Mícheál Burke

24 total papers · 491 total citations
16 papers, 402 citations indexed

About

Mícheál Burke is a scholar working on Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Biomedical Engineering. According to data from OpenAlex, Mícheál Burke has authored 16 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Electrical and Electronic Engineering, 5 papers in Electronic, Optical and Magnetic Materials and 4 papers in Biomedical Engineering. Recurrent topics in Mícheál Burke's work include Semiconductor materials and devices (4 papers), Analytical Chemistry and Sensors (3 papers) and Graphene research and applications (2 papers). Mícheál Burke is often cited by papers focused on Semiconductor materials and devices (4 papers), Analytical Chemistry and Sensors (3 papers) and Graphene research and applications (2 papers). Mícheál Burke collaborates with scholars based in Ireland, Greece and Italy. Mícheál Burke's co-authors include Aidan J. Quinn, Daniela Iacopino, Mary Manning, Richard Murray, Costas Galiotis, Dan O’Connell, Eoghan Vaughan, Labrini Sygellou, Ian M. Povey and Alfonso Martín and has published in prestigious journals such as Advanced Functional Materials, ACS Applied Materials & Interfaces and Nanotechnology.

In The Last Decade

Mícheál Burke

16 papers receiving 397 citations

Author Peers

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

Author						Papers	Cites
Mícheál Burke	264	193	149	94	51	16	402
Sung Min Seo	237 0.9×	235 1.2×	156 1.0×	38 0.4×	98 1.9×	16	418
Muhammad Ahmad	165 0.6×	119 0.6×	197 1.3×	61 0.6×	22 0.4×	25	373
Anna Lipovka	123 0.5×	204 1.1×	150 1.0×	58 0.6×	19 0.4×	22	347
Marco Notarianni	227 0.9×	156 0.8×	249 1.7×	107 1.1×	58 1.1×	16	403
Sunil Walia	215 0.8×	178 0.9×	91 0.6×	50 0.5×	38 0.7×	14	370
Zachary T. Johnson	199 0.8×	180 0.9×	84 0.6×	48 0.5×	77 1.5×	18	415
Wei‐Ran Huang	238 0.9×	244 1.3×	156 1.0×	110 1.2×	11 0.2×	17	439
Varun Penmatsa	196 0.7×	126 0.7×	99 0.7×	106 1.1×	33 0.6×	18	334
Yongkun Sui	218 0.8×	220 1.1×	74 0.5×	31 0.3×	32 0.6×	24	375
Matteo Parmeggiani	235 0.9×	200 1.0×	75 0.5×	59 0.6×	52 1.0×	22	373

Countries citing papers authored by Mícheál Burke

Since Specialization

Citations

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

Fields of papers citing papers by Mícheál Burke

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mícheál Burke

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