D. L. Toll

7.2k total citations · 1 hit paper
49 papers, 5.5k citations indexed

About

D. L. Toll is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, D. L. Toll has authored 49 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Global and Planetary Change, 25 papers in Atmospheric Science and 15 papers in Ecology. Recurrent topics in D. L. Toll's work include Remote Sensing in Agriculture (14 papers), Remote-Sensing Image Classification (12 papers) and Plant Water Relations and Carbon Dynamics (9 papers). D. L. Toll is often cited by papers focused on Remote Sensing in Agriculture (14 papers), Remote-Sensing Image Classification (12 papers) and Plant Water Relations and Carbon Dynamics (9 papers). D. L. Toll collaborates with scholars based in United States, Brazil and United Kingdom. D. L. Toll's co-authors include Matthew Rodell, Paul R. Houser, B. Cosgrove, Kristi R. Arsenault, Jon Gottschalck, Kenneth Mitchell, U. Jambor, J. Radakovich, Jared Entin and Jeffrey P. Walker and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Remote Sensing of Environment and Water Resources Research.

In The Last Decade

D. L. Toll

45 papers receiving 5.3k 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.

The Global Land Data Assimilation System

2004 4.2k citations Matthew Rodell, Paul R. Houser et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. L. Toll United States	20	2.8k	2.2k	1.5k	1.4k	1.3k	49	5.5k
U. Jambor United States	3	2.2k 0.8×	1.8k 0.8×	1.5k 1.0×	1.2k 0.8×	1.0k 0.8×	5	4.4k
Jon Gottschalck United States	20	3.6k 1.3×	2.9k 1.3×	1.9k 1.3×	1.2k 0.8×	1.1k 0.9×	36	6.2k
J. Radakovich United States	4	2.2k 0.8×	1.7k 0.8×	1.5k 1.0×	1.2k 0.8×	1.0k 0.8×	5	4.3k
Jared Entin United States	15	3.0k 1.1×	2.9k 1.3×	1.5k 1.0×	2.4k 1.7×	1.4k 1.1×	31	6.2k
M. G. Bosilovich United States	7	2.5k 0.9×	2.0k 0.9×	1.5k 1.0×	1.2k 0.8×	1.0k 0.8×	10	4.7k
Kristi R. Arsenault United States	27	3.7k 1.3×	3.1k 1.4×	1.8k 1.2×	1.7k 1.2×	1.9k 1.5×	56	6.9k
B. Cosgrove United States	21	4.5k 1.6×	3.5k 1.6×	1.6k 1.1×	2.2k 1.5×	2.7k 2.1×	48	8.0k
Dag Lohmann United States	21	5.3k 1.9×	3.8k 1.7×	1.6k 1.1×	2.1k 1.4×	3.5k 2.7×	30	8.8k
Andreas Güntner Germany	48	1.9k 0.7×	1.2k 0.6×	2.5k 1.7×	1.0k 0.7×	2.0k 1.6×	157	5.7k
Frédéric Frappart France	48	3.7k 1.3×	1.9k 0.8×	2.6k 1.7×	2.3k 1.6×	2.3k 1.8×	242	7.4k

Countries citing papers authored by D. L. Toll

Since Specialization

Citations

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

Fields of papers citing papers by D. L. Toll

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. L. Toll

This figure shows the co-authorship network connecting the top 25 collaborators of D. L. Toll. A scholar is included among the top collaborators of D. L. Toll 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 D. L. Toll. D. L. Toll 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

Hendrickx, Jan M. H., Richard G. Allen, Sung-Ho Hong, et al.. (2015). Benchmarking Optical/Thermal Satellite Imagery for Estimating Evapotranspiration and Soil Moisture in Decision Support Tools. JAWRA Journal of the American Water Resources Association. 52(1). 89–119. 19 indexed citations

Toll, D. L., et al.. (2012). Improving estimated soil moisture fields through assimilation of AMSR-E soil moisture retrievals with an ensemble Kalman filter and a mass conservation constraint. Hydrology and earth system sciences. 16(1). 105–119. 42 indexed citations

Toll, D. L., et al.. (2010). Using NASA Products of the Water Cycle for Improved Water Resources Management. AGUFM. 2010. 1 indexed citations

Lee, Shihyan, et al.. (2010). Assessing the hydrologic performance of the EPA’s nonpoint source water quality assessment decision support tool using North American Land Data Assimilation System (NLDAS) products. Journal of Hydrology. 387(3-4). 212–220. 11 indexed citations

Toll, D. L., Bradley Doorn, & Edwin T. Engman. (2010). NASA's water resources element within the Applied Sciences Program. NASA STI Repository (National Aeronautics and Space Administration). 918–921. 1 indexed citations

Özdoğan, Mutlu, Matthew Rodell, H. K. Beaudoing, & D. L. Toll. (2009). Simulating the Effects of Irrigation over the United States in a Land Surface Model Based on Satellite-Derived Agricultural Data. Journal of Hydrometeorology. 11(1). 171–184. 255 indexed citations

Goncalves, L., W. James Shuttleworth, Eleanor Burke, et al.. (2006). Toward a South America Land Data Assimilation System: Aspects of land surface model spin‐up using the Simplified Simple Biosphere. Journal of Geophysical Research Atmospheres. 111(D17). 31 indexed citations

Toll, D. L., Jared Entin, & Paul R. Houser. (2002). Land surface heterogeneity on surface energy and water fluxes. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 4542. 267–267. 1 indexed citations

Toll, D. L., et al.. (2002). Using remotely sensed data to estimate surface albedo and absorbed photosynthetic active radiation. 3. 1461–1463. 1 indexed citations

10.

Toll, D. L., et al.. (1997). NOAA AVHRR land surface albedo algorithm development. International Journal of Remote Sensing. 18(18). 3761–3796. 9 indexed citations

11.

Salomonson, V. V. & D. L. Toll. (1991). Execution phase (C/D) spectral band characteristics of the EOS moderate resolution imaging spectrometer-Nadir (MODIS-N) facility instrument. Advances in Space Research. 11(3). 231–236. 15 indexed citations

12.

Vukovich, Fred M., D. L. Toll, & Robert Murphy. (1987). Surface temperature and albedo relationships in Senegal derived from NOAA-7 satellite data. Remote Sensing of Environment. 22(3). 413–421. 13 indexed citations

13.

Nelson, R., et al.. (1985). Performance comparisons between information extraction techniques using variable spatial resolution data. Photogrammetric Engineering & Remote Sensing. 51. 21 indexed citations

14.

Toll, D. L.. (1985). Landsat-4 Thematic Mapper scene characteristics of a suburban and rural area. Photogrammetric Engineering & Remote Sensing. 51. 21 indexed citations

15.

Toll, D. L.. (1985). Effect of Landsat thematic mapper sensor parameters on land cover classification. Remote Sensing of Environment. 17(2). 129–140. 44 indexed citations

16.

Toll, D. L.. (1984). An evaluation of simulated Thematic Mapper data and Landsat MSS data for discriminating suburban and regional land use and land cover. Photogrammetric Engineering & Remote Sensing. 50. 29 indexed citations

17.

Williams, Darrel L., et al.. (1984). A Statistical Evaluation of the Advantages of LANDSAT Thematic Mapper Data in Comparison to Multispectral Scanner Data. IEEE Transactions on Geoscience and Remote Sensing. GE-22(3). 294–302. 38 indexed citations

18.

Williams, Darrel L., et al.. (1983). Impact of Thematic Mapper Sensor Characteristics on Classification Accuracy. NASA Technical Reports Server (NASA). 2. 93–97.

19.

Jensen, J.R. & D. L. Toll. (1982). Detecting residential land-use development at the urban fringe. Photogrammetric Engineering & Remote Sensing. 48. 126 indexed citations

20.

Toll, D. L., et al.. (1981). Urban area update procedures using Landsat data. NASA Technical Reports Server (NASA). 21 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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