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.
Cooperative Communications with Outage-Optimal Opportunistic Relaying
2007846 citationsAggelos Bletsas et al.IEEE Transactions on Wireless Communicationsprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
Countries citing papers authored by Aggelos Bletsas
Since
Specialization
Citations
This map shows the geographic impact of Aggelos Bletsas'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 Aggelos Bletsas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aggelos Bletsas more than expected).
This network shows the impact of papers produced by Aggelos Bletsas. 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 Aggelos Bletsas. The network helps show where Aggelos Bletsas may publish in the future.
Co-authorship network of co-authors of Aggelos Bletsas
This figure shows the co-authorship network connecting the top 25 collaborators of Aggelos Bletsas.
A scholar is included among the top collaborators of Aggelos Bletsas 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 Aggelos Bletsas. Aggelos Bletsas is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Dimitriou, Antonis G., et al.. (2019). Introduction of Dynamic Virtual Force Vector in Particle Swarm Optimization for Automated Deployment of RFID Networks. European Conference on Antennas and Propagation.3 indexed citations
5.
Yioultsis, Traianos V., John N. Sahalos, Emmanouil Tsardoulias, et al.. (2019). Fingerprinting Localization of RFID tags with Real-Time Performance-Assessment, using a Moving Robot. European Conference on Antennas and Propagation.17 indexed citations
Dimitriou, Antonis G., et al.. (2015). Mobility improves performance of RFID library systems. European Conference on Antennas and Propagation. 1–4.1 indexed citations
Dimitriou, Antonis G., Aggelos Bletsas, Anastasis C. Polycarpou, & John N. Sahalos. (2011). Theoretical Findings and Measurements on Planning a UHF RFID System inside a Room. SHILAP Revista de lepidopterología.14 indexed citations
13.
Polycarpou, Anastasis C., Loizos Papaloizou, Panayiotis C. Polycarpou, et al.. (2011). A healthcare application based on passive UHF RFID technology. European Conference on Antennas and Propagation. 2814–2818.3 indexed citations
14.
Dimitriou, Antonis G., Aggelos Bletsas, & John N. Sahalos. (2011). On the design of passive RFID tags for ASK modulation. European Conference on Antennas and Propagation. 2823–2827.5 indexed citations
15.
Dimitriou, Antonis G., et al.. (2010). On efficient UHF RFID coverage inside a room. European Conference on Antennas and Propagation. 1–5.7 indexed citations
16.
Dimitriou, Antonis G., et al.. (2010). An efficient propagation model for automatic planning of indoor wireless networks. European Conference on Antennas and Propagation. 1–5.9 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.