Virginijus Marcinkevičius
- Artificial Intelligence top 5%
- Neural Networks and Applications 6
- Advanced Clustering Algorithms Research 5
- Information Systems top 5%
- Data Mining Algorithms and Applications 3
- Spam and Phishing Detection 2
- Signal Processing top 10%
- Data Management and Algorithms 3
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- Data Visualization and Analytics 5
- Face and Expression Recognition 3
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- Robotics and Sensor-Based Localization 3
- Co-authors
- Gintautas DzemydaOlga KurasovaJolita BernatavičienėPovilas TreigysJacek RumińskiPavel StefanovičВ. С. МедведевArtūras Kaklauskas
- Partner nations
- LithuaniaBulgariaMozambique
In The Last Decade
Virginijus Marcinkevičius
26 papers receiving 429 citations
Peers
Comparison fields: 5 of 121
- Artificial Intelligence 249
- Information Systems 109
- Signal Processing 52
- Computer Vision and Pattern Recognition 76
- Management Information Systems 22
Countries citing papers authored by Virginijus Marcinkevičius
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
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
The 12 scholars most cited alongside Virginijus Marcinkevičius, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2023 | 4 | |
| 8 | 2021 | 11 | |
| 9 | 2021 | 1 | |
| 10 | 2021 | 0 | |
| 11 | 2021 | 21 | |
| 12 | 2020 | 1 | |
| 13 | A comparison of the identification methods of objects of the internet of things | 2017 | 0 |
| 14 | 2017 | 206 | |
| 15 | 2017 | 27 | |
| 16 | 2016 | 26 | |
| 17 | 2015 | 1 | |
| 18 | 2014 | 31 | |
| 19 | 2007 | 2 | |
| 20 | 2006 | 1 |
About Virginijus Marcinkevičius
Virginijus Marcinkevičius is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Media Technology, having authored 35 papers that have together received 463 indexed citations. Recurring topics across this work include Neural Networks and Applications (6 papers), Data Visualization and Analytics (5 papers), Advanced Clustering Algorithms Research (5 papers), Data Mining Algorithms and Applications (3 papers), Face and Expression Recognition (3 papers), Data Management and Algorithms (3 papers), Robotics and Sensor-Based Localization (3 papers) and Spam and Phishing Detection (2 papers). The work is most often cited by research in Artificial Intelligence (249 citations), Information Systems (109 citations) and Signal Processing (52 citations). Virginijus Marcinkevičius has collaborated with scholars based in Lithuania, Bulgaria and Mozambique. Frequent co-authors include Gintautas Dzemyda, Olga Kurasova, Jolita Bernatavičienė, Povilas Treigys, Jacek Rumiński, Pavel Stefanovič, В. С. Медведев, Artūras Kaklauskas, Povilas Daniušis and Leonidas Sakalauskas.
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.