Michalis Vrigkas

1.0k total citations · 1 hit paper
27 papers, 641 citations indexed

About

Michalis Vrigkas is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Human-Computer Interaction. According to data from OpenAlex, Michalis Vrigkas has authored 27 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 5 papers in Human-Computer Interaction. Recurrent topics in Michalis Vrigkas's work include Human Pose and Action Recognition (6 papers), Augmented Reality Applications (5 papers) and Virtual Reality Applications and Impacts (5 papers). Michalis Vrigkas is often cited by papers focused on Human Pose and Action Recognition (6 papers), Augmented Reality Applications (5 papers) and Virtual Reality Applications and Impacts (5 papers). Michalis Vrigkas collaborates with scholars based in Greece, United States and Belgium. Michalis Vrigkas's co-authors include Ioannis A. Kakadiaris, Christophoros Nikou, Matthew J. Budoff, Albert Yen, Morteza Naghavi, Tatiana Kuznetsova, Lisimachos P. Kondi, Marina E. Plissiti, Alexandros Kleftodimos and Georgios Lappas and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Sensors.

In The Last Decade

Michalis Vrigkas

25 papers receiving 618 citations

Hit Papers

A Review of Human Activity Recognition Methods 2015 2026 2018 2022 2015 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Review of Human Activity Recognition Methods
    2015 364 citations Michalis Vrigkas, Christophoros Nikou et al. profile →

Peers

Michalis Vrigkas
Songül Albayrak Türkiye
Sara Colantonio Italy
Jayanta Mukhopadhyay India
K. Swaraja India
Turke Althobaiti Saudi Arabia
Jinghui Chu China
Bambang Tutuko Indonesia
Hadi Banaee Sweden
Sang‐Woong Lee South Korea
Alex Page United States
Songül Albayrak Türkiye
Michalis Vrigkas
Citations per year, relative to Michalis Vrigkas Michalis Vrigkas (= 1×) peers Songül Albayrak

Countries citing papers authored by Michalis Vrigkas

Since Specialization
Citations

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

Fields of papers citing papers by Michalis Vrigkas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michalis Vrigkas

This figure shows the co-authorship network connecting the top 25 collaborators of Michalis Vrigkas. A scholar is included among the top collaborators of Michalis Vrigkas 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 Michalis Vrigkas. Michalis Vrigkas 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.
Vrigkas, Michalis, et al.. (2025). Integrating Augmented Reality and Geolocation for Outdoor Interactive Educational Experiences. SHILAP Revista de lepidopterología. 4(2). 18–18.
2.
Plissiti, Marina E., et al.. (2024). Accurate Cell Segmentation Based on Generative Adversarial Networks and Nuclei Guide Factors. 1–4. 1 indexed citations
3.
Kleftodimos, Alexandros, et al.. (2023). Creating Location-Based Augmented Reality Games and Immersive Experiences for Touristic Destination Marketing and Education. Computers. 12(11). 227–227. 9 indexed citations
4.
5.
Vrigkas, Michalis & Christophoros Nikou. (2023). A Virtual Reality 3D Game: A Comparison Between an Immersive Virtual Reality Application and A Desktop Experience. 3725–3729. 3 indexed citations
6.
Vrigkas, Michalis, et al.. (2022). Segmentation of SEM images of multiphase materials: When Gaussian mixture models are accurate?. Journal of Microscopy. 289(1). 58–70. 1 indexed citations
7.
Kleftodimos, Alexandros, Georgios Lappas, & Michalis Vrigkas. (2022). Taleblazer vs. Metaverse: a comparative analysis of two platforms for building AR location-based educational games. 1(4). 290–290. 3 indexed citations
8.
Vrigkas, Michalis, Georgios Lappas, & Alexandros Kleftodimos. (2022). An augmented reality workflow for creating 'live' wine labels. 1(4). 311–311. 3 indexed citations
9.
Vrigkas, Michalis, et al.. (2022). FaceMask: A New Image Dataset for the Automated Identification of People Wearing Masks in the Wild. Sensors. 22(3). 896–896. 14 indexed citations
10.
11.
Kleftodimos, Alexandros, Georgios Lappas, & Michalis Vrigkas. (2022). An augmented reality workflow for creating 'live' wine labels. 1(4). 311–311. 1 indexed citations
12.
13.
Vrigkas, Michalis, Christophoros Nikou, & Ioannis A. Kakadiaris. (2016). Active privileged learning of human activities from weakly labeled samples. 3036–3040. 2 indexed citations
14.
Plissiti, Marina E., Michalis Vrigkas, & Christophoros Nikou. (2015). Segmentation of cell clusters in Pap smear images using intensity variation between superpixels. 184–187. 13 indexed citations
15.
Vrigkas, Michalis, Christophoros Nikou, & Ioannis A. Kakadiaris. (2015). Identifying Human Behaviors Using Synchronized Audio-Visual Cues. IEEE Transactions on Affective Computing. 8(1). 54–66. 9 indexed citations
16.
Vrigkas, Michalis, Christophoros Nikou, & Lisimachos P. Kondi. (2014). Robust maximuma posterioriimage super-resolution. Journal of Electronic Imaging. 23(4). 43016–43016. 2 indexed citations
17.
Vrigkas, Michalis, Christophoros Nikou, & Lisimachos P. Kondi. (2013). Accurate image registration for MAP image super-resolution. Signal Processing Image Communication. 28(5). 494–508. 16 indexed citations
18.
Vrigkas, Michalis, et al.. (2013). Action Recognition by Matching Clustered Trajectories of Motion Vectors. 112–117. 6 indexed citations
19.
Vrigkas, Michalis, et al.. (2013). Matching mixtures of curves for human action recognition. Computer Vision and Image Understanding. 119. 27–40. 28 indexed citations
20.
Vrigkas, Michalis, Christophoros Nikou, & Lisimachos P. Kondi. (2012). A fully robust framework for MAP image super-resolution. 6822. 2225–2228. 2 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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