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.
Mobile Augmented Reality Survey: From Where We Are to Where We Go
2017306 citationsDimitris Chatzopoulos, Carlos Bermejo et al.IEEE Accessprofile →
Life, the Metaverse and Everything: An Overview of Privacy, Ethics, and Governance in Metaverse
2022101 citationsCarlos Bermejo, Pan HuiRare & Special e-Zone (The Hong Kong University of Science and Technology)profile →
All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda
202460 citationsLik‐Hang Lee, Tristan Braud et al.Rare & Special e-Zone (The Hong Kong University of Science and Technology)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 Carlos Bermejo
Since
Specialization
Citations
This map shows the geographic impact of Carlos Bermejo'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 Carlos Bermejo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Bermejo more than expected).
This network shows the impact of papers produced by Carlos Bermejo. 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 Carlos Bermejo. The network helps show where Carlos Bermejo may publish in the future.
Co-authorship network of co-authors of Carlos Bermejo
This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Bermejo.
A scholar is included among the top collaborators of Carlos Bermejo 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 Carlos Bermejo. Carlos Bermejo 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.
Lee, Lik‐Hang, Tristan Braud, Pengyuan Zhou, et al.. (2024). All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 18(2–3). 100–337.60 indexed citations breakdown →
Bermejo, Carlos & Pan Hui. (2022). Life, the Metaverse and Everything: An Overview of Privacy, Ethics, and Governance in Metaverse. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 272–277.101 indexed citations breakdown →
Lee, Lik‐Hang, Tristan Braud, Pengyuan Zhou, et al.. (2021). From Internet and Extended Reality to Metaverse: Technology Survey, Ecosystem, and Future Directions. arXiv (Cornell University).3 indexed citations
10.
Bermejo, Carlos, Petteri Nurmi, & Pan Hui. (2021). Seeing is Believing?. Työväentutkimus Vuosikirja. 4183–4192.9 indexed citations
Chatzopoulos, Dimitris, Carlos Bermejo, Zhanpeng Huang, & Pan Hui. (2017). Mobile Augmented Reality Survey: From Where We Are to Where We Go. IEEE Access. 5. 6917–6950.306 indexed citations breakdown →
19.
Chatzopoulos, Dimitris, et al.. (2017). Hyperion. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 284–295.12 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.