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.
Augmented Reality and Gamification in Education: A Systematic Literature Review of Research, Applications, and Empirical Studies
2022163 citationsΓεώργιος Λαμπρόπουλος, Euclid Keramopoulos et al.Applied Sciencesprofile →
Rethinking Vision Transformers for MobileNet Size and Speed
2023145 citationsGeorgios Evangelidis et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Georgios Evangelidis
Since
Specialization
Citations
This map shows the geographic impact of Georgios Evangelidis'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 Georgios Evangelidis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Georgios Evangelidis more than expected).
Fields of papers citing papers by Georgios Evangelidis
This network shows the impact of papers produced by Georgios Evangelidis. 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 Georgios Evangelidis. The network helps show where Georgios Evangelidis may publish in the future.
Co-authorship network of co-authors of Georgios Evangelidis
This figure shows the co-authorship network connecting the top 25 collaborators of Georgios Evangelidis.
A scholar is included among the top collaborators of Georgios Evangelidis 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 Georgios Evangelidis. Georgios Evangelidis is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Evangelidis, Georgios, et al.. (2008). Multivariate Time Series Data Mining: PCA-based Measures For Similarity Search.. 11(2). 253–259.6 indexed citations
13.
Evangelidis, Georgios, et al.. (2005). TEACHING OBJECT-ORIENTED THINKING TO NOVICE PROGRAMMERS USING THE AGENTSHEETS ENVIRONMENT. 343–348.2 indexed citations
14.
Satratzemi, Maya, et al.. (2003). Implementing a Nationwide System for Training Very Small Enterprises for ICT Innovation: the Greek Case. Educational Technology & Society. 6.6 indexed citations
15.
Satratzemi, Maya, et al.. (2003). ITiCSE 2003 : proceedings of the 8th annual SIGCSE Conference on Innovation and Technology in Computer Science Education, June 30-July 2, 2003, Thessaloniki, Greece. Medical Entomology and Zoology.2 indexed citations
Evangelidis, Georgios, et al.. (2001). Implementing applications on small robots for educational purposes: Programming the LEGO mindstorms.. 337–341.2 indexed citations
18.
Evangelidis, Georgios, David Lomet, & Betty Salzberg. (1997). The hBPi/-tree: A Concurrent and Recoverable Multi-attribute Index. The VLDB Journal.1 indexed citations
19.
Evangelidis, Georgios, David Lomet, & Betty Salzberg. (1995). The hBP-tree: A Modified hB-tree Supporting Concurrency, Recovery and Node Consolidation. Very Large Data Bases. 551–561.19 indexed citations
20.
Evangelidis, Georgios & Betty Salzberg. (1993). Using the Holy Brick Tree for Spatial Data in General Purpose DBMSs.. IEEE Data(base) Engineering Bulletin. 16. 34–39.2 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.