Christos Chrysoulas

700 total citations
45 papers, 367 citations indexed

About

Christos Chrysoulas is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Christos Chrysoulas has authored 45 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 17 papers in Computer Networks and Communications and 17 papers in Artificial Intelligence. Recurrent topics in Christos Chrysoulas's work include Service-Oriented Architecture and Web Services (8 papers), Network Security and Intrusion Detection (6 papers) and Distributed and Parallel Computing Systems (5 papers). Christos Chrysoulas is often cited by papers focused on Service-Oriented Architecture and Web Services (8 papers), Network Security and Intrusion Detection (6 papers) and Distributed and Parallel Computing Systems (5 papers). Christos Chrysoulas collaborates with scholars based in United Kingdom, Portugal and Greece. Christos Chrysoulas's co-authors include Nikolaos Pitropakis, Pavlos Papadopoulos, William J. Buchanan, Xiaodong Liu, Alexios Mylonas, Tasos Dagiuklas, Luís Lino Ferreira, Anatolijs Zabašta, Pál Varga and Stavros Stavrou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Sensors and Applied Sciences.

In The Last Decade

Christos Chrysoulas

39 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christos Chrysoulas United Kingdom 11 169 129 110 66 61 45 367
Abdullah Alabdulatif Saudi Arabia 9 161 1.0× 140 1.1× 123 1.1× 50 0.8× 67 1.1× 28 414
Wentao Wang China 14 172 1.0× 113 0.9× 232 2.1× 51 0.8× 33 0.5× 61 483
Yasir Ali Pakistan 9 246 1.5× 87 0.7× 144 1.3× 60 0.9× 70 1.1× 41 429
Wenjia Niu China 12 210 1.2× 166 1.3× 119 1.1× 54 0.8× 60 1.0× 67 426
Mikail Mohammed Salim South Korea 11 315 1.9× 229 1.8× 192 1.7× 70 1.1× 122 2.0× 17 535
Martin Serror Germany 8 281 1.7× 99 0.8× 97 0.9× 121 1.8× 61 1.0× 23 413
Weichao Gao United States 9 282 1.7× 144 1.1× 212 1.9× 101 1.5× 43 0.7× 21 491
Laïd Kahloul Algeria 10 196 1.2× 79 0.6× 107 1.0× 46 0.7× 22 0.4× 100 412
Celso Massaki Hirata Brazil 10 210 1.2× 75 0.6× 138 1.3× 44 0.7× 25 0.4× 79 453
Jaesoo Yoo South Korea 12 289 1.7× 156 1.2× 178 1.6× 66 1.0× 83 1.4× 158 588

Countries citing papers authored by Christos Chrysoulas

Since Specialization
Citations

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

Fields of papers citing papers by Christos Chrysoulas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christos Chrysoulas

This figure shows the co-authorship network connecting the top 25 collaborators of Christos Chrysoulas. A scholar is included among the top collaborators of Christos Chrysoulas 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 Christos Chrysoulas. Christos Chrysoulas 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.
Ferrag, Mohamed Amine, Mohamed Chahine Ghanem, Iqbal H. Sarker, et al.. (2025). Generative AI and LLMs for Critical Infrastructure Protection: Evaluation Benchmarks, Agentic AI, Challenges, and Opportunities. SHILAP Revista de lepidopterología. 25(6). 1666–1666. 10 indexed citations
2.
Liu, Xiaodong, et al.. (2025). Enhancing Automotive Intrusion Detection Systems with Capability Hardware Enhanced RISC Instructions-Based Memory Protection. Electronics. 14(3). 474–474. 2 indexed citations
3.
Chrysoulas, Christos, et al.. (2024). Moving Healthcare AI Support Systems for Visually Detectable Diseases to Constrained Devices. Applied Sciences. 14(24). 11474–11474. 1 indexed citations
4.
Chrysoulas, Christos, et al.. (2023). Digital Twin-Empowered Smart Attack Detection System for 6G Edge of Things Networks. Edinburgh Napier Research Repository (Edinburgh Napier University). 178–183. 11 indexed citations
5.
Liu, Xiaodong, et al.. (2023). Explainable AI-Based DDOS Attack Identification Method for IoT Networks. Computers. 12(2). 32–32. 40 indexed citations
6.
Pitropakis, Nikolaos, et al.. (2023). Attacking Windows Hello for Business: Is It What We Were Promised?. Cryptography. 7(1). 9–9. 2 indexed citations
7.
Chrysoulas, Christos, et al.. (2023). Emotion Recognition on Social Media Using Natural Language Processing (NLP) Techniques. Edinburgh Napier Research Repository (Edinburgh Napier University). 113–118. 2 indexed citations
8.
Chrysoulas, Christos, et al.. (2023). Forensic Investigation Using RAM Analysis on the Hadoop Distributed File System. Edinburgh Napier Research Repository (Edinburgh Napier University). 1–6.
9.
Lo, Owen, William J. Buchanan, Sarwar Sayeed, et al.. (2022). GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture. Sensors. 22(6). 2291–2291. 14 indexed citations
10.
Chrysoulas, Christos, et al.. (2022). Using Social Media & Sentiment Analysis to Make Investment Decisions. Future Internet. 15(1). 5–5. 17 indexed citations
11.
Gallagher, Michael, Nikolaos Pitropakis, Christos Chrysoulas, et al.. (2022). Investigating machine learning attacks on financial time series models. Computers & Security. 123. 102933–102933. 9 indexed citations
12.
Papadopoulos, Pavlos, et al.. (2021). Launching Adversarial Attacks against Network Intrusion Detection Systems for IoT. SHILAP Revista de lepidopterología. 1(2). 252–273. 41 indexed citations
13.
14.
Müller, Lisa, et al.. (2020). A Traffic Analysis on Serverless Computing Based on the Example of a File Upload Stream on AWS Lambda. Big Data and Cognitive Computing. 4(4). 38–38. 5 indexed citations
15.
Chrysoulas, Christos, et al.. (2019). Conceptualising Green Awareness as Moderator in Technology Acceptance Model for Green IS/IT. Research Output (Edinburgh Napier University). 1–6. 3 indexed citations
16.
Tscheligi, Manfred, et al.. (2018). ProMe: A Mentoring Platform for Older Adults Using Machine Learning Techniques for Supporting the “Live and Learn” Concept. Mobile Information Systems. 2018. 1–8. 2 indexed citations
17.
Stergiou, Alexandros, et al.. (2018). Traffic Sign Recognition based on Synthesised Training Data. Big Data and Cognitive Computing. 2(3). 19–19. 7 indexed citations
18.
Chrysoulas, Christos & Maria Fasli. (2017). Towards an adaptive SOA-based QoS & Demand-Response Provisioning Architecture for the Smart Grid. Journal of Communications Software and Systems. 13(2). 77–77. 1 indexed citations
19.
Chrysoulas, Christos, et al.. (2015). Multiply and conquer: A replication framework for building fault tolerant industrial applications. Research Open (London South Bank University). 1. 1342–1347. 4 indexed citations
20.
Ferreira, Luís Lino, Laurynas Šikšnys, Petr Stluka, et al.. (2014). Arrowhead compliant virtual market of energy. VBN Forskningsportal (Aalborg Universitet). 16 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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