David M. Sumner

926 total citations
25 papers, 666 citations indexed

About

David M. Sumner is a scholar working on Global and Planetary Change, Water Science and Technology and Environmental Engineering. According to data from OpenAlex, David M. Sumner has authored 25 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Global and Planetary Change, 13 papers in Water Science and Technology and 6 papers in Environmental Engineering. Recurrent topics in David M. Sumner's work include Plant Water Relations and Carbon Dynamics (13 papers), Hydrology and Watershed Management Studies (9 papers) and Water Quality and Resources Studies (5 papers). David M. Sumner is often cited by papers focused on Plant Water Relations and Carbon Dynamics (13 papers), Hydrology and Watershed Management Studies (9 papers) and Water Quality and Resources Studies (5 papers). David M. Sumner collaborates with scholars based in United States and China. David M. Sumner's co-authors include Jennifer M. Jacobs, Ram L. Ray, Ellen Douglas, W. Barclay Shoemaker, D. E. Rolston, Chandra S. Pathak, Miguel A. Mariño, Qinglong L. Wu, Kenneth L. Clark and John R. Mecikalski and has published in prestigious journals such as Water Resources Research, Journal of Hydrology and JAWRA Journal of the American Water Resources Association.

In The Last Decade

David M. Sumner

22 papers receiving 609 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David M. Sumner United States 11 484 288 142 135 95 25 666
Yonghong Su China 12 376 0.8× 252 0.9× 145 1.0× 87 0.6× 88 0.9× 22 633
Laura Morillas United States 13 433 0.9× 168 0.6× 161 1.1× 134 1.0× 138 1.5× 22 627
Xianglan Li China 13 538 1.1× 234 0.8× 145 1.0× 193 1.4× 103 1.1× 33 751
Markus Casper Germany 15 340 0.7× 384 1.3× 196 1.4× 159 1.2× 189 2.0× 38 695
Jinjiao Lian China 14 277 0.6× 184 0.6× 137 1.0× 93 0.7× 93 1.0× 26 526
Xibin Ji China 17 562 1.2× 360 1.3× 152 1.1× 104 0.8× 168 1.8× 35 920
Chaolei Zheng China 17 650 1.3× 283 1.0× 186 1.3× 190 1.4× 78 0.8× 53 880
G.D. Watson Australia 14 260 0.5× 192 0.7× 139 1.0× 74 0.5× 123 1.3× 17 546
Yuping Lei China 13 240 0.5× 205 0.7× 221 1.6× 170 1.3× 143 1.5× 35 653
Danrong Zhang China 17 395 0.8× 392 1.4× 245 1.7× 111 0.8× 104 1.1× 42 746

Countries citing papers authored by David M. Sumner

Since Specialization
Citations

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

Fields of papers citing papers by David M. Sumner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Sumner. 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 David M. Sumner. The network helps show where David M. Sumner may publish in the future.

Co-authorship network of co-authors of David M. Sumner

This figure shows the co-authorship network connecting the top 25 collaborators of David M. Sumner. A scholar is included among the top collaborators of David M. Sumner 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 David M. Sumner. David M. Sumner 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.
Mecikalski, John R., et al.. (2018). High-Resolution GOES Insolation–Evapotranspiration Data Set for Water Resource Management in Florida: 1995–2015. Journal of Irrigation and Drainage Engineering. 144(9). 10 indexed citations
2.
Sumner, David M., et al.. (2018). A simple method for partitioning total solar radiation into diffuse/direct components in the United States. International Journal of Green Energy. 15(9). 497–506. 3 indexed citations
3.
Sumner, David M.. (2017). Evapotranspiration (ET) at Tiger Bay State Forest site, Volusia County, Florida, January 1, 1998 - December 31, 1999. USGS DOI Tool Production Environment. 1 indexed citations
4.
Comas, Xavier, et al.. (2017). Estimating Belowground Carbon Stocks in Isolated Wetlands of the Northern Everglades Watershed, Central Florida, Using Ground Penetrating Radar and Aerial Imagery. Journal of Geophysical Research Biogeosciences. 122(11). 2804–2816. 11 indexed citations
5.
Sumner, David M., et al.. (2017). <i>Use of eddy-covariance methods to �calibrate� simple estimators of evapotranspiration</i>. 2017 Spokane, Washington July 16 - July 19, 2017. 2 indexed citations
6.
7.
Sumner, David M.. (2017). Evapotranspiration (ET) at Blue Cypress marsh site, daily data, Indian River County, Florida, June 1, 1995 October 20, 2014. USGS DOI Tool Production Environment. 2 indexed citations
8.
Sumner, David M., Qinglong L. Wu, & Chandra S. Pathak. (2011). Variability of Albedo and Utility of the MODIS Albedo Product in Forested Wetlands. Wetlands. 31(2). 229–237. 16 indexed citations
9.
Mecikalski, John R., et al.. (2009). A Calibrated, High‐Resolution GOES Satellite Solar Insolation Product for a Climatology of Florida Evapotranspiration1. JAWRA Journal of the American Water Resources Association. 45(6). 1328–1342. 16 indexed citations
10.
Douglas, Ellen, Jennifer M. Jacobs, David M. Sumner, & Ram L. Ray. (2009). A comparison of models for estimating potential evapotranspiration for Florida land cover types. Journal of Hydrology. 373(3-4). 366–376. 130 indexed citations
11.
Sumner, David M., et al.. (2008). Calibration of GOES-Derived Solar Radiation Data Using a Distributed Network of Surface Measurements in Florida, USA. World Environmental and Water Resources Congress 2008. 85. 1–10. 2 indexed citations
12.
Sumner, David M.. (2007). Effects of capillarity and microtopography on wetland specific yield. Wetlands. 27(3). 693–701. 32 indexed citations
13.
Shoemaker, W. Barclay & David M. Sumner. (2006). Alternate corrections for estimating actual wetland evapotranspiration from potential evapotranspiration. Wetlands. 26(2). 528–543. 30 indexed citations
14.
Sumner, David M.. (2006). ADEQUACY OF SELECTED EVAPOTRANSPIRATION APPROXIMATIONS FOR HYDROLOGIC SIMULATION1. JAWRA Journal of the American Water Resources Association. 42(3). 699–711. 8 indexed citations
15.
Sumner, David M., et al.. (2005). Evaporation, precipitation, and associated salinity changes at a humid, subtropical estuary. Estuaries. 28(6). 844–855. 61 indexed citations
16.
17.
Guha, Arindam, et al.. (2004). Validity of Self-Preservation for Diurnal Surface Energy Budget Predictions using Remote Sensing Observations in Florida. AGU Spring Meeting Abstracts. 2004. 1 indexed citations
18.
Sumner, David M., D. E. Rolston, & Miguel A. Mariño. (1999). Effects of Unsaturated Zone on Ground-Water Mounding. Journal of Hydrologic Engineering. 4(1). 65–69. 18 indexed citations
19.
Sumner, David M., et al.. (1998). Nutrient transport and transformation beneath an infiltration basin. Water Environment Research. 70(5). 997–1004. 5 indexed citations
20.
Sumner, David M., et al.. (1984). Geohydrology and simulated effects of large ground-water withdrawals on the Mississippi River alluvial aquifer in northwestern Mississippi. Antarctica A Keystone in a Changing World. 7 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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