Simon G. Fabri

2.8k total citations · 1 hit paper
78 papers, 1.9k citations indexed

About

Simon G. Fabri is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Simon G. Fabri has authored 78 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Control and Systems Engineering, 18 papers in Computer Vision and Pattern Recognition and 17 papers in Cognitive Neuroscience. Recurrent topics in Simon G. Fabri's work include EEG and Brain-Computer Interfaces (14 papers), Adaptive Control of Nonlinear Systems (13 papers) and Blind Source Separation Techniques (13 papers). Simon G. Fabri is often cited by papers focused on EEG and Brain-Computer Interfaces (14 papers), Adaptive Control of Nonlinear Systems (13 papers) and Blind Source Separation Techniques (13 papers). Simon G. Fabri collaborates with scholars based in Malta, United Kingdom and Greece. Simon G. Fabri's co-authors include Visakan Kadirkamanathan, Tracey Camilleri, Joseph Muscat, Bart Vanrumste, Tracey Cassar, Michalis Zervakis, Vangelis Sakkalis, Petros Xanthopoulos, Marvin K. Bugeja and Kenneth P. Camilleri and has published in prestigious journals such as Automatica, Sensors and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Simon G. Fabri

73 papers receiving 1.8k citations

Hit Papers

Review on solving the inverse problem in EEG source analysis 2008 2026 2014 2020 2008 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Simon G. Fabri Malta 14 993 472 254 243 191 78 1.9k
Zhuliang Yu China 23 966 1.0× 412 0.9× 294 1.2× 217 0.9× 93 0.5× 86 1.9k
Jordi Solé‐Casals Spain 24 852 0.9× 206 0.4× 279 1.1× 294 1.2× 101 0.5× 126 1.8k
Selin Aviyente United States 24 640 0.6× 900 1.9× 248 1.0× 246 1.0× 178 0.9× 166 2.5k
Ana Maria Tomé Portugal 21 468 0.5× 221 0.5× 271 1.1× 326 1.3× 104 0.5× 136 1.5k
Sanqing Hu China 23 935 0.9× 177 0.4× 375 1.5× 167 0.7× 64 0.3× 71 2.0k
Aydın Akan Türkiye 25 1.0k 1.0× 217 0.5× 360 1.4× 462 1.9× 201 1.1× 249 2.5k
G. Castellanos-Domínguez Colombia 20 481 0.5× 222 0.5× 471 1.9× 490 2.0× 60 0.3× 195 1.8k
Diego Liberati Italy 17 761 0.8× 522 1.1× 225 0.9× 223 0.9× 54 0.3× 57 2.2k
Rajesh Kumar Tripathy India 31 1.3k 1.3× 214 0.5× 253 1.0× 516 2.1× 158 0.8× 106 2.8k
Abhijit Bhattacharyya India 16 995 1.0× 111 0.2× 245 1.0× 558 2.3× 162 0.8× 37 1.5k

Countries citing papers authored by Simon G. Fabri

Since Specialization
Citations

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

Fields of papers citing papers by Simon G. Fabri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Simon G. Fabri. 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 Simon G. Fabri. The network helps show where Simon G. Fabri may publish in the future.

Co-authorship network of co-authors of Simon G. Fabri

This figure shows the co-authorship network connecting the top 25 collaborators of Simon G. Fabri. A scholar is included among the top collaborators of Simon G. Fabri 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 Simon G. Fabri. Simon G. Fabri 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.
Padfield, Natasha, et al.. (2023). BCI-controlled wheelchairs: end-users’ perceptions, needs, and expectations, an interview-based study. Disability and Rehabilitation Assistive Technology. 19(4). 1539–1551. 6 indexed citations
2.
Fabri, Simon G., et al.. (2023). Mapping, Localization and Navigation for an Assistive Mobile Robot in a Robot-Inclusive Space. OAR@UM (University of Malta). 172–179.
3.
Padfield, Natasha, Kenneth P. Camilleri, Tracey Camilleri, Simon G. Fabri, & Marvin K. Bugeja. (2022). A Comprehensive Review of Endogenous EEG-Based BCIs for Dynamic Device Control. Sensors. 22(15). 5802–5802. 35 indexed citations
4.
Fabri, Simon G., et al.. (2022). Bounding Box Matching: A Sparse Object-centric Correspondence Method for Stereo Vision. 223–227. 2 indexed citations
5.
Zarb, Francis, et al.. (2020). Computed tomography diagnostic reference levels for adult brain, chest and abdominal examinations: A systematic review. Radiography. 27(2). 673–681. 13 indexed citations
6.
Fabri, Simon G., Björn Wittenmark, & Marvin K. Bugeja. (2015). Dual adaptive extremum control of Hammerstein systems. International Journal of Control. 88(6). 1271–1286. 5 indexed citations
8.
Sakkalis, Vangelis, Tracey Cassar, Michalis Zervakis, et al.. (2010). A decision support framework for the discrimination of children with controlled epilepsy based on EEG analysis. Journal of NeuroEngineering and Rehabilitation. 7(1). 24–24. 5 indexed citations
9.
Cassar, Tracey, Joseph Muscat, Tracey Camilleri, et al.. (2008). Review on solving the inverse problem in EEG source analysis. Journal of NeuroEngineering and Rehabilitation. 5(1). 25–25. 779 indexed citations breakdown →
10.
Cassar, Tracey, Tracey Camilleri, Simon G. Fabri, Michalis Zervakis, & Sifis Micheloyannis. (2008). ARMA modeling for the diagnosis of controlled epileptic activity in young children. 2 indexed citations
11.
Camilleri, Kenneth P., et al.. (2008). Line tracking algorithm for scribbled drawings. OAR@UM (University of Malta). 1. 554–559. 3 indexed citations
12.
Jervis, B.W., Tracey Camilleri, Tracey Cassar, et al.. (2007). Applying ICA to Single Trial Auditory P300 and CNV Evoked Potentials to Provide Biomarkers. Research Explorer (The University of Manchester). 1 indexed citations
13.
Jervis, B.W., Tracey Camilleri, Tracey Cassar, et al.. (2007). Comparison of Single Trial Back Projected Independent Components with the Averaged Waveform for the Extraction of Biomarkers of Auditory P300 Evoked Potentials. Research Explorer (The University of Manchester). 1 indexed citations
14.
Jervis, B.W., Tracey Camilleri, Tracey Cassar, et al.. (2007). The independent components of auditory P300 and CNV evoked potentials derived from single-trial recordings. Physiological Measurement. 28(8). 745–771. 18 indexed citations
15.
Hallez, Hans, Bart Vanrumste, Joseph Muscat, et al.. (2007). Review on solving the forward problem in EEG source analysis. Journal of NeuroEngineering and Rehabilitation. 4(1). 46–46. 348 indexed citations
16.
Bugeja, Marvin K. & Simon G. Fabri. (2007). Multilayer perceptron dual adaptive control for mobile robots. OAR@UM (University of Malta). 21. 1–6. 2 indexed citations
17.
Kadirkamanathan, Visakan, Penglei Li, Mohamed Hisham Jaward, & Simon G. Fabri. (2002). A sequential Monte Carlo filtering approach to fault detection and isolation in nonlinear systems. 5. 4341–4346. 17 indexed citations
18.
Fabri, Simon G.. (1998). Adaptive gain scheduling with modular models. 1998. 44–48. 2 indexed citations
19.
Fabri, Simon G. & Visakan Kadirkamanathan. (1996). Dynamic structure neural networks for stable adaptive control of nonlinear systems. IEEE Transactions on Neural Networks. 7(5). 1151–1167. 156 indexed citations
20.
Fabri, Simon G., et al.. (1965). [Tonic crises in a case of multiple sclerosis].. PubMed. 35(2). 161–8. 2 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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