David Scantlebury

14 total papers · 527 total citations
10 papers, 437 citations indexed

About

David Scantlebury is a scholar working on Materials Chemistry, Civil and Structural Engineering and Electrical and Electronic Engineering. According to data from OpenAlex, David Scantlebury has authored 10 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Materials Chemistry, 3 papers in Civil and Structural Engineering and 2 papers in Electrical and Electronic Engineering. Recurrent topics in David Scantlebury's work include Corrosion Behavior and Inhibition (8 papers), Concrete Corrosion and Durability (3 papers) and Low-power high-performance VLSI design (1 paper). David Scantlebury is often cited by papers focused on Corrosion Behavior and Inhibition (8 papers), Concrete Corrosion and Durability (3 papers) and Low-power high-performance VLSI design (1 paper). David Scantlebury collaborates with scholars based in United Kingdom, China and Spain. David Scantlebury's co-authors include Gang Shen, Chien-Jung Lin, Lu-Yin Lin, Ricardo M. Souto, S.B. Lyon, Andrei Mihai, P.L. Bonora, Fosca Di Gabriele, Luis Fernández‐Mérida and S. González and has published in prestigious journals such as Electrochimica Acta, Corrosion Science and Progress in Organic Coatings.

In The Last Decade

David Scantlebury

10 papers receiving 416 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Scantlebury 320 88 75 69 67 10 437
Zeynab Mahidashti 291 0.9× 112 1.3× 161 2.1× 98 1.4× 71 1.1× 14 462
Samaneh Sharifi Golru 287 0.9× 61 0.7× 70 0.9× 93 1.3× 44 0.7× 11 460
R. Steinberger 260 0.8× 54 0.6× 102 1.4× 47 0.7× 48 0.7× 13 392
Li Lei 317 1.0× 136 1.5× 56 0.7× 73 1.1× 136 2.0× 16 479
K. A. Lill 352 1.1× 60 0.7× 118 1.6× 51 0.7× 96 1.4× 12 410
R. Remya 244 0.8× 123 1.4× 64 0.9× 54 0.8× 56 0.8× 11 381
L. Wilson 340 1.1× 98 1.1× 67 0.9× 102 1.5× 42 0.6× 9 385
Yu-Ren Huang 300 0.9× 119 1.4× 79 1.1× 107 1.6× 55 0.8× 21 447
S. Esmailzadeh 214 0.7× 143 1.6× 165 2.2× 63 0.9× 103 1.5× 11 464
M. Wolpers 364 1.1× 44 0.5× 105 1.4× 146 2.1× 82 1.2× 16 442

Countries citing papers authored by David Scantlebury

Since Specialization
Citations

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

Fields of papers citing papers by David Scantlebury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Scantlebury

This figure shows the co-authorship network connecting the top 25 collaborators of David Scantlebury. A scholar is included among the top collaborators of David Scantlebury 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 David Scantlebury. David Scantlebury is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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