Nathan Moore

4.2k total citations · 1 hit paper
66 papers, 2.4k citations indexed

About

Nathan Moore is a scholar working on Global and Planetary Change, Ecology and Atmospheric Science. According to data from OpenAlex, Nathan Moore has authored 66 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Global and Planetary Change, 20 papers in Ecology and 14 papers in Atmospheric Science. Recurrent topics in Nathan Moore's work include Climate variability and models (17 papers), Remote Sensing in Agriculture (13 papers) and Land Use and Ecosystem Services (12 papers). Nathan Moore is often cited by papers focused on Climate variability and models (17 papers), Remote Sensing in Agriculture (13 papers) and Land Use and Ecosystem Services (12 papers). Nathan Moore collaborates with scholars based in United States, China and United Kingdom. Nathan Moore's co-authors include D. W. Hyndman, Stuart Rojstaczer, Norbert Müller, Emilio F. Morán, María Claudia López, Shannon Sterling, Joseph P. Messina, S.C. Lin, Sarah L. Hession and Jiaguo Qi and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Nathan Moore

63 papers receiving 2.3k citations

Hit Papers

Sustainable hydropower in the 21st century 2018 2026 2020 2023 2018 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nathan Moore United States 26 1.3k 520 507 469 444 66 2.4k
Somnath Baidya Roy United States 22 1.5k 1.2× 725 1.4× 423 0.8× 724 1.5× 411 0.9× 48 2.7k
Regina Célia dos Santos Alvalá Brazil 20 1.3k 1.0× 297 0.6× 504 1.0× 443 0.9× 380 0.9× 50 2.1k
Petter Pilesjö Sweden 24 748 0.6× 386 0.7× 484 1.0× 413 0.9× 339 0.8× 112 2.0k
Giovanni Forzieri Italy 26 2.1k 1.6× 647 1.2× 715 1.4× 514 1.1× 639 1.4× 46 3.0k
Daniel Andrés Rodríguez Brazil 26 1.6k 1.2× 503 1.0× 591 1.2× 241 0.5× 853 1.9× 79 2.7k
So Kazama Japan 26 968 0.7× 441 0.8× 325 0.6× 467 1.0× 863 1.9× 230 2.4k
Herbert Formayer Austria 26 1.3k 1.0× 709 1.4× 263 0.5× 416 0.9× 250 0.6× 92 2.4k
Julia E. M. S. Nabel Germany 23 1.3k 1.0× 370 0.7× 463 0.9× 353 0.8× 213 0.5× 51 2.1k
Guojie Wang China 26 1.4k 1.1× 566 1.1× 353 0.7× 493 1.1× 448 1.0× 91 2.7k
Erfu Dai China 32 2.3k 1.7× 526 1.0× 818 1.6× 324 0.7× 535 1.2× 126 3.2k

Countries citing papers authored by Nathan Moore

Since Specialization
Citations

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

Fields of papers citing papers by Nathan Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nathan Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Nathan Moore. A scholar is included among the top collaborators of Nathan Moore 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 Moore. Nathan Moore 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.
Moore, Nathan. (2024). Defragmentation of Care in Complex Patients With ESKD Improves Clinical Outcomes. The American Journal of Managed Care. 30(5). e165–e168.
2.
Shahtahmassebi, Amir Reza, Golnaz Shahtahmassebi, Nathan Moore, & Peter M. Atkinson. (2024). Identifying fine-scale archaeological features using KH-9 HEXAGON mapping and panoramic camera images: evidence from Liangzhu Ancient City. International Journal of Remote Sensing. 45(16). 5544–5576.
3.
Pokhrel, Yadu, et al.. (2023). Groundwater dominates terrestrial hydrological processes in the Amazon at the basin and subbasin scales. Journal of Hydrology. 628. 130312–130312. 9 indexed citations
4.
Kar, Bandana, et al.. (2021). Quantitative multi-factor characterization of eco-environmental vulnerability in the Mount Elgon ecosystem. GIScience & Remote Sensing. 58(8). 1571–1592. 12 indexed citations
5.
Monlish, Darlene, Kevin Beezhold, Pailin Chiaranunt, et al.. (2021). Deletion of AMPK minimizes graft-versus-host disease through an early impact on effector donor T cells. JCI Insight. 6(14). 5 indexed citations
6.
Moore, Nathan, et al.. (2020). Evaluating spatial patterns in precipitation trends across the Amazon basin driven by land cover and global scale forcings. Theoretical and Applied Climatology. 140(1-2). 411–427. 68 indexed citations
7.
Lang, Catherine, et al.. (2018). Connecting Teachers, Students and Pre-Service Teachers to Improve STEM Pathways in Schools. International Journal of Innovation in Science and Mathematics Education. 26(8). 6 indexed citations
8.
Fan, Peilei, Jiquan Chen, Zutao Ouyang, et al.. (2018). Urbanization and sustainability under transitional economies: a synthesis for Asian Russia. Environmental Research Letters. 13(9). 95007–95007. 15 indexed citations
9.
Moore, Nathan, et al.. (2018). Projections of maize and rice yield in the Rufiji Basin, Tanzania. AGU Fall Meeting Abstracts. 2018.
10.
Shahtahmassebi, Amir Reza, Yue Lin, Lin Lin, et al.. (2017). Reconstructing Historical Land Cover Type and Complexity by Synergistic Use of Landsat Multispectral Scanner and CORONA. Remote Sensing. 9(7). 682–682. 20 indexed citations
11.
Li, Xue, Joseph P. Messina, Nathan Moore, Peilei Fan, & Ashton Shortridge. (2017). MODIS land cover uncertainty in regional climate simulations. Climate Dynamics. 49(11-12). 4047–4059. 17 indexed citations
12.
Pei, Lisi, Nathan Moore, Shiyuan Zhong, et al.. (2016). Effects of Irrigation on Summer Precipitation over the United States. Journal of Climate. 29(10). 3541–3558. 93 indexed citations
13.
Moore, Nathan, G. Alagarswamy, Jeffrey A. Andresen, J. Olson, & Philip K. Thornton. (2013). Use of a crop climate modeling system to evaluate climate change adaptation practices: maize yield in East Africa. AGU Fall Meeting Abstracts. 2013. 1 indexed citations
14.
Messina, Joseph P., et al.. (2012). Climate Change and Risk Projection: Dynamic Spatial Models of Tsetse and African Trypanosomiasis in Kenya. Annals of the Association of American Geographers. 102(5). 1038–1048. 15 indexed citations
15.
Qi, Jiaguo, et al.. (2009). Impacts of land use and land cover change on regional climate: Case study in Northern China. EGU General Assembly Conference Abstracts. 13945. 2 indexed citations
16.
Alagarswamy, G., Nathan Moore, Brent M. Lofgren, et al.. (2008). Food Production Impacts of Climate Change and Land Use Change in East Africa. AGUFM. 2008. 1 indexed citations
17.
Moore, Nathan, et al.. (2007). Modeling Future Land Use, Regional Climate, and Maize Yields in East Africa. AGUFM. 2007. 1 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.
Moore, Nathan, Eugênio Arima, Robert Walker, & Renato Ramos da Silva. (2007). Uncertainty and the changing hydroclimatology of the Amazon. Geophysical Research Letters. 34(14). 27 indexed citations
20.
Moore, Nathan, Brent M. Lofgren, Jeffrey A. Andresen, Bryan C. Pijanowski, & J. Olson. (2005). Projected Changes in Precipitation Variability and Distribution Due to Land Cover Change in East Africa. AGU Fall Meeting Abstracts. 2005. 1 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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