform for sobel filter implementation in energy and size constrained systems. 30. 1–5. 1 indexed citations
18.
Kurasova, Olga, et al.. (2014). Strategies for Big Data Clustering. 740–747. 31 indexed citations
19.
Bernatavičienė, Jolita, Gintautas Dzemyda, & Virginijus Marcinkevičius. (2007). DIAGONAL MAJORIZATION ALGORITHM: PROPERTIES AND EFFICIENCY. Information Technology And Control. 36(4). 2 indexed citations
20.
Bernatavičienė, Jolita, Gintautas Dzemyda, Olga Kurasova, & Virginijus Marcinkevičius. (2006). STRATEGIES OF SELECTING THE BASIS VECTOR SET IN THE RELATIVE MDS. Technological and Economic Development of Economy. 12(4). 283–288. 1 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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