Greg Partyka

1.1k citations
4 papers · 764 · 1 hit paper · h-index 3

Impact in

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

Papers in

    • Seismic Imaging and Inversion Techniques 3
    • Seismic Waves and Analysis 2
    • Reservoir Engineering and Simulation Methods 2

Greg Partyka

4 papers receiving 684 citations

Greg Partyka's Hit Papers

Interpretational applications of spectral decomposition in reservoir characterization 1999 · 647 citations
6470+9+18Years since publication200400600

Peers

Greg Partyka
Comparison fields: 5 of 30
  • Geophysics 686
  • Ocean Engineering 308
  • Earth-Surface Processes 103
  • Geology 61
  • Mechanics of Materials 249
Replace James M. Gridley with:
James M. Gridley United States
David N. Whitcombe United Kingdom
James S. Schuelke United States
M. B. Widess
Paulo Roberto Schroeder Johann Brazil
Mike S. Bahorich United States
Fred Hilterman United States
Marcílio Castro de Matos Brazil
Christian F. W. Höcker Netherlands
Rob Simm United Kingdom
Greg Partyka relative to James M. Gridley United States James M. Gridley's profile →
Citations per field
00.5×1.5×
James M. Gridley · 1×
Citations per year

Countries citing papers authored by Greg Partyka

Since Specialization
Citations

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

Fields of papers citing papers by Greg Partyka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 2 scholars most cited alongside Greg Partyka, 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 Greg Partyka Line = papers co-authored together Greg Partyka links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown
#Work
1
Interpretational applications of spectral decomposition in reservoir characterization
Hit paper breakdown →
1999647
2 1998102
3 199712
4 20073

About Greg Partyka

Greg Partyka is a scholar working on Geophysics, Ocean Engineering, Mechanics of Materials, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 4 papers that have together received 764 indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (3 papers), Reservoir Engineering and Simulation Methods (2 papers), Seismic Waves and Analysis (2 papers) and Hydrocarbon exploration and reservoir analysis (2 papers). The work is most often cited by research in Geophysics (686 citations), Ocean Engineering (308 citations), Earth-Surface Processes (103 citations), Geology (61 citations) and Mechanics of Materials (249 citations). Greg Partyka has collaborated with scholars based in United States. Frequent co-authors include James M. Gridley and John A. Lopez. Their work appears in journals such as The Leading Edge.

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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