Emanuele Galligani

70 total papers · 860 total citations
52 papers, 651 citations indexed

About

Emanuele Galligani is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Computational Mechanics. According to data from OpenAlex, Emanuele Galligani has authored 52 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Computational Theory and Mathematics, 35 papers in Numerical Analysis and 14 papers in Computational Mechanics. Recurrent topics in Emanuele Galligani's work include Matrix Theory and Algorithms (31 papers), Advanced Optimization Algorithms Research (22 papers) and Iterative Methods for Nonlinear Equations (10 papers). Emanuele Galligani is often cited by papers focused on Matrix Theory and Algorithms (31 papers), Advanced Optimization Algorithms Research (22 papers) and Iterative Methods for Nonlinear Equations (10 papers). Emanuele Galligani collaborates with scholars based in Italy, United States and South Africa. Emanuele Galligani's co-authors include Francesco Mezzadri, Valeria Ruggiero, Federico Perini, Rolf D. Reitz, Luca Zanni, David J. Evans, Silvia Bonettini, Giuseppe Cantore, Raffaella Capelli and Lorenzo Sponza and has published in prestigious journals such as SHILAP Revista de lepidopterología, Combustion and Flame and Energy & Fuels.

In The Last Decade

Emanuele Galligani

50 papers receiving 610 citations

Author Peers

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

Author						Papers	Cites
Emanuele Galligani	359	341	233	155	69	52	651
Christian Großmann	126 0.4×	151 0.4×	179 0.8×	67 0.4×	15 0.2×	48	600
Hideaki Kaneko	196 0.5×	99 0.3×	156 0.7×	83 0.5×	290 4.2×	50	742
Helmut Podhaisky	395 1.1×	151 0.4×	335 1.4×	11 0.1×	45 0.7×	44	720
Wilhelm Heinrichs	229 0.6×	122 0.4×	369 1.6×	17 0.1×	42 0.6×	50	559
Dongming Wei	68 0.2×	93 0.3×	179 0.8×	41 0.3×	51 0.7×	75	631
Edward Dean	72 0.2×	175 0.5×	394 1.7×	113 0.7×	13 0.2×	25	666
M. Guedda	107 0.3×	180 0.5×	112 0.5×	26 0.2×	88 1.3×	55	595
M.‐D. Roselló	76 0.2×	44 0.1×	207 0.9×	128 0.8×	128 1.9×	65	665
Gregory S. Cooper	424 1.2×	182 0.5×	237 1.0×	9 0.1×	36 0.5×	33	570
Christos Xenophontos	341 0.9×	284 0.8×	374 1.6×	18 0.1×	18 0.3×	60	638

Countries citing papers authored by Emanuele Galligani

Since Specialization

Citations

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

Fields of papers citing papers by Emanuele Galligani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emanuele Galligani

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