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 Ricardo Baeza‐Yates
Since
Specialization
Citations
This map shows the geographic impact of Ricardo Baeza‐Yates'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 Ricardo Baeza‐Yates with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ricardo Baeza‐Yates more than expected).
Fields of papers citing papers by Ricardo Baeza‐Yates
This network shows the impact of papers produced by Ricardo Baeza‐Yates. 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 Ricardo Baeza‐Yates. The network helps show where Ricardo Baeza‐Yates may publish in the future.
Co-authorship network of co-authors of Ricardo Baeza‐Yates
This figure shows the co-authorship network connecting the top 25 collaborators of Ricardo Baeza‐Yates.
A scholar is included among the top collaborators of Ricardo Baeza‐Yates 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 Ricardo Baeza‐Yates. Ricardo Baeza‐Yates is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Rello, Luz, et al.. (2012). Graphical Schemes May Improve Readability but Not Understandability for People with Dyslexia. North American Chapter of the Association for Computational Linguistics. 25–32.15 indexed citations
7.
Gonçalves, Marcos André, et al.. (2010). WCL2R: A Benchmark Collection for Learning to Rank Research with Clickthrough Data. Americanae (AECID Library). 1(3). 551–566.9 indexed citations
8.
Baeza‐Yates, Ricardo, Paolo Boldi, Berthier Ribeiro‐Neto, & B. Barla Cambazoğlu. (2009). Proceedings of the Second ACM International Conference on Web Search and Data Mining.2 indexed citations
9.
Baeza‐Yates, Ricardo & Prabhakar Raghavan. (2009). Next Generation Web Search.. International Archives of Allergy and Immunology. 140 Suppl 1. 11–23.16 indexed citations
10.
Baeza‐Yates, Ricardo & Carlos Castillo. (2007). Crawling the infinite web. Journal of Web Engineering. 6(1). 49–72.15 indexed citations
11.
Baeza‐Yates, Ricardo, et al.. (2007). A study of mobile search queries in Japan.43 indexed citations
12.
Baeza‐Yates, Ricardo, Carlos Castillo, & Vicente López. (2005). Pagerank Increase under Different Collusion Topologies.. 17–24.35 indexed citations
13.
Baeza‐Yates, Ricardo. (2000). Diseñemos todo de nuevo: reflexiones sobre la computación y su enseñanza. SHILAP Revista de lepidopterología.1 indexed citations
14.
Baeza‐Yates, Ricardo, et al.. (1998). Analysis of linear hashing revisited. Nordic journal of computing. 5(1). 70–85.6 indexed citations
15.
Baeza‐Yates, Ricardo. (1992). Text-Retrieval: Theory and Practice. 465–476.36 indexed citations
16.
Gonnet, Gastón H. & Ricardo Baeza‐Yates. (1991). Handbook of algorithms and data structures: in Pascal and C (2nd ed.). Addison-Wesley Longman Publishing Co., Inc. eBooks.37 indexed citations
17.
Baeza‐Yates, Ricardo. (1990). An adaptive overflow technique for B-trees (extended abstract). 16–28.2 indexed citations
Baeza‐Yates, Ricardo & Gastón H. Gonnet. (1989). Efficient Text Searching of Regular Expressions (Extended Abstract). International Colloquium on Automata, Languages and Programming. 46–62.3 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.