Nathan Torbick

2.3k total citations
52 papers, 1.8k citations indexed

About

Nathan Torbick is a scholar working on Environmental Engineering, Ecology and Global and Planetary Change. According to data from OpenAlex, Nathan Torbick has authored 52 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Environmental Engineering, 22 papers in Ecology and 18 papers in Global and Planetary Change. Recurrent topics in Nathan Torbick's work include Remote Sensing in Agriculture (17 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (16 papers) and Remote Sensing and LiDAR Applications (13 papers). Nathan Torbick is often cited by papers focused on Remote Sensing in Agriculture (17 papers), Synthetic Aperture Radar (SAR) Applications and Techniques (16 papers) and Remote Sensing and LiDAR Applications (13 papers). Nathan Torbick collaborates with scholars based in United States, Canada and United Kingdom. Nathan Torbick's co-authors include Jiaguo Qi, William Salas, Xiaodong Huang, Sarah L. Hession, Beth Ziniti, Brian L. Becker, Xiangming Xiao, Elijah W. Stommel, Tracie A. Caller and Stephen Hagen and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Nathan Torbick

50 papers receiving 1.7k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nathan Torbick United States 23 910 748 579 312 238 52 1.8k
Jinshui Zhang China 19 994 1.1× 1.1k 1.5× 447 0.8× 471 1.5× 165 0.7× 81 2.0k
Yeqiao Wang United States 26 1.6k 1.7× 1.1k 1.5× 644 1.1× 353 1.1× 160 0.7× 70 2.4k
Natascha Oppelt Germany 27 1.1k 1.2× 982 1.3× 518 0.9× 421 1.3× 654 2.7× 95 2.8k
Michael A. Menarguez China 8 1.0k 1.1× 1.1k 1.4× 443 0.8× 468 1.5× 402 1.7× 9 1.7k
Catherine Ticehurst Australia 18 721 0.8× 722 1.0× 374 0.6× 241 0.8× 355 1.5× 58 1.5k
Nguyễn Thanh Sơn Taiwan 23 1.1k 1.2× 889 1.2× 535 0.9× 537 1.7× 176 0.7× 91 2.0k
V. Kovalskyy United States 13 1.7k 1.9× 1.4k 1.9× 857 1.5× 471 1.5× 119 0.5× 23 2.4k
Ursula Geßner Germany 29 1.2k 1.3× 1.4k 1.9× 616 1.1× 786 2.5× 353 1.5× 65 2.7k
Jean Granger Canada 21 793 0.9× 765 1.0× 422 0.7× 163 0.5× 66 0.3× 33 1.5k

Countries citing papers authored by Nathan Torbick

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Torbick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Torbick

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Torbick. A scholar is included among the top collaborators of Nathan Torbick 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 Nathan Torbick. Nathan Torbick 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
1.
2.
Skakun, Sergii, Nathan Torbick, Xiaodong Huang, et al.. (2024). Crop yield estimation at different growing stages using a synergy of SAR and optical remote sensing data. SHILAP Revista de lepidopterología. 10. 100153–100153. 9 indexed citations
3.
Kraatz, Simon, Paul Siqueira, Josef Kellndorfer, et al.. (2022). Evaluating the Robustness of NISAR's Cropland Product to Time of Observation, Observing Mode, and Dithering. Earth and Space Science. 9(8). 4 indexed citations
4.
Huang, Xiaodong, et al.. (2021). Rice Inundation Assessment Using Polarimetric UAVSAR Data. Earth and Space Science. 8(3). e2020EA001554–e2020EA001554. 11 indexed citations
5.
Kraatz, Simon, Nathan Torbick, Xianfeng Jiao, et al.. (2021). Comparison between Dense L-Band and C-Band Synthetic Aperture Radar (SAR) Time Series for Crop Area Mapping over a NISAR Calibration-Validation Site. Agronomy. 11(2). 273–273. 16 indexed citations
6.
Kraatz, Simon, et al.. (2020). Performance Evaluation of UAVSAR and Simulated NISAR Data for Crop/Noncrop Classification Over Stoneville, MS. Earth and Space Science. 8(1). e2020EA001363–e2020EA001363. 13 indexed citations
7.
Kraatz, Simon, et al.. (2020). Evaluating the robustness of NISAR's cropland algorithm to time of observation, observing mode and dithering. AGU Fall Meeting Abstracts. 2020. 2 indexed citations
8.
Shin, Sanghoon, Yadu Pokhrel, Dai Yamazaki, et al.. (2020). High Resolution Modeling of River‐Floodplain‐Reservoir Inundation Dynamics in the Mekong River Basin. Water Resources Research. 56(5). 75 indexed citations
9.
Huang, Xiaodong, Beth Ziniti, Michael H. Cosh, et al.. (2020). Field-Scale Soil Moisture Retrieval Using PALSAR-2 Polarimetric Decomposition and Machine Learning. Agronomy. 11(1). 35–35. 11 indexed citations
10.
Huang, Xiaodong, Beth Ziniti, & Nathan Torbick. (2019). Assessing Conflict Driven Food Security in Rakhine, Myanmar with Multisource Imagery. Land. 8(6). 95–95. 8 indexed citations
11.
Huang, Xiaodong, Nathan Torbick, & Beth Ziniti. (2018). Study of a Simple Volume Scattering Model on Burned Forest Using Polarimetric PALSAR-2 Data. IEEE Geoscience and Remote Sensing Letters. 15(12). 1872–1876. 1 indexed citations
12.
Huang, Xiaodong, Beth Ziniti, Nathan Torbick, & Mark J. Ducey. (2018). Assessment of Forest above Ground Biomass Estimation Using Multi-Temporal C-band Sentinel-1 and Polarimetric L-band PALSAR-2 Data. Remote Sensing. 10(9). 1424–1424. 68 indexed citations
13.
Lei, Yang, et al.. (2018). Generation of Large-Scale Moderate-Resolution Forest Height Mosaic With Spaceborne Repeat-Pass SAR Interferometry and Lidar. IEEE Transactions on Geoscience and Remote Sensing. 57(2). 770–787. 21 indexed citations
14.
Torbick, Nathan, Beth Ziniti, Elijah W. Stommel, et al.. (2017). Assessing Cyanobacterial Harmful Algal Blooms as Risk Factors for Amyotrophic Lateral Sclerosis. Neurotoxicity Research. 33(1). 199–212. 50 indexed citations
15.
Torbick, Nathan, et al.. (2015). Mapping urban sprawl and impervious surfaces in the northeast United States for the past four decades. GIScience & Remote Sensing. 52(6). 746–764. 42 indexed citations
16.
Torbick, Nathan, Sarah L. Hession, Elijah W. Stommel, & Tracie A. Caller. (2014). Mapping amyotrophic lateral sclerosis lake risk factors across northern New England. International Journal of Health Geographics. 13(1). 1–1. 134 indexed citations
17.
Dong, Jinwei, Xiangming Xiao, Bangqian Chen, et al.. (2013). Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery. Remote Sensing of Environment. 134. 392–402. 199 indexed citations
18.
Olson, J., G. Alagarswamy, Jeffrey A. Andresen, et al.. (2007). Integrating diverse methods to understand climate–land interactions in East Africa. Geoforum. 39(2). 898–911. 67 indexed citations
19.
Torbick, Nathan, Jiaguo Qi, Gary J. Roloff, & R. Jan Stevenson. (2006). Investigating impacts of land-use land cover change on wetlands in the Muskegon River Watershed, Michigan, USA. Wetlands. 26(4). 1103–1113. 37 indexed citations
20.
Torbick, Nathan, et al.. (2005). Biophysical evaluation of five land covers for land-climate interaction modeling in East Africa. 7. 5009–5011. 4 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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