Nate Currit

1.3k total citations · 1 hit paper
17 papers, 1.0k citations indexed

About

Nate Currit is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Nate Currit has authored 17 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 9 papers in Global and Planetary Change and 8 papers in Environmental Engineering. Recurrent topics in Nate Currit's work include Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (6 papers) and Land Use and Ecosystem Services (3 papers). Nate Currit is often cited by papers focused on Remote Sensing in Agriculture (7 papers), Remote Sensing and LiDAR Applications (6 papers) and Land Use and Ecosystem Services (3 papers). Nate Currit collaborates with scholars based in United States, Slovakia and China. Nate Currit's co-authors include Xuelian Meng, Kaiguang Zhao, Le Wang, José Luis Silván-Cárdenas, E. Samson, Naizhuo Zhao, William E. Easterling, Jennifer A. Devine, David Wrathall and Beth Tellman and has published in prestigious journals such as Ecological Economics, International Journal of Remote Sensing and Remote Sensing.

In The Last Decade

Nate Currit

16 papers receiving 946 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues

2010 447 citations Xuelian Meng, Nate Currit et al. Remote Sensing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Nate Currit United States	11	715	449	380	246	114	17	1.0k
L. Gomes Pereira Portugal	13	677 0.9×	276 0.6×	268 0.7×	230 0.9×	48 0.4×	25	880
Tuong Thuy Vu Malaysia	18	315 0.4×	172 0.4×	286 0.8×	138 0.6×	95 0.8×	49	820
Alexander S. Antonarakis United Kingdom	15	608 0.9×	127 0.3×	505 1.3×	371 1.5×	29 0.3×	31	1.1k
Angileri Vincenzo Italy	8	409 0.6×	164 0.4×	313 0.8×	177 0.7×	21 0.2×	16	656
Anssi Pekkarinen Italy	19	970 1.4×	104 0.2×	806 2.1×	443 1.8×	43 0.4×	33	1.4k
Fevzi Karslı Türkiye	14	293 0.4×	90 0.2×	250 0.7×	242 1.0×	72 0.6×	47	803
Jiayuan Lin China	11	280 0.4×	105 0.2×	139 0.4×	123 0.5×	37 0.3×	30	484
Tomaž Podobnikar Slovenia	13	243 0.3×	68 0.2×	175 0.5×	141 0.6×	66 0.6×	37	605
José Luís Pérez Spain	17	425 0.6×	384 0.9×	83 0.2×	102 0.4×	55 0.5×	68	813
Kotaro Iizuka Japan	14	321 0.4×	67 0.1×	263 0.7×	329 1.3×	25 0.2×	27	694

Countries citing papers authored by Nate Currit

Since Specialization

Citations

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

Fields of papers citing papers by Nate Currit

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nate Currit

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

All Works

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17 of 17 papers shown

Jensen, Jennifer, et al.. (2020). Assessing the relationship between vegetation greenness and surface temperature through Granger causality and Impulse-Response coefficients: a case study in Mexico. International Journal of Remote Sensing. 41(10). 3761–3783. 12 indexed citations

Devine, Jennifer A., et al.. (2018). Narco‐Cattle Ranching in Political Forests. Antipode. 52(4). 1018–1038. 50 indexed citations

Meng, Xuelian, Nate Currit, Le Wang, & Xiaojun Yang. (2012). Detect Residential Buildings from Lidar and Aerial Photographs through Object-Oriented Land-Use Classification. Photogrammetric Engineering & Remote Sensing. 78(1). 35–44. 35 indexed citations

Zhao, Naizhuo, Nate Currit, & E. Samson. (2011). Net primary production and gross domestic product in China derived from satellite imagery. Ecological Economics. 70(5). 921–928. 75 indexed citations

Wang, Jiao & Nate Currit. (2011). Uncertainty with the scaling-up of remotely sensed evapotranspiration estimation. 3–7. 2 indexed citations

Liu, Jiahang, Nate Currit, & Xuelian Meng. (2010). Extraction of water bodies from remotely sensed images. Institutional Repository of Xi'an Institute of Optics and Fine Mechanics, Chinese Academy of Sciences (Xian Institute of Optics and Precision Mechanics). 6786. 1–4. 1 indexed citations

Meng, Xuelian, Nate Currit, Le Wang, & Xiaojun Yang. (2010). OBJECT-ORIENTED RESIDENTIAL BUILDING LAND-USE MAPPING USING LIDAR AND AERIAL PHOTOGRAPHS. 1 indexed citations

Meng, Xuelian, Nate Currit, & Kaiguang Zhao. (2010). Ground Filtering Algorithms for Airborne LiDAR Data: A Review of Critical Issues. Remote Sensing. 2(3). 833–860. 447 indexed citations breakdown →

Currit, Nate & Samuel B. St. Clair. (2009). Assessing the impact of extreme climatic events on aspen defoliation using MODIS imagery. Geocarto International. 25(2). 133–147. 11 indexed citations

10.

Currit, Nate. (2009). Observing Forest Change to Enhance Border Sustainability in Chihuahua, Mexico. Geography Compass. 3(3). 932–949. 2 indexed citations

11.

Meng, Xuelian, Le Wang, & Nate Currit. (2009). Morphology-based Building Detection from Airborne Lidar Data. Photogrammetric Engineering & Remote Sensing. 75(4). 437–442. 85 indexed citations

12.

Meng, Xuelian, Le Wang, José Luis Silván-Cárdenas, & Nate Currit. (2008). A multi-directional ground filtering algorithm for airborne LIDAR. ISPRS Journal of Photogrammetry and Remote Sensing. 64(1). 117–124. 179 indexed citations

13.

Currit, Nate & William E. Easterling. (2008). Globalization and population drivers of rural-urban land-use change in Chihuahua, Mexico. Land Use Policy. 26(3). 535–544. 35 indexed citations

14.

Currit, Nate. (2005). Development of a remotely sensed, historical land-cover change database for rural Chihuahua, Mexico. International Journal of Applied Earth Observation and Geoinformation. 7(3). 232–247. 42 indexed citations

15.

Currit, Nate. (2002). Inductive regression: overcoming OLS limitations with the general regression neural network. Computers Environment and Urban Systems. 26(4). 335–353. 19 indexed citations

16.

Fisher, Ann, et al.. (2000). The Mid-Atlantic Regional Assessment: motivation and approach. Climate Research. 14. 153–159. 9 indexed citations

17.

Hardin, Perry J., et al.. (1999). Monitoring Bering Sea ice change using reconstructed NSCAT imagery. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3750. 536–536. 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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