S. D. Prince

2.0k total citations
23 papers, 1.5k citations indexed

About

S. D. Prince is a scholar working on Ecology, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, S. D. Prince has authored 23 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Ecology, 8 papers in Global and Planetary Change and 5 papers in Environmental Engineering. Recurrent topics in S. D. Prince's work include Remote Sensing in Agriculture (11 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Remote Sensing and LiDAR Applications (5 papers). S. D. Prince is often cited by papers focused on Remote Sensing in Agriculture (11 papers), Plant Water Relations and Carbon Dynamics (5 papers) and Remote Sensing and LiDAR Applications (5 papers). S. D. Prince collaborates with scholars based in United States, United Kingdom and South Africa. S. D. Prince's co-authors include Konrad Wessels, Dirk van Zyl, Compton J. Tucker, Samuel N. Goward, Craig S. T. Daughtry, William P. Kustas, Kevin P. Gallo, Niall P. Hanan, Agnès Bégué and Sandra MacFadyen and has published in prestigious journals such as Remote Sensing of Environment, New Phytologist and Journal of Ecology.

In The Last Decade

S. D. Prince

23 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. D. Prince United States 12 1.1k 946 388 242 219 23 1.5k
Kyle Pittman United States 9 1.0k 0.9× 1.0k 1.1× 461 1.2× 145 0.6× 235 1.1× 9 1.6k
K. Didan United States 3 1.4k 1.3× 803 0.8× 721 1.9× 380 1.6× 273 1.2× 5 1.7k
R. Douglas Ramsey United States 21 736 0.7× 627 0.7× 370 1.0× 113 0.5× 128 0.6× 70 1.3k
Clare S. Rowland United Kingdom 18 776 0.7× 616 0.7× 515 1.3× 190 0.8× 174 0.8× 45 1.4k
T. Maiersperger United States 10 1.2k 1.1× 797 0.8× 695 1.8× 284 1.2× 197 0.9× 14 1.6k
Tiangang Liang China 19 901 0.8× 665 0.7× 408 1.1× 118 0.5× 287 1.3× 66 1.4k
Mitchell Schull United States 13 1.2k 1.1× 900 1.0× 663 1.7× 373 1.5× 304 1.4× 22 1.7k
Matt C. Reeves United States 9 1.3k 1.2× 1.7k 1.8× 469 1.2× 193 0.8× 279 1.3× 16 2.2k
Zixiao Jiang China 4 1.4k 1.2× 744 0.8× 699 1.8× 380 1.6× 267 1.2× 10 1.7k
Pavel Propastin Germany 20 564 0.5× 683 0.7× 255 0.7× 112 0.5× 150 0.7× 38 1.1k

Countries citing papers authored by S. D. Prince

Since Specialization
Citations

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

Fields of papers citing papers by S. D. Prince

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S. D. Prince. 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 S. D. Prince. The network helps show where S. D. Prince may publish in the future.

Co-authorship network of co-authors of S. D. Prince

This figure shows the co-authorship network connecting the top 25 collaborators of S. D. Prince. A scholar is included among the top collaborators of S. D. Prince 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 S. D. Prince. S. D. Prince 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.
Prince, S. D., et al.. (2017). Recent Advances and Challenges in Underwater Sensor Networks – Survey. 8(1). 1 indexed citations
2.
Anderson, Karen, Bo Norby, S. D. Prince, Gordon H. Ball, & Douglas R. Tolleson. (2007). Detection of paratuberculosis in dairy cattle via near infrared reflectance spectroscopy of feces. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 1 indexed citations
3.
Pedelty, J. A., E. Vermote, Sadashiva Devadiga, et al.. (2007). Generating a Long-term Land Data Record from the AVHRR and MODIS Instruments. AGUFM. 2007. 1 indexed citations
4.
Wessels, Konrad, et al.. (2006). Relationship between herbaceous biomass and 1‐km2 Advanced Very High Resolution Radiometer (AVHRR) NDVI in Kruger National Park, South Africa. International Journal of Remote Sensing. 27(5). 951–973. 109 indexed citations
5.
Vermote, E., E. Masuoka, J. L. Privette, et al.. (2004). A long-term land data record from AVHRR, MODIS and VIIRS.. AGU Fall Meeting Abstracts. 2004. 1 indexed citations
6.
Wessels, Konrad, et al.. (2004). Assessing the effects of human-induced land degradation in the former homelands of northern South Africa with a 1 km AVHRR NDVI time-series. Remote Sensing of Environment. 91(1). 47–67. 268 indexed citations
7.
Prince, S. D., Samuel N. Goward, & Niall P. Hanan. (2002). Estimation of global primary production using NOAA/NASA Pathfinder AVHRR land data set. 2. 1000–1002. 3 indexed citations
8.
Goetz, S. J., et al.. (2002). Applications of multi-temporal land cover information in the mid-Atlantic region: a RESAC initiative. 1. 357–359. 10 indexed citations
9.
Gleason, Arthur C. R., S. J. Goetz, S. D. Prince, & J. Small. (2001). Effects of NOAA-AVHRR Orbital Drift on Land Surface Temperature and Related Hydrologic Dynamics. AGU Fall Meeting Abstracts. 2001. 1 indexed citations
10.
Prince, S. D. & Samuel N. Goward. (1996). Evaluation of the NOAA/NASA Pathfinder AVHRR Land Data Set for global primary production modelling. International Journal of Remote Sensing. 17(1). 217–221. 42 indexed citations
11.
Hanan, Niall P., S. D. Prince, & Agnès Bégué. (1995). Estimation of absorbed photosynthetically active radiation and vegetation net production efficiency using satellite data. Agricultural and Forest Meteorology. 76(3-4). 259–276. 47 indexed citations
12.
Hanan, Niall P., S. D. Prince, & Janet Franklin. (1993). Reflectance properties of West African savanna trees from ground radiometer measurements. II. Classification of components. International Journal of Remote Sensing. 14(6). 1081–1097. 7 indexed citations
13.
Prince, S. D., et al.. (1992). Remote Sensing of the Sahelian Environment.. Journal of Ecology. 80(3). 580–580. 12 indexed citations
14.
Daughtry, Craig S. T., Kevin P. Gallo, Samuel N. Goward, S. D. Prince, & William P. Kustas. (1992). Spectral estimates of absorbed radiation and phytomass production in corn and soybean canopies. Remote Sensing of Environment. 39(2). 141–152. 235 indexed citations
15.
Prince, S. D.. (1991). A model of regional primary production for use with coarse resolution satellite data. International Journal of Remote Sensing. 12(6). 1313–1330. 425 indexed citations
16.
Prince, S. D., C. O. Justice, & S. O. Los. (1990). Remote sensing of the Sahelian environment: a review of the current status and future prospects.. 14 indexed citations
17.
Millington, Andrew, et al.. (1989). Biomass assessment: woody biomass in the SADCC region.. OpenGrey (Institut de l'Information Scientifique et Technique). 24 indexed citations
18.
Prince, S. D., et al.. (1986). Rainfall and vegetation monitoring in the Savanna Zone of the Democratic Republic of Sudan using the NOAA Advanced Very High Resolution Radiometer. International Journal of Remote Sensing. 7(11). 1499–1513. 104 indexed citations
19.
Prince, S. D. & Compton J. Tucker. (1986). Satellite remote sensing of rangelands in Botswana II. NOAA AVHRR and herbaceous vegetation. International Journal of Remote Sensing. 7(11). 1555–1570. 150 indexed citations
20.
Prince, S. D.. (1976). THE EFFECT OF CLIMATE ON GRAIN DEVELOPMENT IN BARLEY AT AN UPLAND SITE. New Phytologist. 76(2). 377–389. 6 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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