David Ndzi

1.5k citations
89 papers · 1.2k · h-index 18

Impact in

Papers in

David Ndzi

83 papers receiving 1.1k citations

Peers

David Ndzi
Comparison fields: 5 of 115
  • Human-Computer Interaction 111
  • Computer Networks and Communications 326
  • Computer Science Applications 68
  • Computer Vision and Pattern Recognition 191
  • Signal Processing 78
Replace Tianzhang Xing with:
Tianzhang Xing China
Chaocan Xiang China
Hari Prabhat Gupta India
Nobuo Kawaguchi Japan
Zhichao Cao China
Tanima Dutta India
Gourab Sen Gupta New Zealand
Chandreyee Chowdhury India
Sritrusta Sukaridhoto Indonesia
Andrea Vitaletti Italy
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Citations per field
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Tianzhang Xing · 1×
Citations per year

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-authors

The 25 scholars most cited alongside David Ndzi, 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 David Ndzi Line = papers co-authored together David Ndzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202297
2 201896
3 202070
4 201458
5 200356
6 201149
7 201348
8 201045
9 202141
10 201034
11 201130
12 201726
13 201221
14 201721
15 201620
16 201919
17 201218
18 201118
19 201217
20 201716

About David Ndzi

David Ndzi is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Computer Vision and Pattern Recognition, Atmospheric Science and Aerospace Engineering, having authored 89 papers that have together received 1.2k indexed citations. Recurring topics across this work include Millimeter-Wave Propagation and Modeling (13 papers), Precipitation Measurement and Analysis (10 papers), Energy Efficient Wireless Sensor Networks (9 papers), Meteorological Phenomena and Simulations (9 papers), Power Line Communications and Noise (7 papers), Energy Harvesting in Wireless Networks (6 papers), Hydrological Forecasting Using AI (6 papers) and Opportunistic and Delay-Tolerant Networks (6 papers). The work is most often cited by research in Human-Computer Interaction (111 citations), Computer Networks and Communications (326 citations), Computer Science Applications (68 citations), Computer Vision and Pattern Recognition (191 citations) and Signal Processing (78 citations). David Ndzi has collaborated with scholars based in United Kingdom, Malaysia and Iraq. Frequent co-authors include Latifah Munirah Kamarudin, Ammar Zakaria, David Sanders, Yanyan Yang, Ali Yeon Md Shakaff, John Chiverton, Guangguang Yang, Alexander Gegov, E. Vilar and Venetis Kanakaris. Their work appears in journals such as Electromagnetic waves, Radio Science, Sensors, IEEE Access and Electronics Letters.

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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