Erica Eggleton

483 total citations
7 papers, 344 citations indexed

About

Erica Eggleton is a scholar working on Electrical and Electronic Engineering, Renewable Energy, Sustainability and the Environment and Materials Chemistry. According to data from OpenAlex, Erica Eggleton has authored 7 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 3 papers in Renewable Energy, Sustainability and the Environment and 3 papers in Materials Chemistry. Recurrent topics in Erica Eggleton's work include Fuel Cells and Related Materials (4 papers), Electrocatalysts for Energy Conversion (3 papers) and Membrane-based Ion Separation Techniques (2 papers). Erica Eggleton is often cited by papers focused on Fuel Cells and Related Materials (4 papers), Electrocatalysts for Energy Conversion (3 papers) and Membrane-based Ion Separation Techniques (2 papers). Erica Eggleton collaborates with scholars based in United States, Canada and Singapore. Erica Eggleton's co-authors include Tushar Swamy, Sean R. Bishop, Lukas Porz, Frank P. McGrogan, Yet‐Ming Chiang, Krystyn J. Van Vliet, Xinwei Chen, Ryan Anderson, Lifeng Zhang and Zhijie Xu and has published in prestigious journals such as Advanced Energy Materials, International Journal of Hydrogen Energy and Energies.

In The Last Decade

Erica Eggleton

7 papers receiving 339 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Erica Eggleton United States	5	334	169	76	21	16	7	344
Yannik Moryson Germany	8	341 1.0×	205 1.2×	61 0.8×	7 0.3×	27 1.7×	13	377
Hanwen An China	11	452 1.4×	163 1.0×	94 1.2×	21 1.0×	25 1.6×	17	488
Xiaoyu Xu China	7	264 0.8×	110 0.7×	48 0.6×	6 0.3×	19 1.2×	13	285
Ruixin Lv China	11	369 1.1×	172 1.0×	80 1.1×	12 0.6×	20 1.3×	15	394
Tianyang Yu China	9	261 0.8×	149 0.9×	43 0.6×	12 0.6×	29 1.8×	17	297
Jiawen Tang China	10	305 0.9×	125 0.7×	77 1.0×	10 0.5×	26 1.6×	20	333
Jingui Yang China	7	387 1.2×	172 1.0×	55 0.7×	7 0.3×	28 1.8×	10	405
Ruheng Jiang China	8	324 1.0×	115 0.7×	46 0.6×	25 1.2×	12 0.8×	13	328
Junyu Jiao China	9	280 0.8×	149 0.9×	71 0.9×	10 0.5×	26 1.6×	10	315
Yuansen Xie China	10	310 0.9×	157 0.9×	45 0.6×	7 0.3×	22 1.4×	15	320

Countries citing papers authored by Erica Eggleton

Since Specialization

Citations

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

Fields of papers citing papers by Erica Eggleton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erica Eggleton

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

All Works

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7 of 7 papers shown

1.

Wang, Dewei, Jie Bao, Miguel Zamarripa, et al.. (2023). A coupled reinforcement learning and IDAES process modeling framework for automated conceptual design of energy and chemical systems. Energy Advances. 2(10). 1735–1751. 2 indexed citations

2.

Wang, Dewei, Jie Bao, Zhijie Xu, et al.. (2021). Machine Learning Tools Set for Natural Gas Fuel Cell System Design. ECS Transactions. 103(1). 2283–2292. 5 indexed citations

3.

Eggleton, Erica, et al.. (2017). Quantifying Cathode Water Transport via Anode Relative Humidity Measurements in a Polymer Electrolyte Membrane Fuel Cell. Energies. 10(8). 1222–1222. 5 indexed citations

4.

McGrogan, Frank P., Tushar Swamy, Sean R. Bishop, et al.. (2017). Compliant Yet Brittle Mechanical Behavior of Li₂S–P₂S₅ Lithium‐Ion‐Conducting Solid Electrolyte. Advanced Energy Materials. 7(12). 265 indexed citations

5.

McGrogan, Frank P., Tushar Swamy, Sean R. Bishop, et al.. (2017). Compliant Yet Brittle Mechanical Behavior of Li₂S–P₂S₅ Lithium-Ion-Conducting Solid Electrolyte. DSpace@MIT (Massachusetts Institute of Technology). 38 indexed citations

6.

Eggleton, Erica, et al.. (2016). Investigation of Water Transport Within a Proton Exchange Membrane Fuel Cell by Diffusion Layer Saturation Analysis. 2 indexed citations

7.

Anderson, Ryan, Erica Eggleton, & Lifeng Zhang. (2014). Development of two-phase flow regime specific pressure drop models for proton exchange membrane fuel cells. International Journal of Hydrogen Energy. 40(2). 1173–1185. 27 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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