M. Pascolini

47 total papers · 1.0k total citations
27 papers, 810 citations indexed

About

M. Pascolini is a scholar working on Atomic and Molecular Physics, and Optics, Electrical and Electronic Engineering and Materials Chemistry. According to data from OpenAlex, M. Pascolini has authored 27 papers receiving a total of 810 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Atomic and Molecular Physics, and Optics, 5 papers in Electrical and Electronic Engineering and 5 papers in Materials Chemistry. Recurrent topics in M. Pascolini's work include Laser-Matter Interactions and Applications (16 papers), Advanced Fiber Laser Technologies (9 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). M. Pascolini is often cited by papers focused on Laser-Matter Interactions and Applications (16 papers), Advanced Fiber Laser Technologies (9 papers) and Spectroscopy and Quantum Chemical Studies (5 papers). M. Pascolini collaborates with scholars based in Italy, United Kingdom and United States. M. Pascolini's co-authors include Luca Poletto, S. Stagira, M. Nisoli, Paolo Villoresi, G. Sansone, S. De Silvestri, C. Vozzi, Lidia Armelao, Gregorio Bottaro and Eugenio Tondello and has published in prestigious journals such as Physical Review Letters, Applied Physics Letters and Physical Review B.

In The Last Decade

M. Pascolini

27 papers receiving 778 citations

Author Peers

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

Author						Papers	Cites
M. Pascolini	492	244	196	142	131	27	810
Károly Németh	274 0.6×	311 1.3×	117 0.6×	190 1.3×	61 0.5×	51	802
Po-Kang Wang	583 1.2×	234 1.0×	141 0.7×	313 2.2×	212 1.6×	25	911
A. V. KIRSANOV	471 1.0×	85 0.3×	227 1.2×	355 2.5×	85 0.6×	43	924
D. Zamir	302 0.6×	447 1.8×	153 0.8×	100 0.7×	207 1.6×	37	723
H. E. Weaver	170 0.3×	440 1.8×	119 0.6×	143 1.0×	207 1.6×	29	829
G. Kaindl	437 0.9×	214 0.9×	78 0.4×	90 0.6×	52 0.4×	40	958
G. H. Stauss	534 1.1×	345 1.4×	61 0.3×	394 2.8×	96 0.7×	33	960
D. D. Hofer	176 0.4×	227 0.9×	234 1.2×	146 1.0×	35 0.3×	40	735
R. D. Kendrick	315 0.6×	293 1.2×	152 0.8×	115 0.8×	382 2.9×	24	774
Christopher A. Ebbers	540 1.1×	194 0.8×	234 1.2×	369 2.6×	16 0.1×	28	859

Countries citing papers authored by M. Pascolini

Since Specialization

Citations

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

Fields of papers citing papers by M. Pascolini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Pascolini

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