Tom Clemo

554 citations
17 papers · 467 · h-index 10

Impact in

    • Groundwater flow and contamination studies
  • Geophysics top 10%
    • Geophysical and Geoelectrical Methods
    • Seismic Imaging and Inversion Techniques
    • Seismic Waves and Analysis

Papers in

    • Groundwater flow and contamination studies 13
    • Reservoir Engineering and Simulation Methods 8
    • Drilling and Well Engineering 2
    • Geophysical Methods and Applications 2

Tom Clemo

17 papers receiving 436 citations

Peers

Tom Clemo
Comparison fields: 5 of 35
  • Environmental Engineering 300
  • Geophysics 243
  • Ocean Engineering 213
  • Geochemistry and Petrology 31
  • Mechanical Engineering 176
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Citations per field
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Citations per year

Countries citing papers authored by Tom Clemo

Since Specialization
Citations

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

Fields of papers citing papers by Tom Clemo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tom Clemo. 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 Tom Clemo. The network helps show where Tom Clemo may publish in the future.

Co-authors

The 13 scholars most cited alongside Tom Clemo, 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 Tom Clemo Line = papers co-authored together Tom Clemo links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2002110
2 200876
3 200569
4 199740
5 198739
6 199933
7 200629
8 199924
9
MODFLOW-2005 Ground-Water Model - User Guide to the Adjoint State Based Sensitivity Process (ADJ)
200712
10 199610
11 20098
12 20034
13 20034
14
Application of LSQR to Calibration of a MODFLOW Model: A Synthetic Study
20063
15 20092
16 20052
17
Inversion of Borehole Flowmeter Measurements Considering Well Screen Clogging and Skin
20032

About Tom Clemo

Tom Clemo is a scholar working on Environmental Engineering, Ocean Engineering, Geophysics, Mechanical Engineering and Civil and Structural Engineering, having authored 17 papers that have together received 467 indexed citations. Recurring topics across this work include Groundwater flow and contamination studies (13 papers), Reservoir Engineering and Simulation Methods (8 papers), Hydraulic Fracturing and Reservoir Analysis (8 papers), Geophysical and Geoelectrical Methods (3 papers), Drilling and Well Engineering (2 papers), Seismic Imaging and Inversion Techniques (2 papers), Geophysical Methods and Applications (2 papers) and Soil and Unsaturated Flow (2 papers). The work is most often cited by research in Environmental Engineering (300 citations), Geophysics (243 citations), Ocean Engineering (213 citations), Geochemistry and Petrology (31 citations) and Mechanical Engineering (176 citations). Tom Clemo has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Warren Barrash, Michael N. Fienen, Peter K. Kitanidis, Leslie Malcolm Smith, Michael D. Knoll, Edward C. Reboulet, D. W. Hyndman, Matthew James Tonkin, Mary P. Anderson and Haijiang Zhang. Their work appears in journals such as Water Resources Research, Ground Water, SPE Production & Operations, Journal of Hydrology and Digital Scholarship - UNLV (University of Nevada Reno).

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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