Maen Takruri

1.8k citations
54 papers · 1.1k indexed · 1 hit paper · h-index 17

Maen Takruri

50 papers receiving 1.1k citations

Hit Papers

Intelligent transportation systems for sustainable smart ...98202420262025255075

Peers

Maen Takruri
Comparison fields: 5 of 108
  • Human-Computer Interaction 97
  • Cognitive Neuroscience 326
  • Biomedical Engineering 485
  • Cellular and Molecular Neuroscience 195
  • Experimental and Cognitive Psychology 104
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Xianlun Tang China
Mustafa Suphi Erden United Kingdom
Qiang Gao China
Preeti Bajaj India
Md. Rashedul Islam Bangladesh
Anita Graser Germany
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Álvaro Araújo Spain
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Citations per field
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Citations per year

Countries citing papers authored by Maen Takruri

Since Specialization
Citations

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

Fields of papers citing papers by Maen Takruri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Maen Takruri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Maen Takruri Line = papers co-authored together Maen Takruri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 202416
4 20240
5 20234
6 20233
7 20230
8 202330
9 20231
10 20222
11 20220
12 20221
13 20217
14 202025
15 20191
16 20192
17
Fuzzy c means based hybrid classifiers for offline recognition of handwritten indian (Arabic) numerals
20157
18 2014158
19 20145
20
Data fusion techniques for auto calibration in wireless sensor networks
200924

About Maen Takruri

Maen Takruri is a scholar working on Artificial Intelligence, Global and Planetary Change and Building and Construction, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Impact of Light on Environment and Health (9 papers), IoT-based Smart Home Systems (8 papers), Energy Efficient Wireless Sensor Networks (7 papers), Photovoltaic System Optimization Techniques (6 papers), Solar Radiation and Photovoltaics (6 papers), Cutaneous Melanoma Detection and Management (6 papers), Distributed Sensor Networks and Detection Algorithms (6 papers) and Target Tracking and Data Fusion in Sensor Networks (5 papers). The work is most often cited by research in Human-Computer Interaction (97 citations), Cognitive Neuroscience (326 citations) and Biomedical Engineering (485 citations). Maen Takruri has collaborated with scholars based in United Arab Emirates, Australia and Jordan. Frequent co-authors include Sarath Kodagoda, Rami N. Khushaba, Gamini Dissanayake, Jaime Valls Miró, Mohammed Awad, Sufian A. Badawi, Subhash Challa, Hussain Attia, Adel Al-Jumaily and A.A. Omar. Their work appears in journals such as IEEE Access, International Journal of Sustainable Engineering, Transportation Engineering, Fire and IEEE Sensors Journal.

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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