V. C. Vanderbilt

3.3k total citations
81 papers, 2.3k citations indexed

About

V. C. Vanderbilt is a scholar working on Ecology, Plant Science and Global and Planetary Change. According to data from OpenAlex, V. C. Vanderbilt has authored 81 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Ecology, 38 papers in Plant Science and 29 papers in Global and Planetary Change. Recurrent topics in V. C. Vanderbilt's work include Remote Sensing in Agriculture (52 papers), Leaf Properties and Growth Measurement (27 papers) and Plant Water Relations and Carbon Dynamics (18 papers). V. C. Vanderbilt is often cited by papers focused on Remote Sensing in Agriculture (52 papers), Leaf Properties and Growth Measurement (27 papers) and Plant Water Relations and Carbon Dynamics (18 papers). V. C. Vanderbilt collaborates with scholars based in United States, France and United Kingdom. V. C. Vanderbilt's co-authors include Lois Grant, Craig S. T. Daughtry, Susan L. Ustin, Marvin E. Bauer, B. F. Robinson, Stéphane Jacquemoud, Frédéric Baret, L. L. Biehl, Jan‐Peter Müller and Zhenhua Wan and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and PLoS ONE.

In The Last Decade

V. C. Vanderbilt

76 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
V. C. Vanderbilt United States	23	1.6k	976	805	716	343	81	2.3k
Jochen Schell Germany	13	1.8k 1.1×	1.1k 1.1×	598 0.7×	1.0k 1.4×	340 1.0×	26	2.9k
G. Guyot France	16	2.3k 1.4×	1.2k 1.2×	850 1.1×	1.4k 1.9×	526 1.5×	26	3.0k
Lorenzo Busetto Italy	29	2.0k 1.2×	1.4k 1.4×	828 1.0×	758 1.1×	423 1.2×	63	2.7k
Mathias Kneubühler Switzerland	23	1.4k 0.9×	658 0.7×	316 0.4×	722 1.0×	300 0.9×	89	2.0k
Cinzia Panigada Italy	28	1.9k 1.2×	1.1k 1.1×	1.2k 1.5×	730 1.0×	327 1.0×	68	2.7k
Sergio Cogliati Italy	32	2.0k 1.3×	1.8k 1.8×	736 0.9×	653 0.9×	512 1.5×	83	3.0k
Michio Shibayama Japan	19	1.5k 0.9×	651 0.7×	813 1.0×	525 0.7×	370 1.1×	49	1.9k
Matti Mõttus Finland	30	2.0k 1.2×	1.4k 1.4×	809 1.0×	1.1k 1.6×	308 0.9×	88	2.6k
Martin L. Gnyp Germany	20	2.1k 1.3×	529 0.5×	1.2k 1.4×	1.4k 1.9×	269 0.8×	33	2.6k
Andreas Bolten Germany	21	2.2k 1.4×	559 0.6×	1.1k 1.3×	1.8k 2.5×	289 0.8×	39	3.0k

Countries citing papers authored by V. C. Vanderbilt

Since Specialization

Citations

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

Fields of papers citing papers by V. C. Vanderbilt

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. C. Vanderbilt. 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 V. C. Vanderbilt. The network helps show where V. C. Vanderbilt may publish in the future.

Co-authorship network of co-authors of V. C. Vanderbilt

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

All Works

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20 of 20 papers shown

Vanderbilt, V. C., et al.. (2017). Estimates of Leaf Relative Water Content from Optical Polarization Measurements. AGU Fall Meeting Abstracts. 2017. 2 indexed citations

Greenberg, Jonathan A., Maria J. Santos, Solomon Z. Dobrowski, V. C. Vanderbilt, & Susan L. Ustin. (2015). Quantifying Environmental Limiting Factors on Tree Cover Using Geospatial Data. PLoS ONE. 10(2). e0114648–e0114648. 13 indexed citations

Vanderbilt, V. C., et al.. (2015). Relative Water Content, Bidirectional Reflectance and Bidirectional Transmittance of the Interior of Detached Leaves During Dry Down.. 3 indexed citations

Vanderbilt, V. C., Craig S. T. Daughtry, & L. L. Biehl. (2014). Is there spectral variation is the polarized reflectance of leaves?. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9099. 909916–909916. 3 indexed citations

Johnston, M. J. S., et al.. (2012). Comparison of the electrical response of dry and hydrosaturated gabbro as a function of uniaxial stress. AGUFM. 2012. 1 indexed citations

Knyazikhin, Yuri, Mitchell Schull, Pauline Stenberg, et al.. (2012). Hyperspectral remote sensing of foliar nitrogen content. Proceedings of the National Academy of Sciences. 110(3). E185–92. 378 indexed citations

Yılmaz, M. Tuğrul, et al.. (2007). Vegetation water content during SMEX04 from ground data and Landsat 5 Thematic Mapper imagery. Remote Sensing of Environment. 112(2). 350–362. 81 indexed citations

Whiting, Michael L., Susan L. Ustin, Pablo J. Zarco‐Tejada, Alicia Palacios‐Orueta, & V. C. Vanderbilt. (2006). Hyperspectral mapping of crop and soils for precision agriculture. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6298. 62980B–62980B. 26 indexed citations

Greenberg, Jeff, V. C. Vanderbilt, & Solomon Z. Dobrowski. (2005). Evidence of water limited affects in tree density in a subalpine/alpine environment as inferred from hyperspatial image data and climate gradient analysis. AGU Fall Meeting Abstracts. 2005. 1 indexed citations

10.

Vanderbilt, V. C., Susan L. Ustin, & J. A. Clark. (2005). Canopy Geometry Changes Due To Wind Cause Red Edge Spectral Shift. 2. 835–835. 2 indexed citations

11.

Vanderbilt, V. C., Gerald P. Livingston, Susan L. Ustin, et al.. (2002). Inundation discriminated using sun glint. IEEE Transactions on Geoscience and Remote Sensing. 40(6). 1279–1287. 14 indexed citations

12.

Bréon, François‐Marie, et al.. (1997). Evidence of hot spot directional signature from airborne POLDER measurements. IEEE Transactions on Geoscience and Remote Sensing. 35(2). 479–484. 41 indexed citations

13.

Ustin, Susan L., Carol A. Wessman, Brian R. Curtis, et al.. (1991). Opportunities for Using the EOS Imaging Spectrometers and Synthetic Aperture Radar in Ecological Models. Ecology. 72(6). 1934–1945. 65 indexed citations

14.

Vanderbilt, V. C., et al.. (1989). Tree Canopy Radiance Measurement System. Optical Engineering. 28(11). 8 indexed citations

15.

Vanderbilt, V. C. & Lois Grant. (1986). Polarization photometer to measure bidirectional reflectance factor R(55 deg, 0 deg, 55 deg, 180 deg) of leaves. Optical Engineering. 25. 1 indexed citations

16.

Vanderbilt, V. C., Lois Grant, L. L. Biehl, & B. F. Robinson. (1985). Specular, diffuse, and polarized light scattered by two wheat canopies. Applied Optics. 24(15). 2408–2408. 84 indexed citations

17.

Daughtry, Craig S. T., et al.. (1982). Variability of Reflectance Measurements with Sensor Altitude and Canopy Type¹. Agronomy Journal. 74(4). 744–751. 34 indexed citations

18.

Bauer, Marvin E., et al.. (1981). Application of Computer Axial Tomography (CAT) to measuring crop canopy geometry. 1 indexed citations

19.

Bauer, Marvin E., et al.. (1981). Linear polarization of light by two wheat canopies measured at many view angles.. NASA Technical Reports Server (NASA). 217–224. 7 indexed citations

20.

Vanderbilt, V. C.. (1980). A model of plant canopy polarization response. Purdue e-Pubs (Purdue University System). 98–108. 14 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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