Ngaira Mandela

440 total citations · 3 hit papers
17 papers, 384 citations indexed

About

Ngaira Mandela is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Ngaira Mandela has authored 17 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 8 papers in Molecular Biology and 8 papers in Electrical and Electronic Engineering. Recurrent topics in Ngaira Mandela's work include Advanced biosensing and bioanalysis techniques (8 papers), Plasmonic and Surface Plasmon Research (5 papers) and Terahertz technology and applications (5 papers). Ngaira Mandela is often cited by papers focused on Advanced biosensing and bioanalysis techniques (8 papers), Plasmonic and Surface Plasmon Research (5 papers) and Terahertz technology and applications (5 papers). Ngaira Mandela collaborates with scholars based in India, China and Finland. Ngaira Mandela's co-authors include Jacob Wekalao, Shobhit K. Patel, Fahad Ahmed Al-Zahrani, Abdullah Baz, Truong Khang Nguyen, S. Anbazhagan, U. Arun Kumar, V. Sujatha, Daniele Ravì and Ahmed Nabih Zaki Rashed and has published in prestigious journals such as Chemical Engineering Journal, Measurement and Diamond and Related Materials.

In The Last Decade

Ngaira Mandela

16 papers receiving 373 citations

Hit Papers

Enhanced sensitivity and optimization with machine learni... 2025 2026 2025 2025 2025 5 10 15 20 25

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ngaira Mandela India 14 279 233 153 103 38 17 384
Reefat Inum Bangladesh 8 243 0.9× 112 0.5× 152 1.0× 53 0.5× 41 1.1× 16 325
Jhonattan C. Ramírez Brazil 10 169 0.6× 93 0.4× 289 1.9× 35 0.3× 40 1.1× 28 412
Li-Ye Niu China 8 228 0.8× 86 0.4× 250 1.6× 46 0.4× 17 0.4× 11 343
Qilin Duan China 7 182 0.7× 67 0.3× 85 0.6× 157 1.5× 13 0.3× 18 287
David Fariña Spain 8 246 0.9× 79 0.3× 212 1.4× 54 0.5× 22 0.6× 15 352
Sangyeop Lee Japan 11 172 0.6× 73 0.3× 566 3.7× 52 0.5× 22 0.6× 55 702
Punnag Padhy United States 13 342 1.2× 102 0.4× 196 1.3× 123 1.2× 35 0.9× 23 425
Zehang Gao China 11 213 0.8× 106 0.5× 73 0.5× 18 0.2× 8 0.2× 23 292
Yuan-Deng Su Taiwan 10 320 1.1× 147 0.6× 103 0.7× 61 0.6× 22 0.6× 14 396
Rahul Das India 10 198 0.7× 93 0.4× 286 1.9× 10 0.1× 51 1.3× 33 429

Countries citing papers authored by Ngaira Mandela

Since Specialization
Citations

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

Fields of papers citing papers by Ngaira Mandela

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ngaira Mandela

This figure shows the co-authorship network connecting the top 25 collaborators of Ngaira Mandela. A scholar is included among the top collaborators of Ngaira Mandela 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 Ngaira Mandela. Ngaira Mandela is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Wekalao, Jacob, et al.. (2025). Ultra-sensitive Terahertz Hemoglobin Detection Using Graphene-Enhanced Metasurface Surface Plasmon Resonance Biosensors Optimized with K-Nearest Neighbors Regression Machine Learning. Plasmonics. 21(1). 177–192. 24 indexed citations breakdown →
3.
Anbazhagan, S., et al.. (2025). Machine learning-enhanced high-sensitivity hemoglobin detection using a Kretschmann-based SPR biosensor with optimized copper and silver layers. Chemical Engineering Journal. 524. 169485–169485. 3 indexed citations
4.
Wekalao, Jacob, Ngaira Mandela, Shobhit K. Patel, Truong Khang Nguyen, & Fahad Ahmed Al-Zahrani. (2025). Enhanced sensitivity and optimization with machine learning for gold-graphene encoded metasurface sensor applied for haemoglobin detection. Measurement. 248. 116883–116883. 26 indexed citations breakdown →
5.
Anbazhagan, S., et al.. (2025). AI-Augmented Terahertz Biosensor with MXene–Graphene Architecture for Sensitive Sperm Concentration Detection. Plasmonics. 20(11). 10573–10587. 12 indexed citations
6.
Wekalao, Jacob, et al.. (2025). Advanced plasmonic sensor design for sperm detection with machine learning-driven optimization. Optical and Quantum Electronics. 57(5). 14 indexed citations
7.
Wekalao, Jacob, et al.. (2025). Machine learning-optimized titanium-based broadband absorber with high-efficiency performance across visible and infrared wavelengths. Optical and Quantum Electronics. 57(2). 23 indexed citations breakdown →
8.
Patel, Shobhit K., Jacob Wekalao, Ngaira Mandela, & Fahad Ahmed Al-Zahrani. (2024). Design of encoded graphene-gold metasurface-based circular ring and square sensors for brain tumor detection and optimization using XGBoost algorithm. Diamond and Related Materials. 148. 111439–111439. 42 indexed citations
12.
Baz, Abdullah, Jacob Wekalao, Ngaira Mandela, & Shobhit K. Patel. (2024). Design and Performance Evaluation of Machine Learning-Based Terahertz Metasurface Chemical Sensor. IEEE Transactions on NanoBioscience. 24(2). 128–135. 30 indexed citations
16.

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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