John H. Doveton

945 total citations
42 papers, 578 citations indexed

About

John H. Doveton is a scholar working on Mechanics of Materials, Artificial Intelligence and Geochemistry and Petrology. According to data from OpenAlex, John H. Doveton has authored 42 papers receiving a total of 578 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanics of Materials, 13 papers in Artificial Intelligence and 12 papers in Geochemistry and Petrology. Recurrent topics in John H. Doveton's work include Hydrocarbon exploration and reservoir analysis (16 papers), Geochemistry and Geologic Mapping (13 papers) and Geological Modeling and Analysis (9 papers). John H. Doveton is often cited by papers focused on Hydrocarbon exploration and reservoir analysis (16 papers), Geochemistry and Geologic Mapping (13 papers) and Geological Modeling and Analysis (9 papers). John H. Doveton collaborates with scholars based in United States, Canada and Netherlands. John H. Doveton's co-authors include Daniel F. Merriam, John C. Davis, John W. Harbaugh, G.P. Willhite, W. Lynn Watney, Alan P. Byrnes, Barbara Sherwood Lollar, K. David Newell, Chicheng Xu and Ivan Martini and has published in prestigious journals such as Journal of the American Statistical Association, Geology and Chemical Geology.

In The Last Decade

John H. Doveton

37 papers receiving 508 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John H. Doveton United States 13 301 187 173 151 124 42 578
George B. Asquith United States 9 357 1.2× 255 1.4× 189 1.1× 271 1.8× 79 0.6× 35 585
Irene Espejo United States 7 525 1.7× 241 1.3× 173 1.0× 135 0.9× 76 0.6× 15 656
Guoping Bai China 14 434 1.4× 138 0.7× 133 0.8× 104 0.7× 91 0.7× 29 520
M. Rider United Kingdom 4 430 1.4× 300 1.6× 239 1.4× 387 2.6× 123 1.0× 6 873
Joyce Neilson United Kingdom 13 394 1.3× 184 1.0× 178 1.0× 261 1.7× 54 0.4× 32 663
Zhidong Bao China 16 455 1.5× 265 1.4× 193 1.1× 120 0.8× 99 0.8× 66 696
Mohamed O. Abouelresh Saudi Arabia 14 606 2.0× 342 1.8× 264 1.5× 95 0.6× 183 1.5× 40 792
Mohammad Reza Kamali Iran 14 560 1.9× 166 0.9× 145 0.8× 154 1.0× 204 1.6× 33 802
James W. Schmoker United States 13 917 3.0× 403 2.2× 310 1.8× 215 1.4× 271 2.2× 78 1.2k
Michel T. Halbouty United States 11 387 1.3× 103 0.6× 118 0.7× 234 1.5× 84 0.7× 47 764

Countries citing papers authored by John H. Doveton

Since Specialization
Citations

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

Fields of papers citing papers by John H. Doveton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John H. Doveton. 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 John H. Doveton. The network helps show where John H. Doveton may publish in the future.

Co-authorship network of co-authors of John H. Doveton

This figure shows the co-authorship network connecting the top 25 collaborators of John H. Doveton. A scholar is included among the top collaborators of John H. Doveton 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 John H. Doveton. John H. Doveton 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.
2.
Xu, Chicheng, et al.. (2021). Diagenetic Facies Classification in the Arbuckle Formation Using Deep Neural Networks. Mathematical Geosciences. 53(7). 1491–1512. 18 indexed citations
3.
Doveton, John H., et al.. (2016). FAR-FIELD RESERVOIR PRESSURE INCREASES AND SEISMICITY IN SOUTH-CENTRAL KANSAS. Abstracts with programs - Geological Society of America. 2 indexed citations
4.
Doveton, John H., et al.. (2014). Textural and pore size analysis of carbonates from integrated core and nuclear magnetic resonance logging: An Arbuckle study. Interpretation. 3(1). SA77–SA89. 19 indexed citations
5.
Petronis, Michael, et al.. (2012). The Neogene Ogallala Formation in Southwestern Kansas and Northeastern New Mexico: Preliminary Magnetostratigraphic Analyses for the High Plains-Ogallala Drilling Program. AGUFM. 2012. 1 indexed citations
6.
Merriam, Daniel F., et al.. (2007). Northeast Kansas well tests oil, gas possibilities in Precambrian rocks. Oil & gas journal. 105(35). 54–58. 4 indexed citations
7.
Newell, K. David, et al.. (2007). H2-rich and Hydrocarbon Gas Recovered in a Deep Precambrian Well in Northeastern Kansas. Natural Resources Research. 16(3). 277–292. 36 indexed citations
8.
Watney, W. Lynn, et al.. (1995). Cycle Hierarchy and Genetic Stratigraphy of Middle and Upper Pennsylvanian Strata in the Upper Mid-Continent. 141–192. 11 indexed citations
9.
Doveton, John H.. (1994). Geologic log interpretation : reading the rocks from wireline logs. SEPM (Society for Sedimentary Geology) eBooks. 5 indexed citations
10.
Doveton, John H., et al.. (1991). Application of a simple cerebellar model to geologic surface mapping. Computers & Geosciences. 17(4). 561–567. 2 indexed citations
11.
Doveton, John H., et al.. (1990). Lithofacies analysis of the Simpson Group in south-central Kansas. Bulletin (Kansas Geological Survey). 1–34. 1 indexed citations
12.
Collins, David R. & John H. Doveton. (1989). Applying color information theory to the display of lithologic images from wireline logs. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 2 indexed citations
13.
Collins, David R. & John H. Doveton. (1988). Colour Image Transformations of Wireline Logs as a Medium for Sedimentary Profile Analysis. Bulletin of Canadian Petroleum Geology. 36(2). 186–190. 1 indexed citations
14.
Doveton, John H.. (1986). Log Analysis of Subsurface Geology: Concepts and Computer Methods. Medical Entomology and Zoology. 52 indexed citations
15.
Doveton, John H.. (1984). Three-Dimensional Trend Mapping Using Gamma-Ray Well Logs: Simpson Group, South-Central Kansas. AAPG Bulletin. 68. 1 indexed citations
16.
Doveton, John H.. (1979). Numerical methods for the reconstruction of fossil material in three dimensions. Geological Magazine. 116(3). 215–226. 9 indexed citations
17.
Martini, Ivan, Mario Sagri, & John H. Doveton. (1978). Lithologic transition and bed thickness periodicities in turbidite successions of the Antola Formation, Northern Apennines, Italy. Sedimentology. 25(5). 605–623. 15 indexed citations
18.
Harbaugh, John W., John H. Doveton, & John C. Davis. (1977). Probability methods in oil exploration. [Book with glossary]. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 4 indexed citations
19.
Doveton, John H.. (1976). Linear discriminant analysis can be used as an oil-prospect exploration guideline. [Predictive model of promising locales]. Oil & gas journal. 1 indexed citations
20.
Doveton, John H., et al.. (1974). Markov Chain and Substitutability Analysis of a Turbidite Succession, Cloridorme Formation (Middle Ordovician), Gaspé, Quebec. Canadian Journal of Earth Sciences. 11(3). 472–488. 8 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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