John Irungu
- Co-authors
- Timothy OladunniHoda El-SayedStaphord BengesiMd Kamruzzaman SarkerG. P. WarrenJohnson O. OumaThabet KacemMax Denis
- Topics
- ECG Monitoring and Analysis (2 papers)Generative Adversarial Networks and Image Synthesis (2 papers)Network Security and Intrusion Detection (2 papers)
- Partner nations
- United StatesKenyaAustralia
In The Last Decade
John Irungu
15 papers receiving 206 citations
Hit Papers
Peers
Comparison fields: 5 of 96
- Artificial Intelligence 46
- Plant Science 32
- Soil Science 32
- Information Systems 17
- Food Science 17
Countries citing papers authored by John Irungu
This map shows the geographic impact of John Irungu'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 John Irungu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Irungu more than expected).
Fields of papers citing papers by John Irungu
This network shows the impact of papers produced by John Irungu. 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 John Irungu. The network helps show where John Irungu may publish in the future.
Co-authorship network of co-authors of John Irungu
This figure shows the co-authorship network connecting the top 25 collaborators of John Irungu. A scholar is included among the top collaborators of John Irungu 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 John Irungu. John Irungu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformersbreakdown → | 118 |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 2 | |
| 5 | 6 | |
| 6 | 3 | |
| 7 | 4 | |
| 8 | 2 | |
| 9 | Prevalence and co-infection of cassava with cassava mosaic geminiviruses and cassava brown streak virus in popular cultivars in Western Kenya | 2 |
| 10 | 6 | |
| 11 | 23 | |
| 12 | 33 | |
| 13 | 16 | |
| 14 | Soil fertility improvements under manuring in semi-arid Lower Embu and Tharaka-Nithi. | 5 |
| 15 | Soil fertility status in smallholder farms in the semi-arid areas of Tharaka-Nithi district: Farmers' assessment compared to laboratory analysis. | 4 |
About John Irungu
John Irungu is a scholar working on General Agricultural and Biological Sciences, Soil Science and Signal Processing, having authored 15 papers that have together received 228 indexed citations. Recurring topics across this work include ECG Monitoring and Analysis (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers) and Network Security and Intrusion Detection (2 papers). The work is most often cited by research in Health Informatics (13 citations), Soil Science (32 citations) and Computer Science Applications (16 citations). John Irungu has collaborated with scholars based in United States, Kenya and Australia. Frequent co-authors include Timothy Oladunni, Hoda El-Sayed, Staphord Bengesi, Md Kamruzzaman Sarker, G. P. Warren, Johnson O. Ouma, Thabet Kacem, Max Denis, Joshua O. Amimo and Solomon Maina. Their work appears in journals such as IEEE Access, Food Policy and AFRICAN JOURNAL OF BIOTECHNOLOGY.
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.