Eleni Mangina

4.0k total citations · 2 hit papers
132 papers, 2.6k citations indexed

About

Eleni Mangina is a scholar working on Computer Vision and Pattern Recognition, Building and Construction and Electrical and Electronic Engineering. According to data from OpenAlex, Eleni Mangina has authored 132 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 27 papers in Building and Construction and 19 papers in Electrical and Electronic Engineering. Recurrent topics in Eleni Mangina's work include Augmented Reality Applications (30 papers), Building Energy and Comfort Optimization (26 papers) and Virtual Reality Applications and Impacts (16 papers). Eleni Mangina is often cited by papers focused on Augmented Reality Applications (30 papers), Building Energy and Comfort Optimization (26 papers) and Virtual Reality Applications and Impacts (16 papers). Eleni Mangina collaborates with scholars based in Ireland, United Kingdom and Italy. Eleni Mangina's co-authors include Donal Finn, Mohammad Haris Shamsi, James O’Donnell, Usman Ali, Cathal Hoare, Abraham G. Campbell, Fabiano Pallonetto, Anjukan Kathirgamanathan, Debra F. Laefer and Маттиа Де Роса and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and Journal of Cleaner Production.

In The Last Decade

Eleni Mangina

123 papers receiving 2.5k citations

Hit Papers

Review of urban building energy modeling (UBEM) approache... 2021 2026 2022 2024 2021 2024 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eleni Mangina Ireland 27 906 629 483 383 270 132 2.6k
Farzad Pour Rahimian United Kingdom 30 2.0k 2.3× 347 0.6× 401 0.8× 217 0.6× 191 0.7× 126 3.1k
Lúcio Soibelman United States 36 1.7k 1.9× 747 1.2× 266 0.6× 382 1.0× 182 0.7× 144 4.0k
Mikkel Baun Kjærgaard Denmark 24 1.2k 1.4× 1.1k 1.8× 400 0.8× 774 2.0× 184 0.7× 130 3.2k
Carol C. Menassa United States 35 2.8k 3.1× 329 0.5× 618 1.3× 229 0.6× 333 1.2× 138 4.2k
Rajesh Singh India 34 298 0.3× 1.0k 1.6× 254 0.5× 247 0.6× 401 1.5× 411 4.7k
Marco Pritoni United States 21 1.0k 1.1× 631 1.0× 233 0.5× 109 0.3× 267 1.0× 74 1.7k
Yuvraj Agarwal United States 33 970 1.1× 1.8k 2.9× 227 0.5× 621 1.6× 164 0.6× 104 4.5k
Ying Tang United States 34 282 0.3× 589 0.9× 322 0.7× 149 0.4× 763 2.8× 170 3.6k
Flora D. Salim Australia 27 762 0.8× 400 0.6× 277 0.6× 468 1.2× 40 0.1× 199 2.6k
Won‐Hwa Hong South Korea 26 726 0.8× 245 0.4× 338 0.7× 168 0.4× 94 0.3× 191 2.5k

Countries citing papers authored by Eleni Mangina

Since Specialization
Citations

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

Fields of papers citing papers by Eleni Mangina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eleni Mangina

This figure shows the co-authorship network connecting the top 25 collaborators of Eleni Mangina. A scholar is included among the top collaborators of Eleni Mangina 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 Eleni Mangina. Eleni Mangina 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.
Afzal, Muhammad Zeshan, Didier Stricker, Peter Eisert, et al.. (2025). Next Generation XR Systems—Large Language Models Meet Augmented and Virtual Reality. IEEE Computer Graphics and Applications. 45(1). 43–55. 4 indexed citations
2.
O’Grady, Michael J. & Eleni Mangina. (2024). Citizen scientists—practices, observations, and experience. Humanities and Social Sciences Communications. 11(1). 2 indexed citations
3.
Pallonetto, Fabiano, et al.. (2023). A Bayesian deep-learning framework for assessing the energy flexibility of residential buildings with multicomponent energy systems. Applied Energy. 348. 121576–121576. 14 indexed citations
4.
Cheng, Yunlong, et al.. (2023). A Bayesian deep learning methodology with uncertainty quantification for harnessing the residential building heating system energy flexibility. Building Simulation Conference proceedings. 18. 1 indexed citations
5.
Grafe, Silke, et al.. (2023). AUGMENTED REALITY IN PRIMARY EDUCATION: TEACHERS’ PERSPECTIVES ON POTENTIAL AND BARRIERS. INTED proceedings. 1. 1283–1292. 2 indexed citations
6.
Rafferty, Anthony R., et al.. (2023). Virtual reality learning: A randomized controlled trial assessing medical student knowledge of fetal development. International Journal of Gynecology & Obstetrics. 162(1). 292–299. 9 indexed citations
7.
Mangina, Eleni, et al.. (2023). Robotics in the Context of Primary and Preschool Education: A Scoping Review. IEEE Transactions on Learning Technologies. 17. 342–363. 12 indexed citations
8.
Kumar, Arun, et al.. (2023). Mixed Reality Applications in Tertiary Veterinary Education: A Systematic Review. 241–264. 3 indexed citations
10.
Tosto, Crispino, et al.. (2022). The Potential of AR Solutions for Behavioral Learning: A Scoping Review. Computers. 11(6). 87–87. 2 indexed citations
11.
Mangina, Eleni, et al.. (2021). REVIEW OF LEARNING ANALYTICS AND EDUCATIONAL DATA MINING APPLICATIONS. EDULEARN proceedings. 5 indexed citations
12.
Ali, Usman, et al.. (2020). A data-driven approach to optimize urban scale energy retrofit decisions for residential buildings. Applied Energy. 267. 114861–114861. 99 indexed citations
13.
Chiazzese, Giuseppe, et al.. (2019). The BASE system: a Digital Behavioral Assessment tool for school environment. EdMedia + Innovate Learning. 349–354. 2 indexed citations
14.
Pallonetto, Fabiano, Eleni Mangina, Federico Milano, & Donal Finn. (2019). SimApi, a smartgrid co-simulation software platform for benchmarking building control algorithms. SoftwareX. 9. 271–281. 26 indexed citations
15.
Hasegawa, Tomonori, et al.. (2018). Words Worth Learning - Augmented Literacy Content for ADHD Students. 1–9. 13 indexed citations
16.
Mangina, Eleni, et al.. (2015). Selection of Input Variables for a Thermal Load Prediction Model. Energy Procedia. 78. 3001–3006. 9 indexed citations
17.
Doukakis, Spyridon, et al.. (2010). Researching technological and mathematical knowledge (TCK) of undergraduate primary teachers. International Journal of Technology Enhanced Learning. 2(4). 372–372. 6 indexed citations
18.
Mangina, Eleni, et al.. (2007). SENEgaL: A GA System for Generating Rhythms of Western Africa.. International MultiConference of Engineers and Computer Scientists. 25–30. 1 indexed citations
19.
Monahan, Teresa, Gavin McArdle, Michela Bertolotto, & Eleni Mangina. (2005). 3D User Interfaces and Multimedia in E-Learning. EdMedia: World Conference on Educational Media and Technology. 2005(1). 4306–4313. 1 indexed citations
20.
Sas, Corina, et al.. (2003). Modelling User Navigation. Research Repository UCD (University College Dublin). 3(2). 582–588. 1 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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