George Pallis

4.0k total citations · 1 hit paper
87 papers, 2.3k citations indexed

About

George Pallis is a scholar working on Computer Networks and Communications, Information Systems and Artificial Intelligence. According to data from OpenAlex, George Pallis has authored 87 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 32 papers in Information Systems and 17 papers in Artificial Intelligence. Recurrent topics in George Pallis's work include IoT and Edge/Fog Computing (19 papers), Caching and Content Delivery (19 papers) and Peer-to-Peer Network Technologies (18 papers). George Pallis is often cited by papers focused on IoT and Edge/Fog Computing (19 papers), Caching and Content Delivery (19 papers) and Peer-to-Peer Network Technologies (18 papers). George Pallis collaborates with scholars based in Cyprus, Greece and United Kingdom. George Pallis's co-authors include Athena Vakali, Marios D. Dikaiakos, Dimitrios Katsaros, Pankaj Mehra, Demetris Trihinas, Marios D. Dikaiakos, Zhiwei Xu, Weisong Shi, Agapios Agapiou and M. Statheropoulos and has published in prestigious journals such as PLoS ONE, Proceedings of the IEEE and Scientific Reports.

In The Last Decade

George Pallis

82 papers receiving 2.2k citations

Hit Papers

Cloud Computing: Distributed Internet Computing for IT an... 2009 2026 2014 2020 2009 100 200 300 400
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. Cloud Computing: Distributed Internet Computing for IT and Scientific Research
    2009 453 citations Marios D. Dikaiakos, George Pallis et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
George Pallis Cyprus 23 1.6k 956 338 266 247 87 2.3k
Bharat Bhushan India 23 1.0k 0.7× 962 1.0× 497 1.5× 274 1.0× 200 0.8× 122 2.2k
Ralph Deters Canada 26 1.3k 0.8× 1.4k 1.5× 509 1.5× 188 0.7× 294 1.2× 158 2.5k
Shanshan Zhao United Kingdom 6 998 0.6× 473 0.5× 223 0.7× 439 1.7× 193 0.8× 7 1.8k
Siti Hafizah Ab Hamid Malaysia 21 922 0.6× 746 0.8× 279 0.8× 276 1.0× 101 0.4× 61 1.6k
Cesare Stefanelli Italy 23 1.2k 0.8× 492 0.5× 272 0.8× 212 0.8× 253 1.0× 129 1.7k
Gyu Myoung Lee United Kingdom 26 1.3k 0.8× 799 0.8× 471 1.4× 590 2.2× 260 1.1× 109 2.3k
Feifei Chen China 34 2.1k 1.3× 1.5k 1.6× 763 2.3× 531 2.0× 386 1.6× 125 3.3k
Jie Tao Germany 18 1.2k 0.7× 1.3k 1.4× 471 1.4× 107 0.4× 151 0.6× 96 2.1k
Wenbo Wang China 20 1.2k 0.8× 1.2k 1.3× 382 1.1× 690 2.6× 103 0.4× 120 2.2k
Javed Aslam United States 18 917 0.6× 693 0.7× 772 2.3× 317 1.2× 234 0.9× 46 2.1k

Countries citing papers authored by George Pallis

Since Specialization
Citations

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

Fields of papers citing papers by George Pallis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Pallis

This figure shows the co-authorship network connecting the top 25 collaborators of George Pallis. A scholar is included among the top collaborators of George Pallis 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 George Pallis. George Pallis 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.
Pallis, George, et al.. (2025). Utilizing large-scale human mobility data to identify determinants of physical activity. Scientific Reports. 15(1). 3420–3420. 1 indexed citations
2.
Nicolaou, Nicos, et al.. (2025). Founder smiles increase investor trust and funding. Scientific Reports. 15(1). 27912–27912. 1 indexed citations
3.
Nicolaides, Christos, et al.. (2024). Evaluating the utility of human mobility data under local differential privacy. Zenodo (CERN European Organization for Nuclear Research). 67–76. 2 indexed citations
4.
Koussouris, Sotirios, et al.. (2024). Bridging Data and AIOps for Future AI Advancements with Human-in-the-Loop. The AI-DAPT Concept. Zenodo (CERN European Organization for Nuclear Research). 1–8.
5.
Trihinas, Demetris, et al.. (2023). FedBed: Benchmarking Federated Learning over Virtualized Edge Testbeds. 1–10. 2 indexed citations
6.
Dikaiakos, Marios D., et al.. (2023). A cyber‐physical management system for medium‐scale solar‐powered data centers. Concurrency and Computation Practice and Experience. 35(10). 3 indexed citations
7.
Pallis, George, et al.. (2023). A Multiple change-point detection framework on linguistic characteristics of real versus fake news articles. Scientific Reports. 13(1). 6086–6086. 8 indexed citations
8.
Trihinas, Demetris, et al.. (2023). Energy-Aware Streaming Analytics Job Scheduling for Edge Computing. 161–168. 1 indexed citations
9.
Trihinas, Demetris, et al.. (2022). 5G-Slicer: An emulator for mobile IoT applications deployed over 5G network slices. 115–127. 7 indexed citations
10.
Nicolaou, Nicos, et al.. (2021). Exploring the sentiment of entrepreneurs on Twitter. PLoS ONE. 16(7). e0254337–e0254337. 2 indexed citations
11.
Trihinas, Demetris, et al.. (2020). Fogify: A Fog Computing Emulation Framework. 42–54. 37 indexed citations
12.
Andreou, Andreas S., et al.. (2020). MANDOLA. ACM Transactions on Internet Technology. 20(2). 1–21. 35 indexed citations
13.
Dikaiakos, Marios D., George Pallis, & Evangelos P. Markatos. (2016). Mandola: Monitoring and Detecting Online Hate Speech.. ERCIM news/ERCIM news online edition. 2016. 1 indexed citations
14.
Antoniades, Demetris, et al.. (2015). Identification of Key Locations based on Online Social Network Activity. 218–225. 20 indexed citations
15.
Pallis, George, et al.. (2013). Understanding V2X Communication Dynamics Through Complex Network Science.. ERCIM news/ERCIM news online edition. 2013. 2 indexed citations
16.
Pallis, George, et al.. (2011). Proceedings of the 2011 international conference on Service-Oriented Computing. 35 indexed citations
17.
Pallis, George, et al.. (2010). On the Evaluation of Caching in Vehicular Information Systems. 218–220. 6 indexed citations
18.
Stamos, Kostas, George Pallis, Athena Vakali, & Marios D. Dikaiakos. (2009). Evaluating the utility of content delivery networks. 11–20. 19 indexed citations
19.
Pallis, George, et al.. (2007). Content Classification for Caching under CDNs. 586–590. 2 indexed citations
20.
Stamos, Kostas, et al.. (2006). A similarity based approach for integrated Web caching and content replication in CDNs. 15. 239–242. 8 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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