Eric M. LaBolle

30 papers receiving 1.7k citations

Peers

Eric M. LaBolle
Comparison fields: 5 of 86
  • Environmental Engineering 1.3k
  • Geochemistry and Petrology 535
  • Modeling and Simulation 226
  • Civil and Structural Engineering 492
  • Water Science and Technology 272
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A. Cortis United States
R. M. Neupauer United States
Donald M. Reeves United States
J. H. Knight Australia
Bruce Hunt New Zealand
Felipe P. J. de Barros United States
Andrew F. B. Tompson United States
Lucy C. Meigs United States
Zhifang Zhou China
Gary L. Guymon United States
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Citations per field
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Citations per year

Countries citing papers authored by Eric M. LaBolle

Since Specialization
Citations

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

Fields of papers citing papers by Eric M. LaBolle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eric M. LaBolle, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric M. LaBolle Line = papers co-authored together Eric M. LaBolle links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996266
2 2002265
3 2001140
4 2001132
5 2007118
6 2000104
7 199898
8 199885
9 200665
10 200861
11 201559
12 199956
13 200653
14 200646
15 201935
16 200329
17 201622
18 202221
19 200814
20 200913

About Eric M. LaBolle

Eric M. LaBolle is a scholar working on Environmental Engineering, Civil and Structural Engineering, Geochemistry and Petrology, Modeling and Simulation and Mechanical Engineering, having authored 30 papers that have together received 1.7k indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (27 papers), Soil and Unsaturated Flow (12 papers), Groundwater and Isotope Geochemistry (8 papers), Fractional Differential Equations Solutions (6 papers), Hydraulic Fracturing and Reservoir Analysis (5 papers), Geophysical and Geoelectrical Methods (4 papers), Hydrocarbon exploration and reservoir analysis (2 papers) and Dam Engineering and Safety (2 papers). The work is most often cited by research in Environmental Engineering (1.3k citations), Geochemistry and Petrology (535 citations), Modeling and Simulation (226 citations), Civil and Structural Engineering (492 citations) and Water Science and Technology (272 citations). Eric M. LaBolle has collaborated with scholars based in United States, China and New Zealand. Frequent co-authors include Graham E. Fogg, Gary S. Weissmann, Andrew F. B. Tompson, Yong Zhang, Yonghong Zhang, Mark M. Meerschaert, Jeremy Quastel, David A. Benson, Janko Gravner and Steven F. Carle. Their work appears in journals such as Water Resources Research, Environmental Science & Technology, Transport in Porous Media, Hydrogeology Journal and Geophysical monograph.

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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