David Ndzi

1.5k total citations
79 papers, 941 citations indexed

About

David Ndzi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Computer Vision and Pattern Recognition. According to data from OpenAlex, David Ndzi has authored 79 papers receiving a total of 941 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Electrical and Electronic Engineering, 18 papers in Computer Networks and Communications and 16 papers in Computer Vision and Pattern Recognition. Recurrent topics in David Ndzi's work include Millimeter-Wave Propagation and Modeling (13 papers), Precipitation Measurement and Analysis (10 papers) and Energy Efficient Wireless Sensor Networks (9 papers). David Ndzi is often cited by papers focused on Millimeter-Wave Propagation and Modeling (13 papers), Precipitation Measurement and Analysis (10 papers) and Energy Efficient Wireless Sensor Networks (9 papers). David Ndzi collaborates with scholars based in United Kingdom, Malaysia and Iraq. David Ndzi's co-authors include Latifah Munirah Kamarudin, Ammar Zakaria, Yanyan Yang, Ali Yeon Md Shakaff, John Chiverton, Guangguang Yang, Venetis Kanakaris, E. Vilar, Syed Muhammad Mamduh Syed Zakaria and David Sanders and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

David Ndzi

76 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Ndzi United Kingdom 16 349 298 179 128 99 79 941
V. Parthasarathy India 19 468 1.3× 224 0.8× 93 0.5× 118 0.9× 59 0.6× 106 1.1k
Pedro Henrique Gomes Brazil 13 462 1.3× 557 1.9× 106 0.6× 137 1.1× 117 1.2× 43 1.1k
Xu Yang Macao 15 473 1.4× 310 1.0× 245 1.4× 84 0.7× 95 1.0× 109 1.1k
Sourav Kumar Bhoi India 20 482 1.4× 670 2.2× 224 1.3× 110 0.9× 67 0.7× 91 1.2k
Amrit Mukherjee India 20 515 1.5× 658 2.2× 143 0.8× 64 0.5× 87 0.9× 76 1.1k
Óscar Belmonte Spain 19 605 1.7× 244 0.8× 108 0.6× 225 1.8× 137 1.4× 52 1.1k
Jesús Tomás Spain 18 373 1.1× 457 1.5× 265 1.5× 165 1.3× 34 0.3× 43 1.2k
Xiaochen Fan China 15 369 1.1× 207 0.7× 141 0.8× 158 1.2× 123 1.2× 45 799
Zengwei Zheng China 18 226 0.6× 226 0.8× 209 1.2× 113 0.9× 57 0.6× 83 769
Grigore Stâmâtescu Romania 14 391 1.1× 357 1.2× 134 0.7× 169 1.3× 255 2.6× 121 1.1k

Countries citing papers authored by David Ndzi

Since Specialization
Citations

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

Fields of papers citing papers by David Ndzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Ndzi

This figure shows the co-authorship network connecting the top 25 collaborators of David Ndzi. A scholar is included among the top collaborators of David Ndzi 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 David Ndzi. David Ndzi 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.
Dickinson, Natalie, Llinos Haf Spencer, Serestina Viriri, et al.. (2025). A systematic review investigating emerging trends between Extreme Weather Events (EWEs) and infectious disease outbreaks in South Africa. medRxiv. 1 indexed citations
2.
Ndzi, David, et al.. (2025). Comparative Study of Machine Learning-Based Rainfall Prediction in Tropical and Temperate Climates. Climate. 13(8). 167–167. 1 indexed citations
3.
Yang, Guangguang, et al.. (2022). Deep Spatial Interpolation of Rain Field for U.K. Satellite Networks. IEEE Transactions on Antennas and Propagation. 71(2). 1793–1803. 2 indexed citations
4.
Zakaria, Ammar, et al.. (2022). Inline 3D Volumetric Measurement of Moisture Content in Rice Using Regression-Based ML of RF Tomographic Imaging. Sensors. 22(1). 405–405. 5 indexed citations
5.
Aslam, Muhammad, Dengpan Ye, Aqil Tariq, et al.. (2022). Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT. Sensors. 22(7). 2697–2697. 87 indexed citations
6.
Kamarudin, Latifah Munirah, et al.. (2021). RF-Based Moisture Content Determination in Rice Using Machine Learning Techniques. Sensors. 21(5). 1875–1875. 36 indexed citations
7.
Yang, Guangguang, et al.. (2019). The Impact of Spatial–Temporal Averaging on the Dynamic–Statistical Properties of Rain Fields. IEEE Transactions on Antennas and Propagation. 67(12). 7505–7517. 4 indexed citations
8.
Ramli, Azizul Azhar, et al.. (2019). Rain prediction using fuzzy rule based system in North-West malaysia. Indonesian Journal of Electrical Engineering and Computer Science. 14(3). 1564–1564. 13 indexed citations
9.
Yang, Guangguang, et al.. (2018). A New Approach for Rainfall Rate Field Space-Time Interpolation for Western Europe. Biogeosciences (European Geosciences Union). 1 indexed citations
10.
Harun, A., Latifah Munirah Kamarudin, Ammar Zakaria, et al.. (2015). STINGLESS BEE COLONY HEALTH SENSING THROUGH INTEGRATED WIRELESS SYSTEM. Jurnal Teknologi. 77(28). 11 indexed citations
11.
Kamarudin, Kamarulzaman, Syed Muhammad Mamduh Syed Zakaria, Ali Yeon Md Shakaff, et al.. (2014). Classification of Domestic Burning Smell using Covariance k- Nearest Neighbour Algorithm for Early Fire Detection Application. SHILAP Revista de lepidopterología. 5 indexed citations
12.
Ndzi, David, et al.. (2013). Distributed Monitoring System Based On Weighted Data Fusing Model. 3(2). 53–62. 5 indexed citations
13.
Harun, A., et al.. (2013). Antenna positioning impact on wireless sensor networks deployment in agriculture. AUSTRALIAN JOURNAL OF BASIC AND APPLIED SCIENCES. 7(5). 55–60. 7 indexed citations
14.
Kamarudin, Latifah Munirah, R. Badlishah Ahmad, David Ndzi, et al.. (2012). Modeling and Simulation of WSNs for Agriculture Applications Using Dynamic Transmit Power Control Algorithm. 38. 616–621. 10 indexed citations
15.
16.
Sanders, David, et al.. (2011). Improving automatic robotic welding in shipbuilding through the introduction of a corner-finding algorithm to help recognise shipbuilding parts. Journal of Marine Science and Technology. 17(2). 231–238. 12 indexed citations
17.
Kanakaris, Venetis, David Ndzi, & Djamel Azzi. (2010). Ad-hoc Networks Energy Consumption: A review of the Ad-Hoc Routing Protocols. Journal of Engineering Science and Technology Review. 3(1). 39 indexed citations
18.
Yang, Yanyan, et al.. (2009). A Context-Aware System for Mobile Data Sharing in Hybrid P2P Environment. 63–68. 1 indexed citations
19.
Vilar, E., et al.. (2005). Short-scale diversity in a dynamic rain fade environment. International Journal of Satellite Communications and Networking. 23(2). 143–152. 6 indexed citations
20.
Vilar, E., et al.. (2005). Experimental analysis of microscale rain cells and their dynamic evolution. Radio Science. 40(3). 15 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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