Julian Moore

1.9k total citations · 1 hit paper
7 papers, 1.7k citations indexed

About

Julian Moore is a scholar working on Electronic, Optical and Magnetic Materials, Polymers and Plastics and Electrical and Electronic Engineering. According to data from OpenAlex, Julian Moore has authored 7 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Electronic, Optical and Magnetic Materials, 3 papers in Polymers and Plastics and 3 papers in Electrical and Electronic Engineering. Recurrent topics in Julian Moore's work include Supercapacitor Materials and Fabrication (7 papers), Conducting polymers and applications (3 papers) and MXene and MAX Phase Materials (2 papers). Julian Moore is often cited by papers focused on Supercapacitor Materials and Fabrication (7 papers), Conducting polymers and applications (3 papers) and MXene and MAX Phase Materials (2 papers). Julian Moore collaborates with scholars based in United States, Australia and South Korea. Julian Moore's co-authors include Jayan Thomas, Yeonwoong Jung, Chao Li, Nitin Choudhary, Lei Zhai, Narasimha Nagaiah, Hee‐Suk Chung, Chao Li, Md. Monirul Islam and Konstantin Konstantinov and has published in prestigious journals such as Advanced Materials, Nature Communications and ACS Nano.

In The Last Decade

Julian Moore

7 papers receiving 1.7k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Asymmetric Supercapacitor Electrodes and Devices

2017 1.2k citations Nitin Choudhary, Chao Li et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Julian Moore United States	6	1.5k	1.2k	473	400	304	7	1.7k
Liujun Cao China	18	1.6k 1.1×	1.6k 1.2×	471 1.0×	542 1.4×	437 1.4×	29	2.1k
Tshifhiwa M. Masikhwa South Africa	24	1.3k 0.8×	1.1k 0.9×	416 0.9×	437 1.1×	305 1.0×	34	1.5k
Vaibhav C. Lokhande South Korea	29	1.4k 1.0×	1.5k 1.2×	581 1.2×	591 1.5×	431 1.4×	60	2.0k
Fei Wei China	5	1.7k 1.2×	1.6k 1.3×	497 1.1×	449 1.1×	440 1.4×	12	2.0k
Yuxiang Wen China	16	1.1k 0.8×	1.2k 1.0×	271 0.6×	292 0.7×	354 1.2×	19	1.5k
Sonali A. Beknalkar South Korea	23	1.0k 0.7×	949 0.8×	426 0.9×	360 0.9×	336 1.1×	73	1.4k
Swapnil S. Karade India	21	999 0.7×	912 0.7×	308 0.7×	528 1.3×	407 1.3×	43	1.4k
Beatriz Mendoza Sánchez United Kingdom	5	845 0.6×	745 0.6×	367 0.8×	374 0.9×	198 0.7×	7	1.2k
Xuemei Mu China	17	861 0.6×	911 0.7×	278 0.6×	284 0.7×	232 0.8×	26	1.2k
Suprimkumar D. Dhas India	23	1.0k 0.7×	871 0.7×	448 0.9×	372 0.9×	265 0.9×	55	1.4k

Countries citing papers authored by Julian Moore

Since Specialization

Citations

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

Fields of papers citing papers by Julian Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Julian Moore

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

All Works

Sort: Min cites: Since: Top N: Style:

7 of 7 papers shown

1.

Choudhary, Nitin, Chao Li, Julian Moore, et al.. (2017). Supercapacitors: Asymmetric Supercapacitor Electrodes and Devices (Adv. Mater. 21/2017). Advanced Materials. 29(21). 6 indexed citations

2.

Choudhary, Nitin, Chao Li, Julian Moore, et al.. (2017). Asymmetric Supercapacitor Electrodes and Devices. Advanced Materials. 29(21). 1207 indexed citations breakdown →

3.

Li, Chao, Md. Monirul Islam, Julian Moore, et al.. (2016). Wearable energy-smart ribbons for synchronous energy harvest and storage. Nature Communications. 7(1). 13319–13319. 164 indexed citations

4.

Choudhary, Nitin, Chao Li, Hee‐Suk Chung, et al.. (2016). High-Performance One-Body Core/Shell Nanowire Supercapacitor Enabled by Conformal Growth of Capacitive 2D WS₂ Layers. ACS Nano. 10(12). 10726–10735. 237 indexed citations

5.

Yu, Zenan, Julian Moore, Jean Calderon, Lei Zhai, & Jayan Thomas. (2015). Coil-Type Asymmetric Supercapacitor Electrical Cables. Small. 11(39). 5289–5295. 68 indexed citations

6.

Yu, Zenan, Julian Moore, Binh Duong, Chao Li, & Jayan Thomas. (2014). PAN@AuPd@MnO₂ Core-Shell Nanopillars for High-Performance Electrochemical Energy Storage. ECS Transactions. 61(18). 49–53. 5 indexed citations

7.

Yu, Zenan, et al.. (2014). Dual-Function Coaxial Supercapacitor Cable. ECS Transactions. 61(18). 31–36. 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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