Mohd Nasir Taib

3.9k total citations
394 papers, 2.9k citations indexed

About

Mohd Nasir Taib is a scholar working on Cognitive Neuroscience, Control and Systems Engineering and Organic Chemistry. According to data from OpenAlex, Mohd Nasir Taib has authored 394 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Cognitive Neuroscience, 77 papers in Control and Systems Engineering and 59 papers in Organic Chemistry. Recurrent topics in Mohd Nasir Taib's work include EEG and Brain-Computer Interfaces (67 papers), Wood and Agarwood Research (59 papers) and Advanced Control Systems Optimization (51 papers). Mohd Nasir Taib is often cited by papers focused on EEG and Brain-Computer Interfaces (67 papers), Wood and Agarwood Research (59 papers) and Advanced Control Systems Optimization (51 papers). Mohd Nasir Taib collaborates with scholars based in Malaysia, United Kingdom and United States. Mohd Nasir Taib's co-authors include Mohd Hezri Fazalul Rahiman, Fatimah Ibrahim, Norizam Sulaiman, Zunairah Hj Murat, Sahrim Lias, Nurlaila Ismail, Musa Ahmad, Ahmad Ihsan Mohd Yassin, Tarig Faisal and Siti Armiza Mohd Aris and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.

In The Last Decade

Mohd Nasir Taib

373 papers receiving 2.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mohd Nasir Taib Malaysia 24 536 478 383 376 341 394 2.9k
Geng Yang China 37 549 1.0× 852 1.8× 394 1.0× 2.1k 5.6× 341 1.0× 166 4.5k
R. S. Anand India 30 496 0.9× 743 1.6× 197 0.5× 258 0.7× 338 1.0× 183 3.0k
Chia‐Hung Lin Taiwan 27 236 0.4× 1.0k 2.2× 552 1.4× 657 1.7× 339 1.0× 189 3.2k
Guang Li China 27 179 0.3× 1.0k 2.2× 153 0.4× 925 2.5× 246 0.7× 194 2.9k
Liang Zou China 27 540 1.0× 305 0.6× 81 0.2× 722 1.9× 380 1.1× 123 2.9k
Goutam Saha India 30 442 0.8× 196 0.4× 151 0.4× 313 0.8× 908 2.7× 146 3.0k
Tao Liu China 33 307 0.6× 557 1.2× 389 1.0× 2.6k 6.8× 215 0.6× 260 4.4k
Hadi Heidari United Kingdom 33 519 1.0× 2.1k 4.3× 88 0.2× 2.2k 5.7× 280 0.8× 275 4.4k
Amy Loutfi Sweden 27 404 0.8× 578 1.2× 420 1.1× 1.4k 3.8× 885 2.6× 149 4.4k

Countries citing papers authored by Mohd Nasir Taib

Since Specialization
Citations

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

Fields of papers citing papers by Mohd Nasir Taib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mohd Nasir Taib. 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 Mohd Nasir Taib. The network helps show where Mohd Nasir Taib may publish in the future.

Co-authorship network of co-authors of Mohd Nasir Taib

This figure shows the co-authorship network connecting the top 25 collaborators of Mohd Nasir Taib. A scholar is included among the top collaborators of Mohd Nasir Taib 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 Mohd Nasir Taib. Mohd Nasir Taib 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.
Taib, Mohd Nasir, et al.. (2024). Pyramidal microwave absorbers: leveraging ceramic materials for improved electromagnetic interference shielding. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 15(1). 435–435.
2.
Tajuddin, Saıful Nizam, et al.. (2024). Agarwood oil quality identification using artificial neural network modelling for five grades. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(2). 2254–2254. 1 indexed citations
3.
Taib, Mohd Nasir, et al.. (2024). Feature selection techniques and classification algorithms for student performance classification: a review. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 14(3). 3230–3230.
4.
5.
Yusoff, Zakiah Mohd, et al.. (2024). Accurate Agarwood Oil Quality Determination: A Breakthrough With Artificial Neural Networks and the Levenberg- Marquardt Algorithm. IEEE Access. 12. 50389–50403. 2 indexed citations
6.
Taib, Mohd Nasir, et al.. (2023). Utilization of Carbon Biomass as an Absorbing Material in Anti-Microwave Brick Walls Manufacturing. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 344. 109–114. 1 indexed citations
7.
Ismail, Nurlaila, et al.. (2022). Boxplot analysis of 4 grade agarwood essential oil for various grades. Indonesian Journal of Electrical Engineering and Computer Science. 29(1). 238–238. 1 indexed citations
8.
Yusoff, Zakiah Mohd, et al.. (2022). A Ppreliminary study on the intelligent model of k-nearest neighbor for agarwood oil quality grading. Indonesian Journal of Electrical Engineering and Computer Science. 27(3). 1358–1358. 1 indexed citations
9.
Ismail, Nurlaila, et al.. (2022). Stepwise regression of agarwood oil significant chemical compounds into four quality differentiation. Indonesian Journal of Electrical Engineering and Computer Science. 29(2). 735–735. 1 indexed citations
10.
Ismail, Nurlaila, et al.. (2022). Preliminary study on agarwood essential oil and its classification techniques using machine learning. Indonesian Journal of Electrical Engineering and Computer Science. 29(2). 753–753.
11.
Rahiman, Mohd Hezri Fazalul, et al.. (2022). Intelligent grading of kaffir lime oil quality using non-linear support vector machine. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 12(6). 6716–6716. 1 indexed citations
12.
13.
Yassin, Ahmad Ihsan Mohd, Mohd Nasir Taib, & Ramli Adnan. (2014). Extended analysis of bpso structure selection of nonlinear auto-regressive model with exogenous inputs ( NARX) of direct current motor. SHILAP Revista de lepidopterología. 9 indexed citations
14.
Taib, Mohd Nasir, et al.. (2014). Back calculation Anti Windup PID controller on Several Well-Known Tuning Method for Glycerin Bleaching Process Temperature Regulation. International Journal of Integrated Engineering. 6(3). 6 indexed citations
15.
Taib, Mohd Nasir, et al.. (2011). Analysis of parallel multicore performance on sobel edge detector. Annual Conference on Computers. 313–318. 7 indexed citations
16.
Rahim, Herlina Abdul, et al.. (2011). Bioelectrical Impedance Analysis Device: Measurement of Bioelectrical Tissue Conductivity in Dengue Patients. SHILAP Revista de lepidopterología. 1 indexed citations
17.
18.
Ibrahim, Imran Mohd, et al.. (2009). Development of An Indigenous Microwave Absorber. Journal of Telecommunication Electronic and Computer Engineering (JTEC). 1(1). 17–23. 3 indexed citations
19.
Rahiman, Mohd Hezri Fazalul, et al.. (2007). Assessment of ARMAX Structure as a Global Model for Self-Refilling Steam Distillation Essential Oil Extraction System.. 274–279. 1 indexed citations
20.
Ibrahim, Fatimah, Noor Azina Ismail, Mohd Nasir Taib, & Wan Abu Bakar Wan Abas. (2004). Modeling of hemoglobin in dengue fever and dengue hemorrhagic fever using bioelectrical impedance. Physiological Measurement. 25(3). 607–615. 22 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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