A. Pugžlys

421 total papers · 6.9k total citations
186 papers, 5.1k citations indexed

About

A. Pugžlys is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Spectroscopy. According to data from OpenAlex, A. Pugžlys has authored 186 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Atomic and Molecular Physics, and Optics, 87 papers in Electrical and Electronic Engineering and 34 papers in Spectroscopy. Recurrent topics in A. Pugžlys's work include Laser-Matter Interactions and Applications (123 papers), Advanced Fiber Laser Technologies (107 papers) and Solid State Laser Technologies (36 papers). A. Pugžlys is often cited by papers focused on Laser-Matter Interactions and Applications (123 papers), Advanced Fiber Laser Technologies (107 papers) and Solid State Laser Technologies (36 papers). A. Pugžlys collaborates with scholars based in Austria, United States and Lithuania. A. Pugžlys's co-authors include Andrius Baltuška, S. Ališauskas, G. Andriukaitis, Tadas Balčiūnas, А. М. Желтиков, P.R. Hania, Tenio Popmintchev, Ming-Chang Chen, Margaret M. Murnane and Henry C. Kapteyn and has published in prestigious journals such as Science, Physical Review Letters and Angewandte Chemie International Edition.

In The Last Decade

A. Pugžlys

171 papers receiving 4.7k citations

Hit Papers

Bright Coherent Ultrahigh... 2012 2026 2016 2021 2012 400 800 1.2k

Author Peers

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

Author Last Decade Papers Cites
A. Pugžlys 4.1k 2.0k 960 824 627 186 5.1k
R. W. Schoenlein 3.9k 1.0× 2.0k 1.0× 676 0.7× 654 0.8× 1.9k 3.0× 121 7.9k
Cristian Manzoni 4.4k 1.1× 2.2k 1.1× 332 0.3× 619 0.8× 1.9k 3.0× 174 6.7k
Tamar Seideman 8.8k 2.2× 2.3k 1.2× 357 0.4× 2.8k 3.4× 1.2k 1.9× 246 11.3k
A. Migus 4.0k 1.0× 1.4k 0.7× 510 0.5× 646 0.8× 510 0.8× 127 5.1k
J S Briggs 6.3k 1.5× 417 0.2× 807 0.8× 1.5k 1.9× 548 0.9× 197 7.2k
H. Lemke 1.7k 0.4× 1.4k 0.7× 405 0.4× 189 0.2× 1.3k 2.0× 120 5.2k
M. Woerner 3.8k 0.9× 2.5k 1.2× 374 0.4× 1.4k 1.7× 855 1.4× 188 5.6k
M. Nisoli 10.7k 2.6× 2.8k 1.4× 2.7k 2.8× 3.1k 3.8× 693 1.1× 247 12.2k
Takayoshi Kobayashi 2.5k 0.6× 953 0.5× 184 0.2× 536 0.7× 866 1.4× 140 3.7k
A. F. G. van der Meer 3.1k 0.8× 2.1k 1.1× 370 0.4× 1.1k 1.4× 1.1k 1.8× 171 4.8k

Countries citing papers authored by A. Pugžlys

Since Specialization
Citations

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

Fields of papers citing papers by A. Pugžlys

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Pugžlys

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