Kayode Sanni

926 total citations
24 papers, 369 citations indexed

About

Kayode Sanni is a scholar working on Plant Science, Electrical and Electronic Engineering and Genetics. According to data from OpenAlex, Kayode Sanni has authored 24 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Plant Science, 8 papers in Electrical and Electronic Engineering and 6 papers in Genetics. Recurrent topics in Kayode Sanni's work include Rice Cultivation and Yield Improvement (13 papers), Advanced Memory and Neural Computing (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Kayode Sanni is often cited by papers focused on Rice Cultivation and Yield Improvement (13 papers), Advanced Memory and Neural Computing (6 papers) and Genetic Mapping and Diversity in Plants and Animals (6 papers). Kayode Sanni collaborates with scholars based in United States, Ivory Coast and Nigeria. Kayode Sanni's co-authors include Andreas G. Andreou, Aroop Sircar, Jeffrey J. Gray, Jiye Shi, S. A. Ogunbayo, Eklou A. Somado, M. Sié, F.E. Nwilene, I. Fawole and Guillaume Garreau and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and IEEE Access.

In The Last Decade

Kayode Sanni

23 papers receiving 336 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kayode Sanni United States 11 192 82 66 60 49 24 369
Fang-Rong Hsu Taiwan 11 65 0.3× 43 0.5× 130 2.0× 41 0.7× 20 0.4× 41 443
Zeeshan Gillani Pakistan 8 212 1.1× 40 0.5× 73 1.1× 6 0.1× 13 0.3× 11 391
Xuejiao Liu China 11 74 0.4× 68 0.8× 174 2.6× 6 0.1× 13 0.3× 31 410
Rajiv Kumar Tripathi India 14 459 2.4× 22 0.3× 271 4.1× 18 0.3× 42 0.9× 33 734
Hanjing Li China 11 86 0.4× 23 0.3× 160 2.4× 7 0.1× 13 0.3× 47 330
Qiang Lyu China 14 138 0.7× 14 0.2× 233 3.5× 11 0.2× 41 0.8× 49 488
Pavel P. Kuksa United States 13 43 0.2× 71 0.9× 422 6.4× 12 0.2× 30 0.6× 37 532
Trias Thireou Greece 12 45 0.2× 31 0.4× 195 3.0× 39 0.7× 12 0.2× 38 447
Xu-Qing Liu China 9 40 0.2× 49 0.6× 77 1.2× 15 0.3× 12 0.2× 40 341
Jiying Li China 9 101 0.5× 18 0.2× 202 3.1× 6 0.1× 23 0.5× 32 326

Countries citing papers authored by Kayode Sanni

Since Specialization
Citations

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

Fields of papers citing papers by Kayode Sanni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kayode Sanni

This figure shows the co-authorship network connecting the top 25 collaborators of Kayode Sanni. A scholar is included among the top collaborators of Kayode Sanni 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 Kayode Sanni. Kayode Sanni 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.
Andreou, Andreas G., Kayode Sanni, Philippe O. Pouliquen, et al.. (2024). Neuromorphic Chiplet Architecture for Wide Area Motion Imagery Processing. 160–171. 1 indexed citations
2.
Sanni, Kayode, et al.. (2020). New Production Rate Model of Wellhead Choke for Niger Delta Oil Wells. SHILAP Revista de lepidopterología. 1 indexed citations
3.
Sanni, Kayode & Andreas G. Andreou. (2019). A Historical Perspective on Hardware AI Inference, Charge-Based Computational Circuits and an 8 bit Charge-Based Multiply-Add Core in 16 nm FinFET CMOS. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 9(3). 532–543. 12 indexed citations
4.
Adetimirin, Victor O., et al.. (2019). Screening African rice (O. glaberrima Steud.) for tolerance to abiotic stress. III. flooding.. SABRAO Journal of Breeding and Genetics. 51(2). 128–150. 6 indexed citations
5.
Sanni, Kayode & Andreas G. Andreou. (2019). A Mixed-Signal Successive Approximation Architecture for Energy-Efficient Fixed-Point Arithmetic in 16nm FinFET. 38. 1–5. 1 indexed citations
6.
Sanni, Kayode, et al.. (2018). A Charge-Based Architecture for Energy-Efficient Vector-Vector Multiplication in 65nm CMOS. 1–5. 7 indexed citations
7.
Sanni, Kayode, et al.. (2017). Bio-Inspired Human Action Recognition With a Micro-Doppler Sonar System. IEEE Access. 6. 28388–28403. 12 indexed citations
8.
Sanni, Kayode, S. A. Ogunbayo, Kazuki Saito, et al.. (2016). Screening African rice (Oryza glaberrima) for tolerance to abiotic stresses: I. Fe toxicity. Field Crops Research. 220. 3–9. 29 indexed citations
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11.
Sabot, François, Yves Vigouroux, Hélène Adam, et al.. (2014). An extensive analysis of the African rice genetic diversity through a global genotyping. Theoretical and Applied Genetics. 127(10). 2211–2223. 31 indexed citations
12.
Ogunbayo, S. A., M. Sié, D. K. Ojo, et al.. (2014). Comparative Performance of Forty-Eight Rice Genotypes in Diverse Environments Using the Ammi and GGE Biplot Analyses. 8(3). 139–152. 5 indexed citations
13.
Sié, M., Gustave Djèdatin, Khady Nani Dramé, et al.. (2012). Molecular Profiling of Interspecific Lowland Rice Progenies Resulting from Crosses between TOG5681 and TOG5674 (Oryza glaberrima) and IR64 (Oryza sativa). International Journal of Biology. 4(3). 8 indexed citations
14.
Sircar, Aroop, Kayode Sanni, Jiye Shi, & Jeffrey J. Gray. (2011). Analysis and Modeling of the Variable Region of Camelid Single-Domain Antibodies. The Journal of Immunology. 186(11). 6357–6367. 76 indexed citations
15.
Sié, M., et al.. (2010). Evaluation of intra and interspecific rice varieties adapted to valley bottom conditions in Burkina Faso. African Journal of Plant Science. 4(8). 308–318. 7 indexed citations
16.
Ojo, D. K., et al.. (2009). The determination of diversity and relationships among forty rice Oryza sativa L accessions by comparative analysis of morphological and RAPD data 40. Tropical Agriculture. 86(2). 40–51.
17.
Sanni, Kayode, et al.. (2008). Ratooning Potential of Interspecific NERICA Rice Varieties (Oryza glaberrimaxOryza sativa). International Journal of Botany. 5(1). 112–115. 13 indexed citations
18.
Sanni, Kayode, O. J. Ariyo, D. K. Ojo, et al.. (2008). Additive Main Effects and Multiplicative Interactions Analysis of Grain Yield Performances in Rice Genotypes Across Environments. Asian Journal of Plant Sciences. 8(1). 48–53. 12 indexed citations
19.
Ogunbayo, S. A., D. K. Ojo, O. J. Ariyo, et al.. (2007). Genetic Comparisons of Landrace Rice Accessions by Morphological and RAPDs Techniques. Asian Journal of Plant Sciences. 6(4). 653–666. 5 indexed citations
20.
Somado, Eklou A., et al.. (2006). Comparative studies of drying methods on the seed quality of interspecific NERICA rice varieties (Oryza glaberrima x Oryza sativa) and their parents. AFRICAN JOURNAL OF BIOTECHNOLOGY. 5(18). 1618–1624. 18 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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