Frank Male

1.2k total citations · 1 hit paper
37 papers, 932 citations indexed

About

Frank Male is a scholar working on Ocean Engineering, Mechanical Engineering and Mechanics of Materials. According to data from OpenAlex, Frank Male has authored 37 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Ocean Engineering, 23 papers in Mechanical Engineering and 18 papers in Mechanics of Materials. Recurrent topics in Frank Male's work include Hydraulic Fracturing and Reservoir Analysis (23 papers), Reservoir Engineering and Simulation Methods (21 papers) and Hydrocarbon exploration and reservoir analysis (18 papers). Frank Male is often cited by papers focused on Hydraulic Fracturing and Reservoir Analysis (23 papers), Reservoir Engineering and Simulation Methods (21 papers) and Hydrocarbon exploration and reservoir analysis (18 papers). Frank Male collaborates with scholars based in United States, Saudi Arabia and France. Frank Male's co-authors include Michael Marder, Tadeusz W. Patzek, Bridget R. Scanlon, R. C. Reedy, Ian Duncan, Mark P. Walsh, John Browning, Svetlana Ikonnikova, Larry W. Lake and Bo Ren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Environmental Science & Technology.

In The Last Decade

Frank Male

36 papers receiving 889 citations

Hit Papers

Gas production in the Barnett Shale obeys a simple scalin... 2013 2026 2017 2021 2013 50 100 150 200 250

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Frank Male United States 15 571 540 511 263 149 37 932
Ashkan Zolfaghari Canada 14 548 1.0× 436 0.8× 584 1.1× 308 1.2× 147 1.0× 27 923
Robin Petrusak United States 10 269 0.5× 268 0.5× 395 0.8× 141 0.5× 321 2.2× 20 623
Christopher J. Landry United States 15 292 0.5× 394 0.7× 290 0.6× 44 0.2× 137 0.9× 31 903
John A. Harju United States 18 676 1.2× 846 1.6× 715 1.4× 109 0.4× 548 3.7× 66 1.3k
Bao Jia United States 17 619 1.1× 834 1.5× 818 1.6× 102 0.4× 411 2.8× 55 1.3k
Mohamed Mehana United States 18 343 0.6× 397 0.7× 349 0.7× 67 0.3× 303 2.0× 87 927
Kyungbook Lee South Korea 22 674 1.2× 691 1.3× 280 0.5× 55 0.2× 172 1.2× 73 1.1k
Nino Ripepi United States 21 399 0.7× 920 1.7× 1.0k 2.0× 372 1.4× 244 1.6× 49 1.4k
Abeeb A. Awotunde Saudi Arabia 17 526 0.9× 616 1.1× 225 0.4× 48 0.2× 166 1.1× 70 904
Stephen Rassenfoss United States 10 302 0.5× 395 0.7× 165 0.3× 61 0.2× 67 0.4× 159 545

Countries citing papers authored by Frank Male

Since Specialization
Citations

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

Fields of papers citing papers by Frank Male

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Male

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Male. A scholar is included among the top collaborators of Frank Male 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 Frank Male. Frank Male 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.
Walsh, Mark P., et al.. (2024). Fast Optimization of the Net Present Value of Unconventional Wells Using Rapid Rate-Transient Analysis. SPE Journal. 29(11). 6500–6515. 1 indexed citations
2.
Walsh, Mark P., et al.. (2024). Bayesian variable pressure decline-curve analysis for shale gas wells. SHILAP Revista de lepidopterología. 4. 100103–100103. 1 indexed citations
3.
Walsh, Mark P., et al.. (2023). Bayesian Variable Pressure Decline-Curve Analysis for Shale Gas Wells. 1 indexed citations
4.
Male, Frank, et al.. (2023). Properties of high-performing horizontal wells in the Midland Basin. Interpretation. 11(4). T697–T706.
5.
6.
Male, Frank & Jerry L. Jensen. (2022). Three common statistical missteps we make in reservoir characterization. AAPG Bulletin. 106(11). 2149–2161. 3 indexed citations
7.
Ren, Bo, Jerry L. Jensen, Larry W. Lake, Ian Duncan, & Frank Male. (2021). Analysis of Vertical Permeability and Its Influence on CO2 EOR and Storage in a Carbonate Reservoir. SPE Annual Technical Conference and Exhibition. 3 indexed citations
8.
Male, Frank & Ian Duncan. (2021). The paradox of increasing initial oil production but faster decline rates in fracking the Bakken Shale: Implications for long term productivity of tight oil plays. Journal of Petroleum Science and Engineering. 208. 109406–109406. 11 indexed citations
9.
Male, Frank, et al.. (2020). Permian Delaware Basin Wolfcamp A Formation Productivity Analysis and Technically Recoverable Resource Assessment. Proceedings of the 8th Unconventional Resources Technology Conference. 8 indexed citations
10.
Janson, Xavier, et al.. (2019). An Integrated, Multiscale Geomodel of the Northern Delaware Basin. Proceedings of the 7th Unconventional Resources Technology Conference. 2 indexed citations
11.
Male, Frank. (2019). Using a segregated flow model to forecast production of oil, gas, and water in shale oil plays. Journal of Petroleum Science and Engineering. 180. 48–61. 27 indexed citations
12.
Ren, Bo, Frank Male, Yanyong Wang, et al.. (2019). Oil Saturation in Residual Oil Zones and Its Effect on CO2 WAG Injection Strategies. SPE Annual Technical Conference and Exhibition. 13 indexed citations
13.
Hamlin, H. Scott, et al.. (2019). Evaluating hydrocarbon-in-place and recovery factor in a hybrid petroleum system: Case of Bakken and three forks in North Dakota. Interpretation. 7(3). T607–T624. 10 indexed citations
14.
Male, Frank. (2018). Assessing impact of uncertainties in decline curve analysis through hindcasting. Journal of Petroleum Science and Engineering. 172. 340–348. 4 indexed citations
15.
Ikonnikova, Svetlana, et al.. (2017). Projecting the Water Footprint Associated with Shale Resource Production: Eagle Ford Shale Case Study. Environmental Science & Technology. 51(24). 14453–14461. 30 indexed citations
16.
Male, Frank, et al.. (2017). Forecasting Production From Bakken and Three Forks Wells Using a Segregated Flow Model. mediaTUM (Technical University of Munich). 14 indexed citations
17.
Scanlon, Bridget R., R. C. Reedy, Frank Male, & Mark P. Walsh. (2017). Water Issues Related to Transitioning from Conventional to Unconventional Oil Production in the Permian Basin. Environmental Science & Technology. 51(18). 10903–10912. 119 indexed citations
18.
Male, Frank, et al.. (2016). Production Decline Analysis in the Eagle Ford. 10 indexed citations
19.
Browning, John, Scott W. Tinker, Svetlana Ikonnikova, et al.. (2013). Barnett study determines full-field reserves, production forecast. Oil & gas journal. 111(9). 88–95. 17 indexed citations
20.
Patzek, Tadeusz W., Frank Male, & Michael Marder. (2013). Gas production in the Barnett Shale obeys a simple scaling theory. Proceedings of the National Academy of Sciences. 110(49). 19731–19736. 289 indexed citations breakdown →

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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