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.
Efficient model-based 3D tracking of hand articulations using Kinect
2011574 citationsIason Oikonomidis, Νikolaos Kyriazis et al.profile →
Countries citing papers authored by Antonis Argyros
Since
Specialization
Citations
This map shows the geographic impact of Antonis Argyros'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 Antonis Argyros with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonis Argyros more than expected).
This network shows the impact of papers produced by Antonis Argyros. 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 Antonis Argyros. The network helps show where Antonis Argyros may publish in the future.
Co-authorship network of co-authors of Antonis Argyros
This figure shows the co-authorship network connecting the top 25 collaborators of Antonis Argyros.
A scholar is included among the top collaborators of Antonis Argyros 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 Antonis Argyros. Antonis Argyros is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Argyros, Antonis, et al.. (2019). MocapNET: Ensemble of SNN Encoders for 3D Human Pose Estimation in RGB Images.. British Machine Vision Conference. 46.9 indexed citations
11.
Papoutsakis, Konstantinos & Antonis Argyros. (2019). Unsupervised and Explainable Assessment of Video Similarity.. British Machine Vision Conference. 151.2 indexed citations
Oikonomidis, Iason, Νikolaos Kyriazis, & Antonis Argyros. (2013). Tracking the Articulated Motion of Human Hands in 3D.. ERCIM news/ERCIM news online edition. 2013.1 indexed citations
14.
Zabulis, Xenophon, et al.. (2011). Macedonia: From Fragments to Pixels.. ERCIM news/ERCIM news online edition. 2011.1 indexed citations
15.
Michel, Damien, et al.. (2009). Building a multi-touch display based on computer vision techniques. Machine Vision and Applications. 74–77.6 indexed citations
16.
Zabulis, Xenophon, et al.. (2009). A multicamera vision system supporting the development of wide-area exertainment applications. Machine Vision and Applications. 269–272.5 indexed citations
17.
Argyros, Antonis, et al.. (2007). Smart sensor based vision system for automated processes. SZTAKI Publication Repository (Hungarian Academy of Sciences).1 indexed citations
18.
Lourakis, Manolis & Antonis Argyros. (2007). Refining Single View Calibration With the Aid of Metric Scene Properties.. International Conference in Central Europe on Computer Graphics and Visualization. 15. 129–134.1 indexed citations
19.
Bekris, Kostas E., et al.. (2002). PYTHEAS: an Integrated Robotic System with Autonomous Navigation Capabilities. 8(2). 81–92.1 indexed citations
20.
Argyros, Antonis, Manolis Lourakis, Panos Trahanias, & Stelios C. Orphanoudakis. (1996). Fast Visual Detection of Changes in 3D Motion. Machine Vision and Applications. 216–219.3 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.