Calvin Coopmans

1.5k total citations
75 papers, 1.1k citations indexed

About

Calvin Coopmans is a scholar working on Aerospace Engineering, Global and Planetary Change and Control and Systems Engineering. According to data from OpenAlex, Calvin Coopmans has authored 75 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Aerospace Engineering, 22 papers in Global and Planetary Change and 20 papers in Control and Systems Engineering. Recurrent topics in Calvin Coopmans's work include Plant Water Relations and Carbon Dynamics (18 papers), Remote Sensing in Agriculture (15 papers) and Target Tracking and Data Fusion in Sensor Networks (11 papers). Calvin Coopmans is often cited by papers focused on Plant Water Relations and Carbon Dynamics (18 papers), Remote Sensing in Agriculture (15 papers) and Target Tracking and Data Fusion in Sensor Networks (11 papers). Calvin Coopmans collaborates with scholars based in United States, Spain and China. Calvin Coopmans's co-authors include YangQuan Chen, Austin M. Jensen, Mac McKee, Sattar Dorafshan, Marc Maguire, Alfonso F. Torres‐Rua, Haiyang Chao, William P. Kustas, Long Di and Mahyar Aboutalebi and has published in prestigious journals such as IEEE Transactions on Industry Applications, Remote Sensing and Crop Science.

In The Last Decade

Calvin Coopmans

70 papers receiving 1.1k citations

Peers

Calvin Coopmans
Austin M. Jensen United States
Brandon Stark United States
Tiebiao Zhao United States
Haiyang Chao United States
Tania Stathaki United Kingdom
Luca Bruno Italy
Jason Williams Australia
Lufeng Mo China
Alexander Cunningham United States
Lin Lei China
Austin M. Jensen United States
Calvin Coopmans
Citations per year, relative to Calvin Coopmans Calvin Coopmans (= 1×) peers Austin M. Jensen

Countries citing papers authored by Calvin Coopmans

Since Specialization
Citations

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

Fields of papers citing papers by Calvin Coopmans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Calvin Coopmans

This figure shows the co-authorship network connecting the top 25 collaborators of Calvin Coopmans. A scholar is included among the top collaborators of Calvin Coopmans 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 Calvin Coopmans. Calvin Coopmans 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
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Torres‐Rua, Alfonso F., Lawrence E. Hipps, William P. Kustas, et al.. (2023). Spatial estimation of actual evapotranspiration over irrigated turfgrass using sUAS thermal and multispectral imagery and TSEB model. Irrigation Science. 43(1). 5–28. 5 indexed citations
3.
Zane, Regan, et al.. (2021). System-Level Approach to Designing a Smart Wireless Charging System for Power Wheelchairs. IEEE Transactions on Industry Applications. 57(5). 5128–5144. 10 indexed citations
4.
Nassar, Ayman, Alfonso F. Torres‐Rua, Venkatesh Merwade, et al.. (2021). Development of high performance computing tools for estimation of high-resolution surface energy balance products using sUAS information. PubMed. 11747. 18–18. 1 indexed citations
5.
Nassar, Ayman, Alfonso F. Torres‐Rua, William P. Kustas, et al.. (2020). Implications of soil and canopy temperature uncertainty in the estimation of surface energy fluxes using TSEB2T and high-resolution imagery in commercial vineyards. PubMed. 11414. 14–14. 4 indexed citations
6.
Clark, C., et al.. (2020). User-centred design, evaluation, and refinement of a wireless power wheelchair charging system. Disability and Rehabilitation Assistive Technology. 17(7). 815–827. 5 indexed citations
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Torres‐Rua, Alfonso F., Mahyar Aboutalebi, Ayman Nassar, et al.. (2019). Estimation of surface thermal emissivity in a vineyard for UAV microbolometer thermal cameras using NASA HyTES hyperspectral thermal, and landsat and AggieAir optical data. PubMed. 10664. 1–1. 7 indexed citations
9.
Aboutalebi, Mahyar, Alfonso F. Torres‐Rua, Mac McKee, et al.. (2019). Validation of digital surface models (DSMs) retrieved from unmanned aerial vehicle (UAV) point clouds using geometrical information from shadows. PubMed. 10664. 19–19. 2 indexed citations
10.
Aboutalebi, Mahyar, Alfonso F. Torres‐Rua, Mac McKee, et al.. (2019). The impact of shadows on partitioning of radiometric temperature to canopy and soil temperature based on the contextual two-source energy balance model (TSEB-2T). PubMed. 11008. 3 indexed citations
11.
Dorafshan, Sattar, Robert J. Thomas, Calvin Coopmans, & Marc Maguire. (2019). A Practitioner’s Guide to Small Unmanned Aerial Systems for Bridge Inspection. Infrastructures. 4(4). 72–72. 12 indexed citations
12.
Tavakoli, Reza, et al.. (2018). A Smart Autonomous WPT System for Electric Wheelchair Applications With Free-Positioning Charging Feature. IEEE Journal of Emerging and Selected Topics in Power Electronics. 8(4). 3516–3532. 35 indexed citations
13.
Aboutalebi, Mahyar, Alfonso F. Torres‐Rua, Martin McKee, et al.. (2018). Assessment of Landsat Harmonized sUAS Reflectance Products Using Point Spread Function (PSF) on Vegetation Indices (VIs) and Evapotranspiration (ET) Using the Two-Source Energy Balance (TSEB) Model. AGU Fall Meeting Abstracts. 2018. 3 indexed citations
14.
Aboutalebi, Mahyar, Alfonso F. Torres‐Rua, William P. Kustas, et al.. (2018). Assessment of different methods for shadow detection in high-resolution optical imagery and evaluation of shadow impact on calculation of NDVI, and evapotranspiration. Irrigation Science. 37(3). 407–429. 50 indexed citations
15.
Aboutalebi, Mahyar, Alfonso F. Torres‐Rua, Mac McKee, et al.. (2018). Behavior of vegetation/soil indices in shaded and sunlit pixels and evaluation of different shadow compensation methods using UAV high-resolution imagery over vineyards. PubMed. 10664. 6–6. 12 indexed citations
16.
McKee, L., Calvin Coopmans, Alfonso F. Torres‐Rua, et al.. (2018). Inter-comparison of thermal measurements using ground-based sensors, UAV thermal cameras, and eddy covariance radiometers. PubMed. 10664. 12–12. 7 indexed citations
17.
Coopmans, Calvin, et al.. (2013). Battery model-based thrust controller for a small, low cost multirotor Unmanned Aerial Vehicles. Digital Commons - USU (Utah State University). 105–113. 13 indexed citations
18.
Sheng, Hu, HongGuang Sun, Calvin Coopmans, YangQuan Chen, & Gary W. Bohannan. (2011). A Physical experimental study of variable-order fractional integrator and differentiator. The European Physical Journal Special Topics. 193(1). 93–104. 101 indexed citations
19.
Hu, Sheng, Haiyang Chao, Calvin Coopmans, et al.. (2010). Low-cost UAV-based thermal infrared remote sensing: Platform, calibration and applications. Digital Commons - USU (Utah State University). 38–43. 59 indexed citations
20.
Chao, Haiyang, Calvin Coopmans, Long Di, & YangQuan Chen. (2010). A comparative evaluation of low-cost IMUs for unmanned autonomous systems. Digital Commons - USU (Utah State University). 211–216. 55 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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