Nayool Shin

9 total papers · 789 total citations
5 papers, 718 citations indexed

About

Nayool Shin is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Polymers and Plastics. According to data from OpenAlex, Nayool Shin has authored 5 papers receiving a total of 718 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 1 paper in Atomic and Molecular Physics, and Optics and 1 paper in Polymers and Plastics. Recurrent topics in Nayool Shin's work include Organic Electronics and Photovoltaics (5 papers), Thin-Film Transistor Technologies (3 papers) and Advanced Memory and Neural Computing (2 papers). Nayool Shin is often cited by papers focused on Organic Electronics and Photovoltaics (5 papers), Thin-Film Transistor Technologies (3 papers) and Advanced Memory and Neural Computing (2 papers). Nayool Shin collaborates with scholars based in United States and South Korea. Nayool Shin's co-authors include Jihoon Kang, Do Y. Yoon, Vivek M. Prabhu, Jung‐Pyo Hong, Seonghoon Lee, R. Joseph Kline, Dean M. DeLongchamp, Lee J. Richter, Andrew A. Herzing and Sushil K. Satija and has published in prestigious journals such as Journal of the American Chemical Society, Applied Physics Letters and Advanced Functional Materials.

In The Last Decade

Nayool Shin

5 papers receiving 708 citations

Author Peers

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

Author						Papers	Cites
Nayool Shin	674	274	174	118	48	5	718
Nabil Kleinhenz	612 0.9×	501 1.8×	240 1.4×	159 1.3×	31 0.6×	11	719
Thomas Granlund	588 0.9×	315 1.1×	221 1.3×	140 1.2×	74 1.5×	13	696
J. Dane	788 1.2×	574 2.1×	123 0.7×	148 1.3×	41 0.9×	11	862
Dorothea Halliday	642 1.0×	458 1.7×	80 0.5×	196 1.7×	61 1.3×	11	799
Peter Vanlaeke	717 1.1×	553 2.0×	163 0.9×	112 0.9×	71 1.5×	8	769
Michael Salinas	605 0.9×	370 1.4×	95 0.5×	146 1.2×	35 0.7×	7	635
Pierre Boufflet	564 0.8×	486 1.8×	195 1.1×	121 1.0×	34 0.7×	10	699
Saghar Khodabakhsh	594 0.9×	333 1.2×	135 0.8×	203 1.7×	60 1.3×	11	719
Amer Hamidi‐Sakr	519 0.8×	499 1.8×	138 0.8×	172 1.5×	27 0.6×	12	633
Evan P. Donoghue	658 1.0×	266 1.0×	124 0.7×	303 2.6×	49 1.0×	11	875

Countries citing papers authored by Nayool Shin

Since Specialization

Citations

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

Fields of papers citing papers by Nayool Shin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nayool Shin

This figure shows the co-authorship network connecting the top 25 collaborators of Nayool Shin. A scholar is included among the top collaborators of Nayool Shin 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 Nayool Shin. Nayool Shin 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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