Gerhard Thonhauser

1.2k citations
103 papers · 815 · h-index 16

Impact in

Papers in

    • Drilling and Well Engineering 83
    • Oil and Gas Production Techniques 40
    • Reservoir Engineering and Simulation Methods 33
    • Hydraulic Fracturing and Reservoir Analysis 30
    • Mineral Processing and Grinding 14
    • Advanced machining processes and optimization 4

Gerhard Thonhauser

98 papers receiving 750 citations

Peers

Gerhard Thonhauser
Comparison fields: 5 of 95
  • Ocean Engineering 612
  • Civil and Structural Engineering 219
  • Mechanical Engineering 344
  • Signal Processing 46
  • Catalysis 26
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Citations per field
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Citations per year

Countries citing papers authored by Gerhard Thonhauser

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Thonhauser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gerhard Thonhauser, 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 Gerhard Thonhauser Line = papers co-authored together Gerhard Thonhauser links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 103 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201236
2
A Statistical Feature-Based Approach for Operations Recognition in Drilling Time Series
201233
3 200632
4 201529
5
Using Real-Time Data for Automated Drilling Performance Analysis
200428
6 201227
7 201226
8 200925
9 200422
10 200722
11 201322
12 201822
13 201120
14 201616
15 202115
16 200815
17 200715
18 201114
19 200613
20 200613

About Gerhard Thonhauser

Gerhard Thonhauser is a scholar working on Ocean Engineering, Mechanical Engineering, Civil and Structural Engineering, Mechanics of Materials and Signal Processing, having authored 103 papers that have together received 815 indexed citations. Recurring topics across this work include Drilling and Well Engineering (83 papers), Oil and Gas Production Techniques (40 papers), Reservoir Engineering and Simulation Methods (33 papers), Hydraulic Fracturing and Reservoir Analysis (30 papers), Tunneling and Rock Mechanics (26 papers), Mineral Processing and Grinding (14 papers), Time Series Analysis and Forecasting (6 papers) and Advanced machining processes and optimization (4 papers). The work is most often cited by research in Ocean Engineering (612 citations), Civil and Structural Engineering (219 citations), Mechanical Engineering (344 citations), Signal Processing (46 citations) and Catalysis (26 citations). Gerhard Thonhauser has collaborated with scholars based in Austria, Brazil and United States. Frequent co-authors include R. Frühwirth, Wolfgang Mathis, Rahman Ashena, A. W. Eustes, Andreas Nascimento, Mauro Hugo Mathias, Eric Maidla, Roland Kalb, Thomas Gamse and Andreas Berger. Their work appears in journals such as Journal of Energy Resources Technology, SPE Reservoir Evaluation & Engineering, Separation and Purification Technology, Measurement and Energy Reports.

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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