Michael Behounek

454 total citations
38 papers, 340 citations indexed

About

Michael Behounek is a scholar working on Ocean Engineering, Mechanical Engineering and Civil and Structural Engineering. According to data from OpenAlex, Michael Behounek has authored 38 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Ocean Engineering, 17 papers in Mechanical Engineering and 9 papers in Civil and Structural Engineering. Recurrent topics in Michael Behounek's work include Drilling and Well Engineering (35 papers), Oil and Gas Production Techniques (27 papers) and Hydraulic Fracturing and Reservoir Analysis (15 papers). Michael Behounek is often cited by papers focused on Drilling and Well Engineering (35 papers), Oil and Gas Production Techniques (27 papers) and Hydraulic Fracturing and Reservoir Analysis (15 papers). Michael Behounek collaborates with scholars based in Canada, United States and British Virgin Islands. Michael Behounek's co-authors include Pradeepkumar Ashok, John Macpherson, Adrian Ambrus, Mojtaba P. Shahri, Brian Nelson, Eric van Oort, Matthew White, Clinton Chapman, John P. de Wardt and Michael Yi and has published in prestigious journals such as Journal of Petroleum Technology, Journal of Canadian Petroleum Technology and SPE Drilling & Completion.

In The Last Decade

Michael Behounek

35 papers receiving 278 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Michael Behounek Canada 12 315 165 118 12 8 38 340
Fred Florence United States 10 287 0.9× 86 0.5× 86 0.7× 17 1.4× 2 0.3× 27 316
D. B. White Norway 8 208 0.7× 123 0.7× 47 0.4× 14 1.2× 2 0.3× 15 227
Eric Maidla Australia 12 344 1.1× 180 1.1× 176 1.5× 51 4.3× 9 1.1× 39 373
Jan Einar Gravdal Norway 12 318 1.0× 202 1.2× 38 0.3× 7 0.6× 1 0.1× 34 339
Abdul Muqtadir Khan United States 13 330 1.0× 346 2.1× 18 0.2× 19 1.6× 10 1.3× 58 392
Dimitris K Karamitros Greece 10 116 0.4× 64 0.4× 396 3.4× 12 1.0× 1 0.1× 24 414
J.C. Cunha Canada 11 402 1.3× 279 1.7× 103 0.9× 58 4.8× 1 0.1× 39 443
Boranbay Ratov Kazakhstan 10 129 0.4× 192 1.2× 135 1.1× 81 6.8× 3 0.4× 71 269
O. V. Trifonov Russia 6 245 0.8× 189 1.1× 381 3.2× 26 2.2× 11 396
F.S. Young United States 6 394 1.3× 322 2.0× 127 1.1× 35 2.9× 16 2.0× 9 426

Countries citing papers authored by Michael Behounek

Since Specialization
Citations

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

Fields of papers citing papers by Michael Behounek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Behounek

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Behounek. A scholar is included among the top collaborators of Michael Behounek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michael Behounek. Michael Behounek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Yi, Michael, et al.. (2024). Applications of Large Language Models in Well Construction Planning and Real-Time Operation. IADC/SPE International Drilling Conference and Exhibition. 3 indexed citations
2.
Ashok, Pradeepkumar, et al.. (2023). Field Testing of an Automated 3D Cuttings and Cavings Measurement Sensor. SPE/IADC International Drilling Conference and Exhibition. 10 indexed citations
3.
Behounek, Michael, et al.. (2023). Deployment of a Hybrid Machine Learning and Physics Based Drilling Advisory System at the Rig Site for ROP Optimization. SPE/IADC International Drilling Conference and Exhibition. 5 indexed citations
4.
Yi, Michael, et al.. (2022). Automated Merging of Time Series and Textual Operations Data to Extract Technical Limiter Re-Design Recommendations. IADC/SPE International Drilling Conference and Exhibition. 3 indexed citations
5.
Dupriest, Fred E., et al.. (2022). Standardization of Mechanical Specific Energy Equations and Nomenclature. SPE Drilling & Completion. 38(1). 73–89. 13 indexed citations
6.
Dupriest, Fred E., et al.. (2022). Standardization of Mechanical Specific Energy Equations and Nomenclature. IADC/SPE International Drilling Conference and Exhibition. 15 indexed citations
7.
Ashok, Pradeepkumar, et al.. (2021). A Probabilistic Belief System to Track the Cleanliness of a Hole in Real-Time. SPE/IADC International Drilling Conference and Exhibition. 3 indexed citations
8.
Yi, Michael, et al.. (2021). Natural Language Processing Applied to Reduction of False and Missed Alarms in Kick and Lost Circulation Detection. SPE Annual Technical Conference and Exhibition. 4 indexed citations
9.
Yi, Michael, et al.. (2021). Time-Series Data Augmentation Techniques for Improving Automated Drilling Dysfunction Classifiers. SPE/IADC International Drilling Conference and Exhibition. 9 indexed citations
10.
11.
Pastusek, Paul, Roman Shor, Eric Cayeux, et al.. (2019). Creating Open Source Models, Test Cases, and Data for Oilfield Drilling Challenges. SPE/IADC International Drilling Conference and Exhibition. 21 indexed citations
12.
Shahri, Mojtaba P., et al.. (2018). Adopting Physical Models in Real-Time Drilling Application: Wellbore Hydraulics. 11 indexed citations
13.
Ashok, Pradeepkumar, et al.. (2018). Monitoring Wellbore Quality in Real-Time Using a Geometrically Derived Tortuosity Metric. Proceedings of the 6th Unconventional Resources Technology Conference. 11 indexed citations
14.
Ambrus, Adrian, et al.. (2018). Self-Learning Probabilistic Detection and Alerting of Drillstring Washout and Pump Failure Incidents During Drilling Operations. IADC/SPE Drilling Conference and Exhibition. 14 indexed citations
15.
Shahri, Mojtaba P., et al.. (2018). Implementation of a Fully Automated Real-Time Torque and Drag Model for Improving Drilling Performance: Case Study. SPE Annual Technical Conference and Exhibition. 16 indexed citations
16.
Ashok, Pradeepkumar, et al.. (2017). A Meta-Data Framework for Transparency in Rate of Penetration Calculations. SPE Annual Technical Conference and Exhibition. 5 indexed citations
17.
18.
Macpherson, John, et al.. (2015). A Framework for Transparency in Drilling Mechanics and Dynamics Measurements. SPE Annual Technical Conference and Exhibition. 47 indexed citations
19.
Wardt, John P. de, et al.. (2013). Drilling Systems Automation - Preparing for the Big Jump Forward. 16 indexed citations
20.
Behounek, Michael. (2003). Five Elements for Successful Knowledge Management. Journal of Canadian Petroleum Technology. 42(4). 2 indexed citations

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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