Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Dynamical Interplay between Awareness and Epidemic Spreading in Multiplex Networks
2013748 citationsClara Granell, Sergio Gómez et al.Physical Review Lettersprofile →
Diffusion Dynamics on Multiplex Networks
2013683 citationsSergio Gómez, Albert Dı́az-Guilera et al.Physical Review Lettersprofile →
Explosive Synchronization Transitions in Scale-Free Networks
2011435 citationsJesús Gómez‐Gardeñes, Sergio Gómez et al.Physical Review Lettersprofile →
Navigability of interconnected networks under random failures
2014339 citationsManlio De Domenico, Albert Solé‐Ribalta et al.Proceedings of the National Academy of Sciencesprofile →
Competing spreading processes on multiplex networks: Awareness and epidemics
2014297 citationsClara Granell, Sergio Gómez et al.Physical Review Eprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
hero ref
This map shows the geographic impact of Sergio Gómez'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 Sergio Gómez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Gómez more than expected).
This network shows the impact of papers produced by Sergio Gómez. 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 Sergio Gómez. The network helps show where Sergio Gómez may publish in the future.
Co-authorship network of co-authors of Sergio Gómez
This figure shows the co-authorship network connecting the top 25 collaborators of Sergio Gómez.
A scholar is included among the top collaborators of Sergio Gómez 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 Sergio Gómez. Sergio Gómez is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Valdano, Eugenio, Susanna C. Manrubia, Sergio Gómez, & Àlex Arenas. (2018). A mathematical model for the spread of multipartite viruses reveals their evolutionary potential. arXiv (Cornell University).1 indexed citations
10.
Arenas, Àlex, et al.. (2017). Efficient epidemic containment using link equations in complex networks. arXiv (Cornell University).1 indexed citations
Domenico, Manlio De, Albert Solé‐Ribalta, Sergio Gómez, & Àlex Arenas. (2014). Navigability of interconnected networks under random failures. Proceedings of the National Academy of Sciences. 111(23). 8351–8356.339 indexed citations breakdown →
Cozzo, Emanuele, Mikko Kivelä, Manlio De Domenico, et al.. (2013). Clustering Coefficients in Multiplex Networks.. arXiv (Cornell University).14 indexed citations
15.
Gómez, Sergio, Albert Dı́az-Guilera, Jesús Gómez‐Gardeñes, et al.. (2013). Diffusion Dynamics on Multiplex Networks. Physical Review Letters. 110(2). 28701–28701.683 indexed citations breakdown →
16.
Granell, Clara, Sergio Gómez, & Àlex Arenas. (2013). Dynamical Interplay between Awareness and Epidemic Spreading in Multiplex Networks. Physical Review Letters. 111(12). 128701–128701.748 indexed citations breakdown →
Gómez, Sergio. (2008). Afectan las restricciones financierasal régimen de tenencia de vivienda. Investigación Económica. 32(3). 289–324.2 indexed citations
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.