Victor Partel

1.1k total citations · 1 hit paper
10 papers, 824 citations indexed

About

Victor Partel is a scholar working on Plant Science, Ecology and Environmental Engineering. According to data from OpenAlex, Victor Partel has authored 10 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Plant Science, 3 papers in Ecology and 3 papers in Environmental Engineering. Recurrent topics in Victor Partel's work include Smart Agriculture and AI (6 papers), Remote Sensing and LiDAR Applications (3 papers) and Remote Sensing in Agriculture (3 papers). Victor Partel is often cited by papers focused on Smart Agriculture and AI (6 papers), Remote Sensing and LiDAR Applications (3 papers) and Remote Sensing in Agriculture (3 papers). Victor Partel collaborates with scholars based in United States. Victor Partel's co-authors include Yiannis Ampatzidis, Sri Charan Kakarla, Lucas Costa, Ute Albrecht, Phil Stansly, Pãnos M. Pardalos and Jin-Ho Kim and has published in prestigious journals such as Remote Sensing, Computers and Electronics in Agriculture and 2019 Boston, Massachusetts July 7- July 10, 2019.

In The Last Decade

Victor Partel

9 papers receiving 787 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.

Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence

2019 280 citations Victor Partel, Sri Charan Kakarla et al. Computers and Electronics in Agriculture profile →

Peers

Victor Partel

PS

ECOLO

EE

AC

CVPR

Everton Castel�ão Tetila Brazil

Jizhong Deng China

Juan Agüera Vega Spain

Huasheng Huang China

Jorge Martínez-Guanter Spain

Long He United States

Mads Dyrmann Denmark

Aristotelis C. Tagarakis Greece

Edson Takashi Matsubara Brazil

Nícolas Alessandro de Souza Belete Brazil

Everton Castel�ão Tetila Brazil

Victor Partel

463 ×0.8

PS

252 ×0.8

ECOLO

176 ×1.1

EE

124 ×1.4

AC

77 ×1.6

CVPR

Citations per year, relative to Victor Partel Victor Partel (= 1×) peers Everton Castel�ão Tetila

Countries citing papers authored by Victor Partel

Since Specialization

Citations

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

Fields of papers citing papers by Victor Partel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Victor Partel

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

All Works

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10 of 10 papers shown

1.

Ampatzidis, Yiannis, et al.. (2025). Cost-efficient high-resolution monitoring for specialty crops using AgI-GAN and AI-driven analytics. Computers and Electronics in Agriculture. 237. 110678–110678. 4 indexed citations

2.

Partel, Victor, Lucas Costa, & Yiannis Ampatzidis. (2021). Smart tree crop sprayer utilizing sensor fusion and artificial intelligence. Computers and Electronics in Agriculture. 191. 106556–106556. 37 indexed citations

3.

Partel, Victor, Lucas Costa, & Yiannis Ampatzidis. (2021). Smart citrus tree sprayer using sensor fusion and artificial intelligence.

4.

Partel, Victor, Jin-Ho Kim, Lucas Costa, Pãnos M. Pardalos, & Yiannis Ampatzidis. (2020). Smart Sprayer for Precision Weed Control Using Artificial Intelligence: Comparison of Deep Learning Frameworks.. 8 indexed citations

5.

Ampatzidis, Yiannis, Victor Partel, & Lucas Costa. (2020). Agroview: Cloud-based application to process, analyze and visualize UAV-collected data for precision agriculture applications utilizing artificial intelligence. Computers and Electronics in Agriculture. 174. 105457–105457. 142 indexed citations

6.

Ampatzidis, Yiannis, et al.. (2019). Citrus rootstock evaluation utilizing UAV-based remote sensing and artificial intelligence. Computers and Electronics in Agriculture. 164. 104900–104900. 82 indexed citations

7.

Partel, Victor, et al.. (2019). Automated vision-based system for monitoring Asian citrus psyllid in orchards utilizing artificial intelligence. Computers and Electronics in Agriculture. 162. 328–336. 76 indexed citations

8.

Ampatzidis, Yiannis & Victor Partel. (2019). UAV-Based High Throughput Phenotyping in Citrus Utilizing Multispectral Imaging and Artificial Intelligence. Remote Sensing. 11(4). 410–410. 194 indexed citations

9.

Ampatzidis, Yiannis & Victor Partel. (2019). <i>UAV-based high throughput phenotyping in specialty crops utilizing artificial intelligence</i>. 2019 Boston, Massachusetts July 7- July 10, 2019. 1 indexed citations

10.

Partel, Victor, Sri Charan Kakarla, & Yiannis Ampatzidis. (2019). Development and evaluation of a low-cost and smart technology for precision weed management utilizing artificial intelligence. Computers and Electronics in Agriculture. 157. 339–350. 280 indexed citations breakdown →

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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