Juan Landivar
- Environmental Engineering top 2%
- Remote Sensing and LiDAR Applications 25
- Ecology top 2%
- Remote Sensing in Agriculture 33
- Plant Science top 2%
- Smart Agriculture and AI 20
- Research in Cotton Cultivation 10
- Greenhouse Technology and Climate Control 3
- Soil Science top 5%
- Analytical Chemistry top 5%
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- Land Use and Ecosystem Services 4
- Plant Water Relations and Carbon Dynamics 3
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- Insect-Plant Interactions and Control 3
- Co-authors
- Jinha JungAnjin ChangMurilo MaedaJunho YeomAkash AshapureGayle H. DavidonisC. FernándezSungchan Oh
- Journals
- SHILAP Revista de lepidopterología (1 paper)Sensors (1 paper)Remote Sensing (9 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Juan Landivar
55 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 90
- Environmental Engineering 498
- Ecology 765
- Plant Science 993
- Soil Science 147
- Analytical Chemistry 106
Countries citing papers authored by Juan Landivar
This map shows the geographic impact of Juan Landivar'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 Juan Landivar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juan Landivar more than expected).
Fields of papers citing papers by Juan Landivar
This network shows the impact of papers produced by Juan Landivar. 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 Juan Landivar. The network helps show where Juan Landivar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Juan Landivar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 13 | |
| 3 | 2024 | 12 | |
| 4 | 2024 | 6 | |
| 5 | 2023 | 21 | |
| 6 | 2021 | 0 | |
| 7 | 2021 | 30 | |
| 8 | 2021 | 14 | |
| 9 | 2020 | 2 | |
| 10 | 2020 | 96 | |
| 11 | 2019 | 38 | |
| 12 | 2019 | 45 | |
| 13 | 2018 | 3 | |
| 14 | 2017 | 147 | |
| 15 | 2014 | 14 | |
| 16 | ENGINERING AND GINNING Monitoring Cotton Root Rot Progression within a Growing Season Using Airborne Multispectral Imagery | 2014 | 3 |
| 17 | Cotton mote frequency under rainfed and irrigated conditions. | 2000 | 14 |
| 18 | 1999 | 12 | |
| 19 | 1998 | 66 | |
| 20 | The effects of rate and timing on glyphosate applications on defoliation efficiency, regrowth inhibition, lint yield, fiber quality and seed quality | 1995 | 5 |
About Juan Landivar
Juan Landivar is a scholar working on Environmental Engineering, Ecology and Plant Science, having authored 59 papers that have together received 1.4k indexed citations. Recurring topics across this work include Remote Sensing in Agriculture (33 papers), Remote Sensing and LiDAR Applications (25 papers), Smart Agriculture and AI (20 papers), Research in Cotton Cultivation (10 papers), Land Use and Ecosystem Services (4 papers), Greenhouse Technology and Climate Control (3 papers), Plant Water Relations and Carbon Dynamics (3 papers) and Insect-Plant Interactions and Control (3 papers). The work is most often cited by research in Environmental Engineering (498 citations), Ecology (765 citations) and Plant Science (993 citations). Juan Landivar has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jinha Jung, Anjin Chang, Murilo Maeda, Junho Yeom, Akash Ashapure, Gayle H. Davidonis, C. Fernández, Sungchan Oh, Chenghai Yang and Ruizhi Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Remote Sensing.
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.