Mark G. Scullion

24 total papers · 714 total citations
17 papers, 549 citations indexed

About

Mark G. Scullion is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics and Biomedical Engineering. According to data from OpenAlex, Mark G. Scullion has authored 17 papers receiving a total of 549 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Electrical and Electronic Engineering, 13 papers in Atomic and Molecular Physics, and Optics and 8 papers in Biomedical Engineering. Recurrent topics in Mark G. Scullion's work include Photonic and Optical Devices (14 papers), Photonic Crystals and Applications (10 papers) and Orbital Angular Momentum in Optics (3 papers). Mark G. Scullion is often cited by papers focused on Photonic and Optical Devices (14 papers), Photonic Crystals and Applications (10 papers) and Orbital Angular Momentum in Optics (3 papers). Mark G. Scullion collaborates with scholars based in United Kingdom, Italy and United States. Mark G. Scullion's co-authors include Thomas F. Krauss, Andrea Di Falco, J. Colas, Steven Johnson, Katherine E. Dunn, Alison Parkin, Christopher Reardon, Kishan Dholakia, Yoshihiko Arita and Francesco Dell’Olio and has published in prestigious journals such as Nature Communications, Optics Letters and Optics Express.

In The Last Decade

Mark G. Scullion

17 papers receiving 531 citations

Author Peers

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

Author Last Decade Papers Cites
Mark G. Scullion 433 373 260 101 55 17 549
Uwe Bog 374 0.9× 309 0.8× 240 0.9× 91 0.9× 71 1.3× 19 547
M. A. Mohaseb 318 0.7× 354 0.9× 317 1.2× 40 0.4× 53 1.0× 21 521
Z. S. Matar 371 0.9× 389 1.0× 340 1.3× 46 0.5× 74 1.3× 27 553
Chao-Wei Wu 371 0.9× 225 0.6× 155 0.6× 74 0.7× 18 0.3× 32 490
Walied Sabra 329 0.8× 429 1.2× 314 1.2× 75 0.7× 64 1.2× 30 567
M. J. Jory 403 0.9× 169 0.5× 259 1.0× 67 0.7× 60 1.1× 18 532
Mazen M. Abadla 370 0.9× 490 1.3× 321 1.2× 68 0.7× 34 0.6× 31 607
John P. Barber 418 1.0× 230 0.6× 184 0.7× 33 0.3× 19 0.3× 27 540
Vincent Paeder 397 0.9× 295 0.8× 171 0.7× 75 0.7× 24 0.4× 20 491
Michael T. Duignan 282 0.7× 180 0.5× 235 0.9× 30 0.3× 10 0.2× 26 553

Countries citing papers authored by Mark G. Scullion

Since Specialization
Citations

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

Fields of papers citing papers by Mark G. Scullion

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark G. Scullion. 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 Mark G. Scullion. The network helps show where Mark G. Scullion may publish in the future.

Co-authorship network of co-authors of Mark G. Scullion

This figure shows the co-authorship network connecting the top 25 collaborators of Mark G. Scullion. A scholar is included among the top collaborators of Mark G. Scullion 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 Mark G. Scullion. Mark G. Scullion 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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