David S. Burden

536 total citations
10 papers, 405 citations indexed

About

David S. Burden is a scholar working on Environmental Engineering, Electrical and Electronic Engineering and Civil and Structural Engineering. According to data from OpenAlex, David S. Burden has authored 10 papers receiving a total of 405 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 3 papers in Electrical and Electronic Engineering and 2 papers in Civil and Structural Engineering. Recurrent topics in David S. Burden's work include Groundwater flow and contamination studies (5 papers), Electrokinetic Soil Remediation Techniques (3 papers) and Groundwater and Isotope Geochemistry (2 papers). David S. Burden is often cited by papers focused on Groundwater flow and contamination studies (5 papers), Electrokinetic Soil Remediation Techniques (3 papers) and Groundwater and Isotope Geochemistry (2 papers). David S. Burden collaborates with scholars based in United States and Canada. David S. Burden's co-authors include Chen Zhu, H. M. Selim, Fang Q. Hu, Brianna Williams, Larry B. Barber, William T. Foreman, Jason R. Masoner, David P. Krabbenhoft, Edward T. Furlong and Matthew E. Hopton and has published in prestigious journals such as Environmental Science & Technology, Soil Science and Ground Water.

In The Last Decade

David S. Burden

10 papers receiving 379 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David S. Burden United States	8	222	110	83	70	69	10	405
Jens Utermann Germany	11	104 0.5×	334 3.0×	108 1.3×	54 0.8×	76 1.1×	18	544
B. Buchter Switzerland	7	178 0.8×	186 1.7×	40 0.5×	168 2.4×	42 0.6×	13	416
Uli Maier Germany	12	297 1.3×	87 0.8×	37 0.4×	56 0.8×	168 2.4×	24	500
Elias Hideo Teramoto Brazil	12	180 0.8×	116 1.1×	32 0.4×	52 0.7×	57 0.8×	51	391
Heiko Pfeiffer Switzerland	4	89 0.4×	126 1.1×	134 1.6×	22 0.3×	33 0.5×	6	338
İrfan Yolcubal Türkiye	14	123 0.6×	164 1.5×	80 1.0×	31 0.4×	66 1.0×	27	443
Peter Udluft Germany	8	139 0.6×	70 0.6×	30 0.4×	74 1.1×	75 1.1×	14	381
Maria Battistel Italy	8	96 0.4×	118 1.1×	59 0.7×	24 0.3×	57 0.8×	13	377
Bert E. Bledsoe United States	8	94 0.4×	201 1.8×	93 1.1×	21 0.3×	67 1.0×	14	380
Frank H. Chapelle United States	3	159 0.7×	85 0.8×	41 0.5×	12 0.2×	56 0.8×	6	359

Countries citing papers authored by David S. Burden

Since Specialization

Citations

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

Fields of papers citing papers by David S. Burden

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David S. Burden

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

All Works

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10 of 10 papers shown

1.

Boving, Thomas B., et al.. (2023). Contaminant Back Diffusion from Low-Conductivity Matrices: Case Studies of Remedial Strategies. Water. 15(3). 570–570. 9 indexed citations

2.

Masoner, Jason R., Dana W. Kolpin, Isabelle M. Cozzarelli, et al.. (2019). Urban Stormwater: An Overlooked Pathway of Extensive Mixed Contaminants to Surface and Groundwaters in the United States. Environmental Science & Technology. 53(17). 10070–10081. 206 indexed citations

3.

Xu, Jie, et al.. (2015). Graphical User Interface for AT123D‐AT Solute Transport Model. Ground Water. 54(3). 313–314. 1 indexed citations

4.

Zhu, Chen, G. M. Anderson, & David S. Burden. (2002). Natural Attenuation Reactions at a Uranium Mill Tailings Site, Western U.S.A.. Ground Water. 40(1). 5–13. 17 indexed citations

5.

Zhu, Chen & David S. Burden. (2001). Mineralogical compositions of aquifer matrix as necessary initial conditions in reactive contaminant transport models. Journal of Contaminant Hydrology. 51(3-4). 145–161. 43 indexed citations

6.

Zhu, Chen, Fang Q. Hu, & David S. Burden. (2001). Multi-component reactive transport modeling of natural attenuation of an acid groundwater plume at a uranium mill tailings site. Journal of Contaminant Hydrology. 52(1-4). 85–108. 51 indexed citations

7.

Burden, David S. & Judith L. Sims. (1999). FUNDAMENTALS OF SOIL SCIENCE AS APPLICABLE TO MANAGEMENT OF HAZARDOUS WASTES. 8 indexed citations

8.

Burden, David S.. (1999). Ground Water Issue: Fundamentals of Soil Science as Applicable to Management of Hazardous Wastes. 2 indexed citations

9.

Shouse, P. J., et al.. (1995). SPATIAL VARIABILITY OF SOIL WATER RETENTION FUNCTIONS IN A SILT LOAM SOIL. Soil Science. 159(1). 1–12. 46 indexed citations

10.

Burden, David S. & H. M. Selim. (1989). CORRELATION OF SPATIALLY VARIABLE SOIL WATER RETENTION FOR A SURFACE SOIL. Soil Science. 148(6). 436–447. 22 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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