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.
Sustainable operations: Their impact on the triple bottom line
Countries citing papers authored by Vicenta Sierra
Since
Specialization
Citations
This map shows the geographic impact of Vicenta Sierra'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 Vicenta Sierra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vicenta Sierra more than expected).
This network shows the impact of papers produced by Vicenta Sierra. 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 Vicenta Sierra. The network helps show where Vicenta Sierra may publish in the future.
Co-authorship network of co-authors of Vicenta Sierra
This figure shows the co-authorship network connecting the top 25 collaborators of Vicenta Sierra.
A scholar is included among the top collaborators of Vicenta Sierra 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 Vicenta Sierra. Vicenta Sierra is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Manolov, Rumen, Matthew Jamieson, Jonathan J. Evans, & Vicenta Sierra. (2016). A discussion of alternatives for establishing empirical benchmarks for interpreting single-case effect sizes. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 37(2). 209–234.6 indexed citations
6.
Sierra, Vicenta, et al.. (2015). Can social media predict voter intention in elections?_x000D_ The case of the 2012 Dominican Republic Presidential Election.. Americas Conference on Information Systems.2 indexed citations
Sierra, Vicenta, et al.. (2012). THE SAME ASSETS, BUT NEW IMPACTS: IT-ENABLED COORDINATION AND ENVIRONMENTAL PERFORMANCE. European Conference on Information Systems. 53.5 indexed citations
Solanas, Antonio, Rumen Manolov, & Vicenta Sierra. (2010). Lag-one autocorrelation in short series: Estimation and hypotheses testing. SHILAP Revista de lepidopterología.26 indexed citations
Sierra, Vicenta, et al.. (2000). Autocorrelation effect on type I error rate of revuskys rntest:a Monte Carlo study. Psicologica. 21(1). 91–114.4 indexed citations
19.
Solanas, Antonio & Vicenta Sierra. (1995). Análisis de incrementos y decrementos: incidencia de la violación de supuestos sobre la tasa empírica de error tipo i (1). Psicothema. 7(1). 159–171.1 indexed citations
20.
Sierra, Vicenta, et al.. (1992). Bootstrap: fundamentos e introducción a sus aplicaciones. 143–154.2 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.