Samuel Ihuoma

625 total citations
14 papers, 446 citations indexed

About

Samuel Ihuoma is a scholar working on Ecology, Plant Science and Global and Planetary Change. According to data from OpenAlex, Samuel Ihuoma has authored 14 papers receiving a total of 446 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 7 papers in Plant Science and 5 papers in Global and Planetary Change. Recurrent topics in Samuel Ihuoma's work include Remote Sensing in Agriculture (9 papers), Greenhouse Technology and Climate Control (5 papers) and Plant Water Relations and Carbon Dynamics (5 papers). Samuel Ihuoma is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Greenhouse Technology and Climate Control (5 papers) and Plant Water Relations and Carbon Dynamics (5 papers). Samuel Ihuoma collaborates with scholars based in Canada and Singapore. Samuel Ihuoma's co-authors include Chandra A. Madramootoo, Margaret Kalácska, Xianfeng Jiao, Laura Dingle Robertson, Heather McNairn, Pamela Joosse and Marco van der Kooij and has published in prestigious journals such as International Journal of Remote Sensing, Computers and Electronics in Agriculture and Agricultural Water Management.

In The Last Decade

Samuel Ihuoma

13 papers receiving 423 citations

Peers

Samuel Ihuoma
Ma. Luisa Buchaillot Spain
Joel Segarra Spain
Luís Guilherme Teixeira Crusiol Brazil
Matteo G. Ziliani Saudi Arabia
Yinkun Yao China
Chiharu Hongo Japan
Alberto Crema Italy
Mingchao Shao China
Yi Bai China
Laigang Wang China
Ma. Luisa Buchaillot Spain
Samuel Ihuoma
Citations per year, relative to Samuel Ihuoma Samuel Ihuoma (= 1×) peers Ma. Luisa Buchaillot

Countries citing papers authored by Samuel Ihuoma

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Ihuoma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Samuel Ihuoma

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

All Works

14 of 14 papers shown
1.
Robertson, Laura Dingle, Heather McNairn, Marco van der Kooij, et al.. (2023). Monitoring autumn agriculture activities using Synthetic Aperture Radar (SAR) and coherence change detection. Heliyon. 9(6). e17322–e17322. 4 indexed citations
2.
Jiao, Xianfeng, et al.. (2022). Integrating Sentinel-1 SAR and Sentinel-2 optical imagery with a crop structure dynamics model to track crop condition. International Journal of Remote Sensing. 43(17). 6509–6537. 18 indexed citations
3.
Ihuoma, Samuel, et al.. (2022). Water Productivity of Irrigated Tomatoes in Eastern Canada Based on AquaCrop Simulations. Journal of the ASABE. 65(5). 1007–1017. 3 indexed citations
4.
McNairn, Heather, Laura Dingle Robertson, Marco van der Kooij, et al.. (2022). Coherent Change Detection to Monitor Tillage. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 5858–5861.
5.
Robertson, Laura Dingle, et al.. (2022). Compact Polarimetry for Operational Crop Inventory. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 4423–4426. 3 indexed citations
6.
Robertson, Laura Dingle, et al.. (2022). Monitoring Crops Using Compact Polarimetry and the RADARSAT Constellation Mission. Canadian Journal of Remote Sensing. 48(6). 793–813. 10 indexed citations
7.
8.
Ihuoma, Samuel, Chandra A. Madramootoo, & Margaret Kalácska. (2021). Integration of satellite imagery and in situ soil moisture data for estimating irrigation water requirements. International Journal of Applied Earth Observation and Geoinformation. 102. 102396–102396. 30 indexed citations
9.
Ihuoma, Samuel. (2020). The use of spectral reflectance data to assess plant stress and improve irrigation water management. eScholarship@McGill (McGill). 2 indexed citations
10.
Ihuoma, Samuel & Chandra A. Madramootoo. (2020). Narrow-band reflectance indices for mapping the combined effects of water and nitrogen stress in field grown tomato crops. Biosystems Engineering. 192. 133–143. 29 indexed citations
11.
Ihuoma, Samuel & Chandra A. Madramootoo. (2019). Crop reflectance indices for mapping water stress in greenhouse grown bell pepper. Agricultural Water Management. 219. 49–58. 19 indexed citations
12.
Ihuoma, Samuel & Chandra A. Madramootoo. (2019). Sensitivity of spectral vegetation indices for monitoring water stress in tomato plants. Computers and Electronics in Agriculture. 163. 104860–104860. 108 indexed citations
13.
Ihuoma, Samuel & Chandra A. Madramootoo. (2017). Recent advances in crop water stress detection. Computers and Electronics in Agriculture. 141. 267–275. 216 indexed citations
14.

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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2026