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.
Directed diffusion for wireless sensor networking
20031.6k citationsJohn Heidemann, Fábio Silva et al.profile →
Ultra-low duty cycle MAC with scheduled channel polling
2006404 citationsFábio Silva, John Heidemann et al.profile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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This map shows the geographic impact of Fábio Silva'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 Fábio Silva with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fábio Silva more than expected).
This network shows the impact of papers produced by Fábio Silva. 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 Fábio Silva. The network helps show where Fábio Silva may publish in the future.
Co-authorship network of co-authors of Fábio Silva
This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Silva.
A scholar is included among the top collaborators of Fábio Silva 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 Fábio Silva. Fábio Silva is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Silva, Fábio, et al.. (2016). The dimensions of sustainability: concepts and strategies in the textile and clothing supply chain in Brazil.. 7(2). 218.4 indexed citations
11.
Silva, Fábio, et al.. (2016). End-to-end research data management workflows: a case study with Dendro and EUDAT.. 369–375.
Silva, Fábio, et al.. (2013). Knowledge Representation for Cardiovascular Problems Applied to Mobile Monitoring of Elderly People. 314–319.1 indexed citations
14.
Ciarlini, Angelo E. M., et al.. (2013). A nondeterministic temporal planning model for gener narratives with continuous change in interactive storyte. National Conference on Artificial Intelligence. 107–113.2 indexed citations
15.
Silva, Fábio & César Analide. (2011). Multi-agent system for credit scoring. RepositóriUM (Universidade do Minho). 595–608.1 indexed citations
Villavicencio, Aline, et al.. (2010). COMUNICA - A Question Answering System for Brazilian Portuguese. International Conference on Computational Linguistics. 21–24.2 indexed citations
18.
Silva, Fábio, Rosario Girardi, & Lucas Drumond. (2009). A Knowledge-based Retrieval Model.. Software Engineering and Knowledge Engineering. 558–563.2 indexed citations
19.
Drumond, Lucas, Rosario Girardi, & Fábio Silva. (2008). A Similarity Analysis Model for Semantic Web Information Filtering Applications.. Software Engineering and Knowledge Engineering. 638–642.2 indexed citations
20.
Heidemann, John, et al.. (2008). SURE-SE: Sensors for Unplanned Roadway Events--Simulation and Evaluation.1 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.