Henry Ruiz

843 total citations · 1 hit paper
14 papers, 572 citations indexed

About

Henry Ruiz is a scholar working on Plant Science, Ocean Engineering and Ecology. According to data from OpenAlex, Henry Ruiz has authored 14 papers receiving a total of 572 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 6 papers in Ocean Engineering and 4 papers in Ecology. Recurrent topics in Henry Ruiz's work include Geophysical Methods and Applications (6 papers), Microwave Imaging and Scattering Analysis (4 papers) and Banana Cultivation and Research (3 papers). Henry Ruiz is often cited by papers focused on Geophysical Methods and Applications (6 papers), Microwave Imaging and Scattering Analysis (4 papers) and Banana Cultivation and Research (3 papers). Henry Ruiz collaborates with scholars based in United States, Colombia and Mexico. Henry Ruiz's co-authors include Michael Gomez Selvaraj, Walter Ocimati, Guy Blomme, Sivalingam Elayabalan, J. Ntamwira, Laurent Tits, Dries Raymaekers, Milton Valencia-Ortiz, Animesh Acharjee and Bodo Raatz and has published in prestigious journals such as PLoS ONE, Remote Sensing and ISPRS Journal of Photogrammetry and Remote Sensing.

In The Last Decade

Henry Ruiz

13 papers receiving 533 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AI-powered banana diseases and pest detection

2019 282 citations Michael Gomez Selvaraj, Henry Ruiz et al. Plant Methods profile →

Peers

Countries citing papers authored by Henry Ruiz

Since Specialization

Citations

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

Fields of papers citing papers by Henry Ruiz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Henry Ruiz

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

All Works

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14 of 14 papers shown

#	Title	Journal	Authors	Indexed citations
1	Thresholding and continuous wavelet transform (CWT) analysis of Ground Penetrating Radar (GPR) data for estimation of potato biomass	Computers and Electronics in Agriculture	Henry Ruiz, Afolabi Agbona et al.	0
2	UAV-Based Phenotyping: A Non-Destructive Approach to Studying Wheat Growth Patterns for Crop Improvement and Breeding Programs	Remote Sensing	Henry Ruiz, Jinha Jung et al.	1
3	High-Throughput Canopy and Belowground Phenotyping of a Set of Peanut CSSLs Detects Lines with Increased Pod Weight and Foliar Disease Tolerance	Agronomy	Ye Chu, C. Corley Holbrook et al.	4
4	Wavelet Analysis of GPR Data for Belowground Mass Assessment of Sorghum Hybrid for Soil Carbon Sequestration	Remote Sensing	Henry Ruiz, Da Huo et al.	1
5	Yield Adjustment Using GPR-Derived Spatial Covariance Structure in Cassava Field: A Preliminary Investigation	Remote Sensing	Afolabi Agbona, Osval A. Montesinos‐López et al.	2
6	Physiological and genetic characterization of heat stress effects in a common bean RIL population	PLoS ONE	Héctor Fabio Buendía, Henry Ruiz et al.	31
7	The Fortress Beneath: Ground Penetrating Radar Imaging of the Citadel at Alcatraz: 1. A Guide for Interpretation	Heritage	Mark E. Everett, Timothy Desmet et al.	4
8	Prediction of Root Biomass in Cassava Based on Ground Penetrating Radar Phenomics	Remote Sensing	Afolabi Agbona, Brody Teare et al.	14
9	Prediction of Aboveground Biomass of Three Cassava (Manihot esculenta) Genotypes Using a Terrestrial Laser Scanner	Remote Sensing	Henry Ruiz, Michael Gomez Selvaraj et al.	6
10	Thresholding Analysis and Feature Extraction from 3D Ground Penetrating Radar Data for Noninvasive Assessment of Peanut Yield	Remote Sensing	Henry Ruiz, Brody Teare et al.	12
11	Machine learning for high-throughput field phenotyping and image processing provides insight into the association of above and below-ground traits in cassava (Manihot esculenta Crantz)	Plant Methods	Michael Gomez Selvaraj, Milton Valencia-Ortiz et al.	63
12	Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin	ISPRS Journal of Photogrammetry and Remote Sensing	Michael Gomez Selvaraj, Henry Ruiz et al.	151
13	AI-powered banana diseases and pest detection breakdown →	Plant Methods	Michael Gomez Selvaraj, Henry Ruiz et al.	282
14	Field Phenomics: A Web Based Image Analysis Platform Using Open Source Tools		Henry Ruiz, Félix F. González-Navarro et al.	1

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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