Sean Hartling

2.3k total citations · 2 hit papers
11 papers, 1.8k citations indexed

About

Sean Hartling is a scholar working on Ecology, Environmental Engineering and Ecological Modeling. According to data from OpenAlex, Sean Hartling has authored 11 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Ecology, 7 papers in Environmental Engineering and 3 papers in Ecological Modeling. Recurrent topics in Sean Hartling's work include Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (7 papers) and Species Distribution and Climate Change (3 papers). Sean Hartling is often cited by papers focused on Remote Sensing in Agriculture (8 papers), Remote Sensing and LiDAR Applications (7 papers) and Species Distribution and Climate Change (3 papers). Sean Hartling collaborates with scholars based in United States. Sean Hartling's co-authors include Maitiniyazi Maimaitijiang, Paheding Sidike, Vasit Sagan, Felix Fritschi, Flavio Esposito, Kyle T. Peterson, Matthew Maimaitiyiming, Abduwasit Ghulam, Nadia Shakoor and Todd C. Mockler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Sean Hartling

11 papers receiving 1.8k citations

Hit Papers

Soybean yield prediction from UAV using multimodal data f... 2017 2026 2020 2023 2019 2017 200 400 600

Peers

Sean Hartling
Sean Hartling
Citations per year, relative to Sean Hartling Sean Hartling (= 1×) peers Lucas Prado Osco

Countries citing papers authored by Sean Hartling

Since Specialization
Citations

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

Fields of papers citing papers by Sean Hartling

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Hartling

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

All Works

11 of 11 papers shown
1.
Sagan, Vasit, Maitiniyazi Maimaitijiang, Sidike Paheding, et al.. (2021). Data-Driven Artificial Intelligence for Calibration of Hyperspectral Big Data. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–20. 31 indexed citations
2.
Hartling, Sean, Vasit Sagan, & Maitiniyazi Maimaitijiang. (2021). Urban tree species classification using UAV-based multi-sensor data fusion and machine learning. GIScience & Remote Sensing. 58(8). 1250–1275. 74 indexed citations
3.
Hartling, Sean, et al.. (2021). Estimating tree-related power outages for regional utility network using airborne LiDAR data and spatial statistics. International Journal of Applied Earth Observation and Geoinformation. 100. 102330–102330. 17 indexed citations
4.
Maimaitijiang, Maitiniyazi, Vasit Sagan, Paheding Sidike, et al.. (2019). Soybean yield prediction from UAV using multimodal data fusion and deep learning. Remote Sensing of Environment. 237. 111599–111599. 680 indexed citations breakdown →
5.
Sagan, Vasit, Maitiniyazi Maimaitijiang, Paheding Sidike, et al.. (2019). UAV/SATELLITE MULTISCALE DATA FUSION FOR CROP MONITORING AND EARLY STRESS DETECTION. SHILAP Revista de lepidopterología. XLII-2/W13. 715–722. 53 indexed citations
6.
Sagan, Vasit, Maitiniyazi Maimaitijiang, Paheding Sidike, et al.. (2019). UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras. Remote Sensing. 11(3). 330–330. 196 indexed citations
7.
Maimaitijiang, Maitiniyazi, Paheding Sidike, Matthew Maimaitiyiming, et al.. (2019). Vegetation Index Weighted Canopy Volume Model (CVMVI) for soybean biomass estimation from Unmanned Aerial System-based RGB imagery. ISPRS Journal of Photogrammetry and Remote Sensing. 151. 27–41. 198 indexed citations
8.
Hartling, Sean, et al.. (2019). Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning. Sensors. 19(6). 1284–1284. 175 indexed citations
9.
Maimaitijiang, Maitiniyazi, Abduwasit Ghulam, Paheding Sidike, et al.. (2017). Unmanned Aerial System (UAS)-based phenotyping of soybean using multi-sensor data fusion and extreme learning machine. ISPRS Journal of Photogrammetry and Remote Sensing. 134. 43–58. 303 indexed citations breakdown →
10.
Shavers, Ethan, Abduwasit Ghulam, John Encarnación, & Sean Hartling. (2017). Emplacement of ultramafic-carbonatite intrusions along reactivated North American mid-continent rift structures. Tectonophysics. 712-713. 716–722. 1 indexed citations
11.
Ghulam, Abduwasit, et al.. (2013). Traits of surface water pollution under climate and land use changes: A remote sensing and hydrological modeling approach. Earth-Science Reviews. 128. 181–195. 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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