A. Mac Raighne

100 total papers · 5.0k total citations
15 papers, 88 citations indexed

About

A. Mac Raighne is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, A. Mac Raighne has authored 15 papers receiving a total of 88 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Electrical and Electronic Engineering, 5 papers in Biomedical Engineering and 4 papers in Automotive Engineering. Recurrent topics in A. Mac Raighne's work include CCD and CMOS Imaging Sensors (6 papers), Spatial Cognition and Navigation (4 papers) and Particle Detector Development and Performance (4 papers). A. Mac Raighne is often cited by papers focused on CCD and CMOS Imaging Sensors (6 papers), Spatial Cognition and Navigation (4 papers) and Particle Detector Development and Performance (4 papers). A. Mac Raighne collaborates with scholars based in Ireland, United Kingdom and Switzerland. A. Mac Raighne's co-authors include V. OʼShea, D. Maneuski, D. McGrouther, Toralf Scharf, Eithne M. McCabe, Lisong Yang, S. McVitie, L. A. Dunbar, Brian Bowe and Stephanie Farrell and has published in prestigious journals such as Review of Scientific Instruments, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Journal of Instrumentation.

In The Last Decade

A. Mac Raighne

13 papers receiving 84 citations

Author Peers

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

Author						Papers	Cites
A. Mac Raighne	34	19	19	18	17	15	88
A. Goldschmidt	19 0.6×	23 1.2×	28 1.5×	9 0.5×	24 1.4×	16	93
Gisela Pöplau	41 1.2×	22 1.2×	17 0.9×	15 0.8×	7 0.4×	13	66
J. Y. Zhao	28 0.8×	9 0.5×	17 0.9×	29 1.6×	22 1.3×	22	95
Daniele La Civita	53 1.6×	23 1.2×	40 2.1×	17 0.9×	4 0.2×	16	73
R. Boyce	65 1.9×	29 1.5×	33 1.7×	23 1.3×	8 0.5×	14	95
J. Matheson	41 1.2×	12 0.6×	33 1.7×	13 0.7×	16 0.9×	12	76
Juliette Martin	48 1.4×	27 1.4×	6 0.3×	13 0.7×	8 0.5×	9	88
Jang-Hui Han	45 1.3×	17 0.9×	35 1.8×	10 0.6×	3 0.2×	12	59
R. Chehab	57 1.7×	30 1.6×	29 1.5×	21 1.2×	5 0.3×	15	100
Jang Hui Han	52 1.5×	14 0.7×	17 0.9×	21 1.2×	4 0.2×	21	76

Countries citing papers authored by A. Mac Raighne

Since Specialization

Citations

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

Fields of papers citing papers by A. Mac Raighne

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by A. Mac Raighne. 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 A. Mac Raighne. The network helps show where A. Mac Raighne may publish in the future.

Co-authorship network of co-authors of A. Mac Raighne

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