Fadi Al Machot

1.3k total citations
59 papers, 801 citations indexed

About

Fadi Al Machot is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Experimental and Cognitive Psychology. According to data from OpenAlex, Fadi Al Machot has authored 59 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Computer Vision and Pattern Recognition, 19 papers in Artificial Intelligence and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Fadi Al Machot's work include Context-Aware Activity Recognition Systems (13 papers), Emotion and Mood Recognition (11 papers) and EEG and Brain-Computer Interfaces (9 papers). Fadi Al Machot is often cited by papers focused on Context-Aware Activity Recognition Systems (13 papers), Emotion and Mood Recognition (11 papers) and EEG and Brain-Computer Interfaces (9 papers). Fadi Al Machot collaborates with scholars based in Austria, Norway and Germany. Fadi Al Machot's co-authors include Kyandoghere Kyamakya, Mouhannad Ali, Heinrich C. Mayr, Ahmad Haj Mosa, Mohib Ullah, Wolfgang Klas, Habib Ullah, Muhammad Sajjad, Faouzi Alaya Cheikh and Habib Khan and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, IEEE Access and Sensors.

In The Last Decade

Fadi Al Machot

56 papers receiving 771 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fadi Al Machot Austria 16 327 267 213 168 121 59 801
Uma Shanker Tiwary India 17 348 1.1× 280 1.0× 291 1.4× 197 1.2× 65 0.5× 73 1.1k
Maja Stikic United States 13 413 1.3× 112 0.4× 193 0.9× 190 1.1× 181 1.5× 17 839
Yun Luo China 10 188 0.6× 174 0.7× 314 1.5× 288 1.7× 272 2.2× 35 1.1k
Silvia Santini Switzerland 17 135 0.4× 121 0.5× 167 0.8× 73 0.4× 292 2.4× 61 853
Wai-Chi Fang Taiwan 16 292 0.9× 96 0.4× 248 1.2× 69 0.4× 101 0.8× 126 921
Patrícia Bota Portugal 8 104 0.3× 214 0.8× 187 0.9× 120 0.7× 33 0.3× 18 658
Eman M. G. Younis Egypt 14 105 0.3× 171 0.6× 102 0.5× 326 1.9× 50 0.4× 35 819
Narit Hnoohom Thailand 14 377 1.2× 105 0.4× 58 0.3× 103 0.6× 116 1.0× 84 725
Kwang-Eun Ko South Korea 9 199 0.6× 94 0.4× 138 0.6× 130 0.8× 50 0.4× 68 538
Meihong Yang China 10 85 0.3× 176 0.7× 200 0.9× 107 0.6× 94 0.8× 43 566

Countries citing papers authored by Fadi Al Machot

Since Specialization
Citations

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

Fields of papers citing papers by Fadi Al Machot

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fadi Al Machot. 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 Fadi Al Machot. The network helps show where Fadi Al Machot may publish in the future.

Co-authorship network of co-authors of Fadi Al Machot

This figure shows the co-authorship network connecting the top 25 collaborators of Fadi Al Machot. A scholar is included among the top collaborators of Fadi Al Machot 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 Fadi Al Machot. Fadi Al Machot 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.
Mian, Haris Hameed, Fadi Al Machot, Himayat Ullah, Arvind Keprate, & Muhammad Shoaib Siddiqui. (2025). Advances in computational intelligence for floating offshore wind turbines aerodynamics: Current state review and future potential. Renewable and Sustainable Energy Reviews. 224. 116098–116098. 3 indexed citations
5.
Khan, Habib, Mohib Ullah, Fadi Al Machot, Faouzi Alaya Cheikh, & Muhammad Sajjad. (2023). Deep learning based speech emotion recognition for Parkinson patient. Electronic Imaging. 35(9). 298. 18 indexed citations
9.
Demrozi, Florenc, et al.. (2023). A Comprehensive Review of Automated Data Annotation Techniques in Human Activity Recognition. arXiv (Cornell University). 2 indexed citations
10.
Machot, Fadi Al, et al.. (2023). A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy. Sensors. 23(6). 2989–2989. 5 indexed citations
11.
Machot, Fadi Al, Mohib Ullah, & Habib Ullah. (2022). HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning. Journal of Imaging. 8(6). 171–171. 5 indexed citations
12.
Hoffmann, Nils, Gerhard Mayer, Canan Has, et al.. (2022). A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics. Metabolites. 12(7). 584–584. 17 indexed citations
13.
Venkatachalam, K., Pavel Trojovský, Fadi Al Machot, et al.. (2021). Sentimental Analysis of COVID-19 Related Messages in Social Networks by Involving an N-Gram Stacked Autoencoder Integrated in an Ensemble Learning Scheme. Sensors. 21(22). 7582–7582. 22 indexed citations
14.
Machot, Fadi Al, et al.. (2020). Zero-Shot Human Activity Recognition Using Non-Visual Sensors. Sensors. 20(3). 825–825. 25 indexed citations
16.
Michael, Judith, et al.. (2018). The HBMS Story - Past and Future of an Active Assistance Approach.. 13. 345–370. 2 indexed citations
17.
Ali, Mouhannad, Ahmad Haj Mosa, Fadi Al Machot, & Kyandoghere Kyamakya. (2017). Emotion Recognition Involving Physiological and Speech Signals: A Comprehensive Review. Studies in systems, decision and control. 287–302. 37 indexed citations
18.
Ali, Mouhannad, Ahmad Haj Mosa, Fadi Al Machot, & Kyandoghere Kyamakya. (2016). EEG-based emotion recognition approach for e-healthcare applications. 946–950. 67 indexed citations
19.
Machot, Fadi Al & Heinrich C. Mayr. (2016). Improving Human Activity Recognition by Smart Windowing and Spatio-Temporal Feature Analysis. 1–7. 11 indexed citations
20.
Kyamakya, Kyandoghere, et al.. (2010). A Novel Support Vector Machine Classification Approach Involving CNN for Raindrop Detection. 2(2). 52–65. 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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