Rathnait Long

16 total papers · 403 total citations
11 papers, 376 citations indexed

About

Rathnait Long is a scholar working on Electrical and Electronic Engineering, Materials Chemistry and Condensed Matter Physics. According to data from OpenAlex, Rathnait Long has authored 11 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Electrical and Electronic Engineering, 4 papers in Materials Chemistry and 3 papers in Condensed Matter Physics. Recurrent topics in Rathnait Long's work include Semiconductor materials and devices (11 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and GaN-based semiconductor devices and materials (3 papers). Rathnait Long is often cited by papers focused on Semiconductor materials and devices (11 papers), Advancements in Semiconductor Devices and Circuit Design (4 papers) and GaN-based semiconductor devices and materials (3 papers). Rathnait Long collaborates with scholars based in United States, Ireland and United Kingdom. Rathnait Long's co-authors include Paul C. McIntyre, Paul K. Hurley, Byungha Shin, J. R. Weber, Chris G. Van de Walle, Dennis Nordlund, Shaul Aloni, D. M. Zhernokletov, Marika Gunji and Yoshio Nishi and has published in prestigious journals such as Applied Physics Letters, ACS Applied Materials & Interfaces and Materials.

In The Last Decade

Rathnait Long

11 papers receiving 366 citations

Author Peers

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

Author						Papers	Cites
Rathnait Long	340	151	132	125	89	11	376
O. Lopatiuk	194 0.6×	105 0.7×	270 2.0×	183 1.5×	29 0.3×	15	346
Y. Otoki	244 0.7×	277 1.8×	78 0.6×	146 1.2×	83 0.9×	13	333
L. T. Tung	336 1.0×	56 0.4×	154 1.2×	102 0.8×	92 1.0×	12	353
M. A. Khan	138 0.4×	144 1.0×	189 1.4×	99 0.8×	94 1.1×	15	335
Hyungkun Kim	176 0.5×	311 2.1×	173 1.3×	92 0.7×	128 1.4×	14	364
R. D. Long	348 1.0×	80 0.5×	149 1.1×	66 0.5×	129 1.4×	16	392
Saadat Mishkat‐Ul‐Masabih	247 0.7×	322 2.1×	131 1.0×	129 1.0×	138 1.6×	16	422
Sung‐Wen Huang Chen	284 0.8×	214 1.4×	185 1.4×	81 0.6×	45 0.5×	9	400
Joshua Perozek	239 0.7×	302 2.0×	100 0.8×	154 1.2×	47 0.5×	12	350
J. C. Read	131 0.4×	85 0.6×	179 1.4×	112 0.9×	272 3.1×	10	367

Countries citing papers authored by Rathnait Long

Since Specialization

Citations

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

Fields of papers citing papers by Rathnait Long

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rathnait Long

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