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.
Countries citing papers authored by José I. Latorre
Since
Specialization
Citations
This map shows the geographic impact of José I. Latorre'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 José I. Latorre with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José I. Latorre more than expected).
This network shows the impact of papers produced by José I. Latorre. 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 José I. Latorre. The network helps show where José I. Latorre may publish in the future.
Co-authorship network of co-authors of José I. Latorre
This figure shows the co-authorship network connecting the top 25 collaborators of José I. Latorre.
A scholar is included among the top collaborators of José I. Latorre 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 José I. Latorre. José I. Latorre is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ball, Richard D., Stefano Carrazza, Juan Cruz–Martinez, et al.. (2022). The path to proton structure at 1% accuracy. The European Physical Journal C. 82(5).233 indexed citations breakdown →
Ball, Richard D., Valerio Bertone, F. Cerutti, et al.. (2011). On the Impact of NMC Data on Parton Distributions and Higgs Production at the Tevatron and the LHC. arXiv (Cornell University). 26(1). 3–10.1 indexed citations
10.
Quintanilla, Miguel, et al.. (2009). Conductas suicidas en población inmigrante: Un enfoque cultural.. 13(2).1 indexed citations
11.
Quintanilla, Miguel, et al.. (2008). Trastornos de la conducta alimentaria en varones.. 12(2).2 indexed citations
12.
Piccione, Andrea, Luigi Del Debbio, Stefano Forte, José I. Latorre, & Juan Rojo. (2005). Neural network approach to parton distributions fitting. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 559(1). 203–206.3 indexed citations
13.
Garrido, L. & José I. Latorre. (2001). Aplicaciones empresariales de data mining. RACO (Revistes Catalanes amb Accés Obert) (Consorci de Serveis Universitaris de Catalunya). 25(3). 499–508.1 indexed citations
14.
Acín, A., A. A. Andrianov, Laura Costa, et al.. (2000). Schmidt decomposition and classification of three-quantum-bit states. arXiv (Cornell University).4 indexed citations
15.
Latorre, José I. & H. Osborn. (1997). Positivity and the Energy Momentum Tensor in Quantum Field Theory. arXiv (Cornell University).1 indexed citations
16.
Freedman, Daniel Z., et al.. (1993). The hidden spatial geometry of non-Abelian gauge theories. Nuclear Physics A.2 indexed citations
Barreiro, F., D. Espriu, & José I. Latorre. (1987). Rigid superstrings. Physics Letters B. 189(4). 401–404.4 indexed citations
20.
Latorre, José I. & P. Pascual. (1985). QCD sum rules and the qqqq system. Journal of Physics G Nuclear Physics. 11(12). L231–L233.41 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.