Dan Hampson

969 citations
12 papers · 730 · h-index 9

Impact in

  • Geophysics top 5%
    • Seismic Imaging and Inversion Techniques
    • Seismic Waves and Analysis
    • Drilling and Well Engineering
    • Geophysical Methods and Applications
    • Reservoir Engineering and Simulation Methods

Papers in

    • Seismic Imaging and Inversion Techniques 10
    • Drilling and Well Engineering 5
    • Reservoir Engineering and Simulation Methods 4

Dan Hampson

12 papers receiving 679 citations

Peers

Dan Hampson
Comparison fields: 5 of 45
  • Geophysics 629
  • Ocean Engineering 377
  • Mechanical Engineering 240
  • Mechanics of Materials 120
  • Geology 20
Replace Stephen M. Doherty with:
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Phil D. Anno United States
Christian Höcker Netherlands
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Citations per field
00.5×
Stephen M. Doherty · 1×
Citations per year

Countries citing papers authored by Dan Hampson

Since Specialization
Citations

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

Fields of papers citing papers by Dan Hampson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Dan Hampson, 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 Dan Hampson Line = papers co-authored together Dan Hampson links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1986223
2 1991163
3 1997106
4 198489
5 198451
6 199141
7 200031
8 200110
9 200310
10
Sonic log predictions using seismic attributes
19974
11 19931
12
Developing a New Technique Through Partnering with Contractors: Reservoir Prediction Utilizing AVO Walkaway VSP Data to Calibrate Surface Seismic Gathers, a Case Study in Indonesia
19941

About Dan Hampson

Dan Hampson is a scholar working on Geophysics, Ocean Engineering, Mechanical Engineering, Artificial Intelligence and Environmental Engineering, having authored 12 papers that have together received 730 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (10 papers), Drilling and Well Engineering (5 papers), Reservoir Engineering and Simulation Methods (4 papers), Hydraulic Fracturing and Reservoir Analysis (3 papers), NMR spectroscopy and applications (2 papers), Soil Geostatistics and Mapping (2 papers), Neural Networks and Applications (2 papers) and Spectroscopy and Chemometric Analyses (1 paper). The work is most often cited by research in Geophysics (629 citations), Ocean Engineering (377 citations), Mechanical Engineering (240 citations), Mechanics of Materials (120 citations) and Geology (20 citations). Dan Hampson has collaborated with scholars based in United States, Canada and British Virgin Islands. Frequent co-authors include Brian Russell, John Quirein, Jerry M. Mendel, Chong‐Yung Chi, Todor I. Todorov, Larry Lines, John Rice and Scott Leaney. Their work appears in journals such as Exploration Geophysics, The Leading Edge, Geophysics and ASEG Extended Abstracts.

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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