V.J. Matsas

13 total papers · 1.2k total citations
11 papers, 959 citations indexed

About

V.J. Matsas is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Statistical and Nonlinear Physics. According to data from OpenAlex, V.J. Matsas has authored 11 papers receiving a total of 959 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Atomic and Molecular Physics, and Optics, 10 papers in Electrical and Electronic Engineering and 1 paper in Statistical and Nonlinear Physics. Recurrent topics in V.J. Matsas's work include Advanced Fiber Laser Technologies (11 papers), Photonic Crystal and Fiber Optics (6 papers) and Laser-Matter Interactions and Applications (5 papers). V.J. Matsas is often cited by papers focused on Advanced Fiber Laser Technologies (11 papers), Photonic Crystal and Fiber Optics (6 papers) and Laser-Matter Interactions and Applications (5 papers). V.J. Matsas collaborates with scholars based in United Kingdom. V.J. Matsas's co-authors include David J. Richardson, D.N. Payne, T.P. Newson, R.I. Laming, M. W. Phillips, Michalis N. Zervas and W.H. Loh and has published in prestigious journals such as Optics Letters, Electronics Letters and Optics Communications.

In The Last Decade

V.J. Matsas

11 papers receiving 915 citations

Hit Papers

Selfstarting passively mo... 1992 2026 2003 2014 1992 100 200 300

Author Peers

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

Author Last Decade Papers Cites
V.J. Matsas 941 847 76 36 21 11 959
Caspar Ockeloen-Korppi 962 1.0× 435 0.5× 72 0.9× 19 0.5× 18 0.9× 18 1.0k
F. Haberl 845 0.9× 802 0.9× 63 0.8× 22 0.6× 9 0.4× 17 900
Yeghishe Tsaturyan 822 0.9× 509 0.6× 52 0.7× 49 1.4× 18 0.9× 15 861
Chan U Lei 863 0.9× 476 0.6× 87 1.1× 25 0.7× 21 1.0× 13 912
José A. Jaramillo-Villegas 786 0.8× 693 0.8× 94 1.2× 21 0.6× 14 0.7× 31 868
Qing-Xin Ji 749 0.8× 776 0.9× 59 0.8× 39 1.1× 15 0.7× 25 868
Matthew J. Woolley 803 0.9× 378 0.4× 79 1.0× 11 0.3× 21 1.0× 17 825
A. Metelmann 993 1.1× 508 0.6× 147 1.9× 27 0.8× 29 1.4× 26 1.1k
Julien Gabelli 874 0.9× 462 0.5× 89 1.2× 81 2.3× 15 0.7× 29 1.0k
Victor Fiore 786 0.8× 596 0.7× 22 0.3× 25 0.7× 21 1.0× 10 808

Countries citing papers authored by V.J. Matsas

Since Specialization
Citations

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

Fields of papers citing papers by V.J. Matsas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V.J. Matsas. 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 V.J. Matsas. The network helps show where V.J. Matsas may publish in the future.

Co-authorship network of co-authors of V.J. Matsas

This figure shows the co-authorship network connecting the top 25 collaborators of V.J. Matsas. A scholar is included among the top collaborators of V.J. Matsas 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 V.J. Matsas. V.J. Matsas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

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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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