RK Shail

1.6k total citations
65 papers, 1.3k citations indexed

About

RK Shail is a scholar working on Geophysics, Artificial Intelligence and Paleontology. According to data from OpenAlex, RK Shail has authored 65 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Geophysics, 29 papers in Artificial Intelligence and 12 papers in Paleontology. Recurrent topics in RK Shail's work include Geological and Geochemical Analysis (38 papers), Geochemistry and Geologic Mapping (28 papers) and earthquake and tectonic studies (21 papers). RK Shail is often cited by papers focused on Geological and Geochemical Analysis (38 papers), Geochemistry and Geologic Mapping (28 papers) and earthquake and tectonic studies (21 papers). RK Shail collaborates with scholars based in United Kingdom, Finland and United States. RK Shail's co-authors include Brian E. Leveridge, Jens Andersen, P.A. Floyd, Wolfgang Franke, Frances E. Jenner, Jamie J. Wilkinson, Wolfgang Dörr, Axel Müller, R. Damian Nance and J. Brendan Murphy and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Tectonophysics.

In The Last Decade

RK Shail

62 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
RK Shail United Kingdom 21 909 473 298 173 125 65 1.3k
Michel Jébrak Canada 21 1.3k 1.5× 751 1.6× 318 1.1× 107 0.6× 110 0.9× 91 1.7k
Klaus J. Schulz United States 22 1.1k 1.3× 553 1.2× 255 0.9× 222 1.3× 89 0.7× 66 1.6k
Lorenzo Toscani Italy 18 1.1k 1.3× 390 0.8× 363 1.2× 89 0.5× 78 0.6× 44 1.5k
David I. Schofield United Kingdom 26 1.3k 1.4× 352 0.7× 161 0.5× 401 2.3× 116 0.9× 72 1.6k
Patricia Patrier France 20 693 0.8× 279 0.6× 231 0.8× 81 0.5× 100 0.8× 61 1.1k
Rosolino Cirrincione Italy 24 1.3k 1.4× 286 0.6× 130 0.4× 90 0.5× 133 1.1× 95 1.6k
I.H.C. Henderson Norway 19 1.0k 1.1× 469 1.0× 175 0.6× 141 0.8× 69 0.6× 39 1.4k
J. Naden United Kingdom 20 1.0k 1.1× 717 1.5× 242 0.8× 82 0.5× 40 0.3× 51 1.4k
Éric Marcoux France 29 1.8k 2.0× 1.1k 2.4× 481 1.6× 205 1.2× 69 0.6× 85 2.4k
Abdel-Rahman Fowler United Arab Emirates 19 1.7k 1.8× 877 1.9× 138 0.5× 156 0.9× 124 1.0× 48 2.0k

Countries citing papers authored by RK Shail

Since Specialization
Citations

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

Fields of papers citing papers by RK Shail

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of RK Shail

This figure shows the co-authorship network connecting the top 25 collaborators of RK Shail. A scholar is included among the top collaborators of RK Shail 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 RK Shail. RK Shail 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.
Putzolu, Francesco, Reimar Seltmann, Alla Dolgopolova, et al.. (2024). Influence of magmatic and magmatic-hydrothermal processes on the lithium endowment of micas in the Cornubian Batholith (SW England). Mineralium Deposita. 59(6). 1067–1088. 11 indexed citations
2.
Hudson, Thomas, et al.. (2024). Seismic Node Arrays for Enhanced Understanding and Monitoring of Geothermal Systems. SHILAP Revista de lepidopterología. 4(3). 161–171. 2 indexed citations
3.
4.
Allen, Michael J., Jim Buckman, D. R. Faulkner, et al.. (2024). Effects of Chemical Alteration on Frictional Properties in a Deep, Granitic, Geothermal System in Cornwall: Direct Shear Experiments at Near In Situ Conditions. Journal of Geophysical Research Solid Earth. 129(10). 1 indexed citations
5.
Watts, A. B., et al.. (2024). The Permian Cornubian granite batholith, SW England; Part 2: Gravity anomalies, structure, and state of isostasy. Geological Society of America Bulletin. 136(9-10). 4381–4397. 4 indexed citations
6.
7.
Shail, RK, et al.. (2022). A single multi-scale and multi-sourced semi-automated lineament detection technique for detailed structural mapping with applications to geothermal energy exploration. Quarterly Journal of Engineering Geology and Hydrogeology. 56(2). 2 indexed citations
8.
Deady, Eimear, et al.. (2022). Bismuth: Economic geology and value chains. Ore Geology Reviews. 143. 104722–104722. 42 indexed citations
9.
Bevins, R. E., Duncan Pirrie, Rob Ixer, et al.. (2020). Constraining the provenance of the Stonehenge ‘Altar Stone’: Evidence from automated mineralogy and U–Pb zircon age dating. Journal of Archaeological Science. 120. 105188–105188. 18 indexed citations
10.
Shail, RK, et al.. (2020). A machine learning approach to tungsten prospectivity modelling using knowledge-driven feature extraction and model confidence. Geoscience Frontiers. 11(6). 2067–2081. 20 indexed citations
11.
Pirrie, Duncan, et al.. (2019). Automated mineralogical profiling of soils as an indicator of local bedrock lithology: a tool for predictive forensic geolocation. Geological Society London Special Publications. 492(1). 261–280. 6 indexed citations
12.
Middleton, Maarit, et al.. (2018). Integrated Object-Based Image Analysis for semi-automated geological lineament detection in southwest England. Computers & Geosciences. 123. 137–148. 32 indexed citations
13.
Whitehouse, Martin J., et al.. (2017). Age and petrogenesis of the Lundy granite: Paleocene intraplate peraluminous magmatism in the Bristol Channel, UK. Journal of the Geological Society. 175(1). 44–59. 7 indexed citations
14.
Andersen, Jens, et al.. (2016). Indium mineralisation in SW England: Host parageneses and mineralogical relations. Ore Geology Reviews. 78. 213–238. 41 indexed citations
15.
Spalletti, Luís A., Duncan Pirrie, Gonzalo D. Veiga, et al.. (2015). ANÁLISIS MINERALÓGICO INTEGRADO (QEMSCAN Y DRX) DE LUTITAS NEGRAS: LOS DEPÓSITOS TITHONIANOS BASALES DE LA FORMACIÓN VACA MUERTA (CUENCA NEUQUINA, ARGENTINA). SHILAP Revista de lepidopterología. 22(1). 13–28. 6 indexed citations
16.
Rabindranath, Kannaiyan S, Teena Bansal, John Adams, et al.. (2009). Systematic review of antimicrobials for the prevention of haemodialysis catheter-related infections. Nephrology Dialysis Transplantation. 24(12). 3763–3774. 52 indexed citations
17.
Scott, P., et al.. (2007). The Geodiversity Profile Handbook. Open Research Exeter (University of Exeter). 4 indexed citations
18.
Floyd, P.A., Brian E. Leveridge, Wolfgang Franke, RK Shail, & Wolfgang Dörr. (1990). Provenance and depositional environment of Rhenohercynian synorogenic greywackes from the Giessen Nappe, Germany. International Journal of Earth Sciences. 79(3). 611–626. 69 indexed citations
19.
Shail, RK. (1989). Gramscatho-Mylor facies relationships; Hayle, south Cornwall. Open Research Exeter (University of Exeter). 2 indexed citations
20.
Shail, RK & P.A. Floyd. (1988). An evaluation of flysch provenance: example from the Gramscatho Group of southern Cornwall. 7. 62–66. 6 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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