Robin White

2.1k total citations · 1 hit paper
42 papers, 1.7k citations indexed

About

Robin White is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Polymers and Plastics. According to data from OpenAlex, Robin White has authored 42 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Electrical and Electronic Engineering, 22 papers in Materials Chemistry and 7 papers in Polymers and Plastics. Recurrent topics in Robin White's work include Fuel Cells and Related Materials (15 papers), Advancements in Solid Oxide Fuel Cells (7 papers) and Electrocatalysts for Energy Conversion (7 papers). Robin White is often cited by papers focused on Fuel Cells and Related Materials (15 papers), Advancements in Solid Oxide Fuel Cells (7 papers) and Electrocatalysts for Energy Conversion (7 papers). Robin White collaborates with scholars based in Canada, United States and China. Robin White's co-authors include Zheng‐Hong Lu, Erik Kjeang, Francesco P. Orfino, Monica Dutta, Jaehan Lee, A. J. Louli, Zhe Deng, J. R. Dahn, Rochelle Weber and Ahmed Eldesoky and has published in prestigious journals such as Nature Communications, Nano Letters and Applied Physics Letters.

In The Last Decade

Robin White

42 papers receiving 1.6k citations

Hit Papers

Diagnosing and correcting anode-free cell failure via ele... 2020 2026 2022 2024 2020 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robin White Canada 21 1.4k 467 457 359 154 42 1.7k
Yasuhiko Fujita Japan 21 1.2k 0.9× 348 0.7× 646 1.4× 89 0.2× 104 0.7× 115 2.0k
Jingmin Zhang China 25 1.5k 1.1× 208 0.4× 1.1k 2.4× 184 0.5× 152 1.0× 78 2.3k
Peng Xu China 36 2.9k 2.1× 156 0.3× 2.2k 4.8× 367 1.0× 811 5.3× 123 3.9k
Jun‐Sik Lee United States 23 981 0.7× 400 0.9× 393 0.9× 199 0.6× 50 0.3× 64 1.7k
Kenji Takahashi Japan 24 1.5k 1.1× 141 0.3× 359 0.8× 34 0.1× 92 0.6× 109 2.0k
Taizo Masuda Japan 23 1.3k 1.0× 169 0.4× 625 1.4× 232 0.6× 62 0.4× 105 1.5k
Rui Yang China 23 373 0.3× 108 0.2× 808 1.8× 92 0.3× 48 0.3× 89 1.6k
Siyang Liu China 24 2.2k 1.6× 81 0.2× 383 0.8× 200 0.6× 99 0.6× 281 2.8k
Daniel A. Cogswell United States 13 1.4k 1.1× 991 2.1× 309 0.7× 63 0.2× 82 0.5× 23 1.9k
B. V. Ratnakumar United States 34 3.8k 2.8× 2.6k 5.5× 706 1.5× 93 0.3× 151 1.0× 137 4.4k

Countries citing papers authored by Robin White

Since Specialization
Citations

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

Fields of papers citing papers by Robin White

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robin White

This figure shows the co-authorship network connecting the top 25 collaborators of Robin White. A scholar is included among the top collaborators of Robin White 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 Robin White. Robin White 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.
Wang, Ying Da, Quentin Meyer, Kunning Tang, et al.. (2023). Large-scale physically accurate modelling of real proton exchange membrane fuel cell with deep learning. Nature Communications. 14(1). 745–745. 115 indexed citations
2.
Orfino, Francesco P., Yadvinder Singh, Dilip Ramani, et al.. (2022). Polymer Electrolyte Fuel Cell Degradation Investigations Using X-Ray Computed Tomography. ECS Meeting Abstracts. MA2022-01(41). 2508–2508. 1 indexed citations
3.
Andrew, Matthew, et al.. (2022). Fully automated deep learning-based resolution recovery. 20–20. 4 indexed citations
4.
Tang, Kunning, Quentin Meyer, Robin White, et al.. (2022). Deep learning for full-feature X-ray microcomputed tomography segmentation of proton electron membrane fuel cells. Computers & Chemical Engineering. 161. 107768–107768. 32 indexed citations
6.
Tordoff, B., Cheryl Hartfield, Marcus Kaestner, et al.. (2020). The LaserFIB: new application opportunities combining a high-performance FIB-SEM with femtosecond laser processing in an integrated second chamber. Han-guk hyeonmigyeong hakoeji/Applied microscopy. 50(1). 24–24. 22 indexed citations
7.
Huang, Shan, et al.. (2020). Understanding Li-Ion Cell Internal Short Circuit and Thermal Runaway through Small, Slow and In Situ Sensing Nail Penetration. Journal of The Electrochemical Society. 167(9). 90526–90526. 46 indexed citations
8.
Lee, Hye Ryoung, Lei Liao, Xiao Wang, et al.. (2020). Three-Dimensional Analysis of Particle Distribution on Filter Layers inside N95 Respirators by Deep Learning. Nano Letters. 21(1). 651–657. 50 indexed citations
9.
White, Robin & Stephen T. Kelly. (2020). Correlative, Multi-scale, Lab-based X-ray Tomography: From Millimeters to Nanometers. Microscopy and Microanalysis. 26(S2). 1002–1003. 4 indexed citations
10.
11.
White, Robin, Emmanuel S. Thibau, & Zheng‐Hong Lu. (2016). Interface Structure of MoO3 on Organic Semiconductors. Scientific Reports. 6(1). 21109–21109. 72 indexed citations
12.
White, Robin, Alex Wu, Francesco P. Orfino, Monica Dutta, & Erik Kjeang. (2016). In Situ Visualization of Cathode Catalyst Layer Degradation in Fuel Cells Using X-Ray Computed Tomography. ECS Meeting Abstracts. MA2016-02(38). 2519–2519. 1 indexed citations
13.
White, Robin, et al.. (2016). Communication—Effect of Micro-XCT X-ray Exposure on the Performance of Polymer Electrolyte Fuel Cells. Journal of The Electrochemical Society. 163(10). F1206–F1208. 19 indexed citations
14.
White, Robin, Francesco P. Orfino, Mohamed El Hannach, et al.. (2016). 3D Printed Flow Field and Fixture for Visualization of Water Distribution in Fuel Cells by X-ray Computed Tomography. Journal of The Electrochemical Society. 163(13). F1337–F1343. 44 indexed citations
15.
Lessard, Benoît H., Trevor M. Grant, Robin White, et al.. (2015). The position and frequency of fluorine atoms changes the electron donor/acceptor properties of fluorophenoxy silicon phthalocyanines within organic photovoltaic devices. Journal of Materials Chemistry A. 3(48). 24512–24524. 45 indexed citations
16.
Jiang, Nan, Dengke Wang, Deying Luo, et al.. (2013). Formation of Metal-like Junction at Indium Tin Oxide/C60Interface. Journal of The Electrochemical Society. 161(1). H21–H24. 3 indexed citations
17.
Vranesic, Z.G., Michael Stumm, David Lewis, & Robin White. (2002). Hector-a hierarchically structured shared memory multiprocessor. i. 444–453. 4 indexed citations
18.
White, Robin, et al.. (1993). A Tribute to Geza Vermes: Essays on Jewish and Christian Literature and History. Vetus Testamentum. 43(1). 142–142. 10 indexed citations
19.
White, Robin, et al.. (1993). Intuition, case work and testing: A holistic approach to the corrosion of a 12% chromium steel in aqueous environments. Corrosion Science. 35(1-4). 303–315. 3 indexed citations
20.
White, Robin & J.B. Malherbe. (1986). An Auger electron spectroscopic investigation on mild-steel corrosion in silicate-treated water. Applied Surface Science. 25(1-2). 32–40. 3 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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