Les E. Shephard

891 total citations
27 papers, 540 citations indexed

About

Les E. Shephard is a scholar working on Artificial Intelligence, Geophysics and Earth-Surface Processes. According to data from OpenAlex, Les E. Shephard has authored 27 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Geophysics and 5 papers in Earth-Surface Processes. Recurrent topics in Les E. Shephard's work include Geological formations and processes (5 papers), Solar Radiation and Photovoltaics (4 papers) and Building Energy and Comfort Optimization (3 papers). Les E. Shephard is often cited by papers focused on Geological formations and processes (5 papers), Solar Radiation and Photovoltaics (4 papers) and Building Energy and Comfort Optimization (3 papers). Les E. Shephard collaborates with scholars based in United States, Spain and Austria. Les E. Shephard's co-authors include Ricardo Guerrero‐Lemus, R. Vega, Taehyeon Kim, William R. Bryant, Arif Butt, Herbert Stradner, R. Unnikrishnan Nair, Neil Lundberg, Jeremy Leggett and Joel S. Watkins and has published in prestigious journals such as Nature, Renewable and Sustainable Energy Reviews and Renewable Energy.

In The Last Decade

Les E. Shephard

26 papers receiving 503 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Les E. Shephard United States 9 256 201 104 84 69 27 540
Joan Rosell Spain 15 303 1.2× 431 2.1× 50 0.5× 43 0.5× 75 1.1× 35 958
D. Chianese Switzerland 15 261 1.0× 356 1.8× 127 1.2× 149 1.8× 86 1.2× 54 632
Enrico Barbier Italy 5 131 0.5× 523 2.6× 54 0.5× 148 1.8× 280 4.1× 13 1.0k
Sunday Edet Etuk Nigeria 15 40 0.2× 125 0.6× 177 1.7× 114 1.4× 86 1.2× 67 770
Yanning Wang China 14 117 0.5× 42 0.2× 155 1.5× 253 3.0× 75 1.1× 70 762
Cristina Sáez Blázquez Spain 14 70 0.3× 268 1.3× 24 0.2× 81 1.0× 118 1.7× 49 492
Qiang Ma China 12 99 0.4× 63 0.3× 29 0.3× 49 0.6× 78 1.1× 78 602
Xinli Lu China 14 94 0.4× 366 1.8× 18 0.2× 70 0.8× 175 2.5× 40 944
Qiming Sun China 14 223 0.9× 70 0.3× 11 0.1× 27 0.3× 60 0.9× 54 539
Antti Ruuskanen Finland 8 289 1.1× 103 0.5× 52 0.5× 5 0.1× 93 1.3× 14 601

Countries citing papers authored by Les E. Shephard

Since Specialization
Citations

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

Fields of papers citing papers by Les E. Shephard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Les E. Shephard. 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 Les E. Shephard. The network helps show where Les E. Shephard may publish in the future.

Co-authorship network of co-authors of Les E. Shephard

This figure shows the co-authorship network connecting the top 25 collaborators of Les E. Shephard. A scholar is included among the top collaborators of Les E. Shephard 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 Les E. Shephard. Les E. Shephard 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.
Shephard, Les E., et al.. (2021). The influence of extreme dust events in the current and future 100% renewable power scenarios in Tenerife. Renewable Energy. 184. 948–959. 15 indexed citations
2.
Richardson, Walter B., Hariharan Krishnaswami, Les E. Shephard, & Rolando Vega. (2017). Machine learning versus ray-tracing to forecast irradiance for an edge-computing SkyImager. 1–6. 6 indexed citations
3.
Richardson, Walter B., et al.. (2017). First Results of a Low Cost All-Sky Imager for Cloud Tracking and Intra-Hour Irradiance Forecasting Serving a PV-Based Smart Grid in La Graciosa Island. 2017 IEEE 44th Photovoltaic Specialist Conference (PVSC). 1116–1121. 3 indexed citations
4.
Guerrero‐Lemus, Ricardo, et al.. (2016). Bifacial solar photovoltaics – A technology review. Renewable and Sustainable Energy Reviews. 60. 1533–1549. 316 indexed citations
5.
Shephard, Les E., et al.. (2016). Atmospheric Water Generation: A Path to Net-Zero. 302. 45–50. 2 indexed citations
6.
Gómez, Juan, et al.. (2013). Coupling Simulation Tools and Real-Time Data to Improve Building Energy Performance. 373–379. 2 indexed citations
7.
Anderson, D.R., et al.. (1998). The 1996 performance assessment for the Waste Isolation Pilot Plant. University of North Texas Digital Library (University of North Texas). 1 indexed citations
8.
Shephard, Les E., Robert J. Glass, Siegel, & Vincent Tidwell. (1990). An experimental program for testing the validity of flow and transport models in unsaturated tuff: The Yucca Mountain Project. University of North Texas Digital Library (University of North Texas). 1 indexed citations
9.
Zimmerman, R.M., et al.. (1990). Excavation effects on tuff - recent findings and plans for investigations at Yucca Mountain. International Journal of Rock Mechanics and Mining Sciences & Geomechanics Abstracts. 27(2). A121–A121. 1 indexed citations
10.
Shephard, Les E.. (1988). Geoscience characterization studies. 1 indexed citations
11.
Shephard, Les E., et al.. (1988). Feasibility of disposal of high-level radioactive wastes into the seabed: Geoscience characterization studies. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 7 indexed citations
12.
Auffret, G. A., et al.. (1986). Comparative geoscience studies of the Madeira and Southern Nares Abyssal Plains: NEA/SWG preference location document. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information).
13.
Auffret, G. A., et al.. (1984). NEA Seabed Working Group status on site qualification for nuclear waste disposal within deep-sea sediment. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3 indexed citations
14.
Chiou, Wen‐An, et al.. (1983). A technique for preparing high water content clayey sediments for thin and ultrathin section study. Sedimentology. 30(2). 295–299. 2 indexed citations
15.
Shephard, Les E. & William R. Bryant. (1983). Geotechnical properties of lower trench inner-slope sediments. Tectonophysics. 99(2-4). 279–312. 13 indexed citations
16.
Moore, J. Casey, Joel S. Watkins, Kenneth J. McMillen, et al.. (1982). Facies belts of the Middle America Trench and forearc region, southern Mexico: results from Leg 66 DSDP. Geological Society London Special Publications. 10(1). 77–94. 34 indexed citations
17.
Almagor, Gideon, et al.. (1982). Stability studies of surficial sediments in the Wilmington-Lindenkohl Canyons area, eastern U.S. margin. Geo-Marine Letters. 2(3-4). 129–134. 4 indexed citations
18.
Shephard, Les E. & William R. Bryant. (1980). Consolidation characteristics of Japan Trench sediments ( DSDP).. 1201–1205. 3 indexed citations
19.
Moore, J. Casey, Joel S. Watkins, Thomas H. Shipley, et al.. (1979). Progressive accretion in the Middle America Trench, Southern Mexico. Nature. 281(5733). 638–642. 41 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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