James A. Smith

2.2k total citations · 1 hit paper
38 papers, 1.7k citations indexed

About

James A. Smith is a scholar working on Ecology, Environmental Engineering and Global and Planetary Change. According to data from OpenAlex, James A. Smith has authored 38 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Ecology, 20 papers in Environmental Engineering and 20 papers in Global and Planetary Change. Recurrent topics in James A. Smith's work include Remote Sensing in Agriculture (29 papers), Plant Water Relations and Carbon Dynamics (13 papers) and Remote Sensing and LiDAR Applications (9 papers). James A. Smith is often cited by papers focused on Remote Sensing in Agriculture (29 papers), Plant Water Relations and Carbon Dynamics (13 papers) and Remote Sensing and LiDAR Applications (9 papers). James A. Smith collaborates with scholars based in United States, Denmark and Brazil. James A. Smith's co-authors include Y. E. Shimabukuro, Curtis E. Woodcock, Alan H. Strahler, George W. Swenson, Martin Wikelski, Kasper Thorup, Roland Kays, N. Jeremy Kasdin, D. S. Kimes and K.J. Ranson and has published in prestigious journals such as Remote Sensing of Environment, IEEE Transactions on Geoscience and Remote Sensing and Frontiers in Plant Science.

In The Last Decade

James A. Smith

34 papers receiving 1.5k citations

Hit Papers

The least-squares mixing models to generate fraction imag... 1991 2026 2002 2014 1991 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James A. Smith United States 16 1.1k 643 603 334 225 38 1.7k
Jaime Nickeson United States 14 1.1k 1.0× 961 1.5× 685 1.1× 245 0.7× 344 1.5× 32 1.7k
R. J. Kauth United States 9 1.0k 1.0× 738 1.1× 616 1.0× 278 0.8× 359 1.6× 14 1.7k
Dennis C. Duro Canada 10 949 0.9× 610 0.9× 406 0.7× 410 1.2× 317 1.4× 11 1.7k
Pieter Kempeneers Belgium 21 743 0.7× 420 0.7× 392 0.7× 324 1.0× 250 1.1× 60 1.3k
Mathias Kneubühler Switzerland 23 1.4k 1.3× 658 1.0× 722 1.2× 298 0.9× 300 1.3× 89 2.0k
L. L. Biehl United States 22 881 0.8× 425 0.7× 688 1.1× 345 1.0× 254 1.1× 60 1.7k
Maxim Shoshany Israel 27 998 0.9× 843 1.3× 706 1.2× 174 0.5× 384 1.7× 100 2.2k
M. J. Barnsley United Kingdom 18 875 0.8× 735 1.1× 543 0.9× 254 0.8× 357 1.6× 37 1.5k
Alicia Palacios‐Orueta Spain 22 1.2k 1.1× 1.1k 1.7× 822 1.4× 131 0.4× 226 1.0× 47 1.9k
David Morin France 13 1.2k 1.1× 618 1.0× 548 0.9× 291 0.9× 266 1.2× 26 1.5k

Countries citing papers authored by James A. Smith

Since Specialization
Citations

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

Fields of papers citing papers by James A. Smith

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Smith. 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 James A. Smith. The network helps show where James A. Smith may publish in the future.

Co-authorship network of co-authors of James A. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Smith. A scholar is included among the top collaborators of James A. Smith 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 James A. Smith. James A. Smith 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.
Smith, James A., et al.. (2004). Toward a high-temporal-frequency grass canopy thermal IR model for background signatures. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5431. 251–251. 6 indexed citations
2.
Smith, James A., et al.. (2003). A multi-wavelength thermal infrared and reflectance scene simulation model. 1. 45–47. 3 indexed citations
3.
Smith, James A., et al.. (2002). Advancing our biological and ecological predictive capabilities. 1. 154–156. 1 indexed citations
4.
Smith, James A., et al.. (2002). <title>Hyperspectral canopy reflectance modeling and EO-1 Hyperion</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4725. 515–520. 1 indexed citations
5.
Smith, James A., et al.. (2002). Remote sensing of land surface temperature: the directional viewing effect. 4. 2146–2148. 1 indexed citations
6.
Smith, James A. & S. M. Goltz. (1999). Simple forest canopy thermal-exitance model. IEEE Transactions on Geoscience and Remote Sensing. 37(6). 2733–2736.
7.
Smith, James A. & J. A. Pedelty. (1997). <title>Combined hyperspectral and thermal imaging for improved land surface flux estimation</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3071. 120–127. 1 indexed citations
8.
Otterman, J., Thomas W. Brakke, & James A. Smith. (1995). Effects of leaf-transmittance versus leaf-reflectance on bidirectional scattering from canopy/soil surface: An analytical study. Remote Sensing of Environment. 54(1). 49–60. 15 indexed citations
9.
Shimabukuro, Yosio Edemir & James A. Smith. (1995). Fraction Images Derived from Landsat TM and MSS Data for Monitoring Reforested Areas. Canadian Journal of Remote Sensing. 21(1). 67–74. 21 indexed citations
10.
Kimes, D. S., James A. Smith, P. A. Harrison, & Patrick R. Harrison. (1994). Application of AI techniques to infer vegetation characteristics from directional reflectance(s). Frontiers in Plant Science. 12. 628328–628328. 1 indexed citations
11.
Smith, James A.. (1993). LAI inversion using a back-propagation neural network trained with a multiple scattering model. IEEE Transactions on Geoscience and Remote Sensing. 31(5). 1102–1106. 78 indexed citations
12.
Shimabukuro, Y. E. & James A. Smith. (1991). The least-squares mixing models to generate fraction images derived from remote sensing multispectral data. IEEE Transactions on Geoscience and Remote Sensing. 29(1). 16–20. 506 indexed citations breakdown →
13.
Brakke, Thomas W., et al.. (1989). Bidirectional scattering of light from tree leaves. Remote Sensing of Environment. 29(2). 175–183. 53 indexed citations
14.
McGuire, Mike, L. Balick, James A. Smith, & Boyd A. Hutchison. (1989). Modeling directional thermal radiance from a forest canopy. Remote Sensing of Environment. 27(2). 169–186. 34 indexed citations
15.
Cooper, Kevin D., James A. Smith, & D. E. Pitts. (1982). Reflectance of a vegetation canopy using the Adding method. Applied Optics. 21(22). 4112–4112. 54 indexed citations
16.
Kimes, D. S., et al.. (1981). Thermal IR exitance model of a plant canopy. Applied Optics. 20(4). 623–623. 37 indexed citations
17.
Kimes, D. S., James A. Smith, & K.J. Ranson. (1980). Vegetation reflectance measurements as a function of solar zenith angle. Photogrammetric Engineering & Remote Sensing. 46. 50 indexed citations
18.
Smith, James A., Joseph K. Berry, & F.J. Heimes. (1975). Signature extension for sun angle, volume 1. NASA Technical Reports Server (NASA). 7 indexed citations
19.
Oliver, Robert & James A. Smith. (1974). A stochastic canopy model of diurnal reflectance. Defense Technical Information Center (DTIC). 11 indexed citations
20.
Francis, Richard E., et al.. (1974). ERTS-I data for classifying native plant communities - Central Colorado. 2 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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