Fernando Javier D’Eramo

38 total papers · 521 total citations
29 papers, 437 citations indexed

About

Fernando Javier D’Eramo is a scholar working on Geophysics, Artificial Intelligence and Molecular Biology. According to data from OpenAlex, Fernando Javier D’Eramo has authored 29 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Geophysics, 15 papers in Artificial Intelligence and 4 papers in Molecular Biology. Recurrent topics in Fernando Javier D’Eramo's work include Geological and Geochemical Analysis (27 papers), earthquake and tectonic studies (15 papers) and Geochemistry and Geologic Mapping (15 papers). Fernando Javier D’Eramo is often cited by papers focused on Geological and Geochemical Analysis (27 papers), earthquake and tectonic studies (15 papers) and Geochemistry and Geologic Mapping (15 papers). Fernando Javier D’Eramo collaborates with scholars based in Argentina, Spain and Germany. Fernando Javier D’Eramo's co-authors include Lucio Pinotti, Jorge E. Coniglio, Manuel Demartis, Eugenio Aragón, José María Tubía, António Castro, Osvaldo Rabbia, Eduardo Jorge Llambías, A. Aranguren and Ana María Sato and has published in prestigious journals such as SHILAP Revista de lepidopterología, Tectonophysics and Lithos.

In The Last Decade

Fernando Javier D’Eramo

25 papers receiving 423 citations

Author Peers

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

Author						Papers	Cites
Fernando Javier D’Eramo	420	185	52	29	24	29	437
R. T. Lubala	365 0.9×	171 0.9×	48 0.9×	35 1.2×	13 0.5×	19	404
Pierre Vellutini	380 0.9×	149 0.8×	87 1.7×	45 1.6×	24 1.0×	24	434
Marceliano Lago	445 1.1×	123 0.7×	66 1.3×	38 1.3×	10 0.4×	18	481
J. P. N. Badham	321 0.8×	132 0.7×	45 0.9×	26 0.9×	23 1.0×	23	375
Richard L. Sedlock	412 1.0×	160 0.9×	73 1.4×	18 0.6×	44 1.8×	17	458
F. Munizaga	405 1.0×	176 1.0×	58 1.1×	14 0.5×	20 0.8×	19	452
Mihir K. Bose	374 0.9×	123 0.7×	31 0.6×	23 0.8×	14 0.6×	36	419
Mario Vergara	432 1.0×	204 1.1×	78 1.5×	15 0.5×	9 0.4×	29	490
S. J. Seaman	336 0.8×	102 0.6×	100 1.9×	31 1.1×	48 2.0×	29	409
Jesse Hutchinson	369 0.9×	165 0.9×	44 0.8×	9 0.3×	10 0.4×	20	406

Countries citing papers authored by Fernando Javier D’Eramo

Since Specialization

Citations

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

Fields of papers citing papers by Fernando Javier D’Eramo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Javier D’Eramo. 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 Fernando Javier D’Eramo. The network helps show where Fernando Javier D’Eramo may publish in the future.

Co-authorship network of co-authors of Fernando Javier D’Eramo

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Javier D’Eramo. A scholar is included among the top collaborators of Fernando Javier D’Eramo 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 Fernando Javier D’Eramo. Fernando Javier D’Eramo 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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