Vassilis Charissis

1.5k total citations · 1 hit paper
50 papers, 837 citations indexed

About

Vassilis Charissis is a scholar working on Social Psychology, Automotive Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vassilis Charissis has authored 50 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Social Psychology, 12 papers in Automotive Engineering and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vassilis Charissis's work include Human-Automation Interaction and Safety (18 papers), Augmented Reality Applications (10 papers) and Virtual Reality Applications and Impacts (10 papers). Vassilis Charissis is often cited by papers focused on Human-Automation Interaction and Safety (18 papers), Augmented Reality Applications (10 papers) and Virtual Reality Applications and Impacts (10 papers). Vassilis Charissis collaborates with scholars based in United Kingdom, Cyprus and Jordan. Vassilis Charissis's co-authors include Dimitris Drikakis, Stylianos Papanastasiou, Michael Frank, Huaglory Tianfield, David K. Harrison, Warren Chan, Salsabeel F. M. Alfalah, Jannat Falah, Martin Naef and Tasneem Alfalah and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Vassilis Charissis

47 papers receiving 806 citations

Hit Papers

A stacking ensemble of deep learning models for IoT intru... 2023 2026 2024 2025 2023 25 50 75

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vassilis Charissis United Kingdom 15 235 223 192 138 134 50 837
Pradipta Biswas India 20 512 2.2× 239 1.1× 223 1.2× 287 2.1× 158 1.2× 128 1.5k
Clemens Holzmann Austria 17 326 1.4× 220 1.0× 780 4.1× 231 1.7× 244 1.8× 53 1.2k
Alexey Kashevnik Russia 16 57 0.2× 162 0.7× 229 1.2× 151 1.1× 162 1.2× 158 1.1k
Jill L. Drury United States 19 388 1.7× 835 3.7× 349 1.8× 79 0.6× 272 2.0× 68 1.7k
Stephen M. Casner United States 10 67 0.3× 399 1.8× 219 1.1× 46 0.3× 95 0.7× 27 802
Rodrigo Ventura Portugal 16 135 0.6× 174 0.8× 386 2.0× 75 0.5× 213 1.6× 104 1.1k
Shahina Begum Sweden 19 59 0.3× 188 0.8× 100 0.5× 56 0.4× 493 3.7× 89 1.3k
Mobyen Uddin Ahmed Sweden 17 48 0.2× 158 0.7× 98 0.5× 55 0.4× 360 2.7× 64 1.1k
Marcos Fernández Spain 16 167 0.7× 62 0.3× 250 1.3× 113 0.8× 34 0.3× 89 841
Derek Brock United States 11 248 1.1× 380 1.7× 196 1.0× 32 0.2× 243 1.8× 40 1.1k

Countries citing papers authored by Vassilis Charissis

Since Specialization
Citations

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

Fields of papers citing papers by Vassilis Charissis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vassilis Charissis

This figure shows the co-authorship network connecting the top 25 collaborators of Vassilis Charissis. A scholar is included among the top collaborators of Vassilis Charissis 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 Vassilis Charissis. Vassilis Charissis 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.
Tianfield, Huaglory, et al.. (2023). Federated Learning for IoT Intrusion Detection. SHILAP Revista de lepidopterología. 4(3). 509–530. 40 indexed citations
2.
Tianfield, Huaglory, et al.. (2023). A stacking ensemble of deep learning models for IoT intrusion detection. Knowledge-Based Systems. 279. 110941–110941. 94 indexed citations breakdown →
3.
Charissis, Vassilis, et al.. (2022). Improving User Experience and Communication of Digitally Enhanced Advanced Services (DEAS) Offers in Manufacturing Sector. Multimodal Technologies and Interaction. 6(3). 21–21. 3 indexed citations
4.
Abuhammad, Areej, et al.. (2021). “MedChemVR”: A Virtual Reality Game to Enhance Medicinal Chemistry Education. Multimodal Technologies and Interaction. 5(3). 10–10. 19 indexed citations
5.
Charissis, Vassilis, et al.. (2021). Employing Emerging Technologies to Develop and Evaluate In-Vehicle Intelligent Systems for Driver Support: Infotainment AR HUD Case Study. Applied Sciences. 11(4). 1397–1397. 36 indexed citations
6.
Falah, Jannat, et al.. (2021). Identifying the Characteristics of Virtual Reality Gamification for Complex Educational Topics. Multimodal Technologies and Interaction. 5(9). 53–53. 28 indexed citations
7.
Charissis, Vassilis, et al.. (2021). Virtual Reality for Simulation and Evaluation: Technology Acceptance Models for Automotive Consumer Electronics. Lecture notes in computer science. 219–234. 1 indexed citations
8.
Frank, Michael, Dimitris Drikakis, & Vassilis Charissis. (2020). Machine-Learning Methods for Computational Science and Engineering. Computation. 8(1). 15–15. 141 indexed citations
9.
Charissis, Vassilis, et al.. (2020). Improving Emergency Vehicles’ Response Times with the Use of Augmented Reality and Artificial Intelligence. Lecture notes in computer science. 24–39.
10.
Charissis, Vassilis, et al.. (2019). Exploring the Development Requirements for Virtual Reality Gait Analysis. Multimodal Technologies and Interaction. 3(2). 24–24. 4 indexed citations
11.
Charissis, Vassilis, et al.. (2019). Reducing Driver Distraction by Utilizing Augmented Reality Head-Up Display System for Rear Passengers. ResearchOnline. 1–6. 10 indexed citations
12.
Charissis, Vassilis, et al.. (2019). Mitigating Driver's Distraction: Automotive Head-Up Display and Gesture Recognition System. IEEE Consumer Electronics Magazine. 8(5). 79–85. 25 indexed citations
13.
Falah, Jannat, Tasneem Alfalah, Salsabeel F. M. Alfalah, et al.. (2014). Virtual Reality medical training system for anatomy education. ResearchOnline. 752–758. 88 indexed citations
14.
Charissis, Vassilis. (2014). Enhancing human responses through augmented reality Head-Up Display in vehicular environment. ResearchOnline (Glasgow Caledonian University). 1–6. 8 indexed citations
15.
Charissis, Vassilis, et al.. (2011). Virtual reality environment as knowledge enhancement tool for musculoskeletal pathology. 54–63. 4 indexed citations
16.
Charissis, Vassilis, Martin Naef, Stylianos Papanastasiou, & George S. Vlachos. (2008). Investigation of Users' Age and Driving Performance with the Use of Prototype Automotive HUD System. ResearchOnline. 3795–3804. 1 indexed citations
17.
Charissis, Vassilis, et al.. (2008). On the Impact of User’s Computer Knowledge on Driving Simulation Test Results- HUD Simulation Case Study. ResearchOnline.
18.
Charissis, Vassilis, et al.. (2007). AI for driving simulator vehicles and accident events. ResearchOnline (Glasgow Caledonian University). 11(2). 133–138. 2 indexed citations
19.
Charissis, Vassilis, et al.. (2007). Prototype System for Virtual Reality Simulation and Training: Initial Implementation for Large printing Units. ResearchOnline. 1 indexed citations
20.
Charissis, Vassilis, et al.. (2006). Driving Simulator for Head-Up Display Evaluation: Driver’s Response Time on Accident Simulation Cases. ResearchOnline. 7 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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