E. De Lauro

87 total papers · 657 total citations
50 papers, 556 citations indexed

About

E. De Lauro is a scholar working on Geophysics, Signal Processing and Artificial Intelligence. According to data from OpenAlex, E. De Lauro has authored 50 papers receiving a total of 556 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Geophysics, 20 papers in Signal Processing and 13 papers in Artificial Intelligence. Recurrent topics in E. De Lauro's work include Seismic Waves and Analysis (24 papers), Blind Source Separation Techniques (19 papers) and Earthquake Detection and Analysis (19 papers). E. De Lauro is often cited by papers focused on Seismic Waves and Analysis (24 papers), Blind Source Separation Techniques (19 papers) and Earthquake Detection and Analysis (19 papers). E. De Lauro collaborates with scholars based in Italy, Romania and Spain. E. De Lauro's co-authors include M. Falanga, S. De Martino, Simona Petrosino, Mauro Palo, Paolo Capuano, Angelo Ciaramella, Roberto Tagliaferri, Ciro Ricco, Paola Cusano and R. Scarpa and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

E. De Lauro

48 papers receiving 549 citations

Author Peers

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

Author						Papers	Cites
E. De Lauro	375	154	126	58	45	50	556
B. W. Currie	54 0.1×	101 0.7×	75 0.6×	42 0.7×	123 2.7×	30	601
Seymour Shlien	143 0.4×	139 0.9×	133 1.1×	7 0.1×	12 0.3×	30	613
Alejandro Ramírez-Rojas	382 1.0×	220 1.4×	46 0.4×	119 2.1×	5 0.1×	46	632
Elsa Leticia Flores-Márquez	366 1.0×	176 1.1×	17 0.1×	49 0.8×	12 0.3×	47	505
Haitao Ma	328 0.9×	104 0.7×	22 0.2×	20 0.3×	33 0.7×	47	582
J. P. Todoeschuck	419 1.1×	128 0.8×	18 0.1×	13 0.2×	53 1.2×	20	553
Jin Li	216 0.6×	49 0.3×	81 0.6×	7 0.1×	51 1.1×	63	537
Margarete Oliveira Domingues	186 0.5×	33 0.2×	7 0.1×	40 0.7×	31 0.7×	67	661
J. Takalo	191 0.5×	39 0.3×	10 0.1×	61 1.1×	17 0.4×	38	616
Sherif M. El-Hady	406 1.1×	129 0.8×	11 0.1×	13 0.2×	7 0.2×	38	550

Countries citing papers authored by E. De Lauro

Since Specialization

Citations

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

Fields of papers citing papers by E. De Lauro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by E. De Lauro. 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 E. De Lauro. The network helps show where E. De Lauro may publish in the future.

Co-authorship network of co-authors of E. De Lauro

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