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 Hernández‐Orallo
Since
Specialization
Citations
This map shows the geographic impact of José Hernández‐Orallo'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 Hernández‐Orallo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites José Hernández‐Orallo more than expected).
Fields of papers citing papers by José Hernández‐Orallo
This network shows the impact of papers produced by José Hernández‐Orallo. 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 Hernández‐Orallo. The network helps show where José Hernández‐Orallo may publish in the future.
Co-authorship network of co-authors of José Hernández‐Orallo
This figure shows the co-authorship network connecting the top 25 collaborators of José Hernández‐Orallo.
A scholar is included among the top collaborators of José Hernández‐Orallo 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 Hernández‐Orallo. José Hernández‐Orallo is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Burden, John & José Hernández‐Orallo. (2020). Exploring AI Safety in Degrees: Generality, Capability and Control. RiuNet (Politechnical University of Valencia). 36–40.7 indexed citations
6.
Hernández‐Orallo, José, Fernando Martínez‐Plumed, Shahar Avin, & Seán Ó hÉigeartaigh. (2019). Surveying Safety-relevant AI Characteristics. RiuNet (Politechnical University of Valencia). 1–9.10 indexed citations
7.
Hernández‐Orallo, José, Fernando Martínez‐Plumed, Ute Schmid, Michael Siebers, & David L. Dowe. (2017). Computer models solving intelligence test problems: progress and implications. Monash University Research Portal (Monash University). 5005–5009.
Ferri, Cèsar, Peter Flach, & José Hernández‐Orallo. (2003). Decision Trees for Ranking: Effect of New Smoothing Methods, New Splitting Criteria and Simple Pruning Methods.5 indexed citations
17.
Hernández‐Orallo, José. (2000). Computational measures of information gain and reinforcement in inference processes. AI Communications. 13(1). 49–50.11 indexed citations
18.
Hernández‐Orallo, José, et al.. (2000). On the computational measurement of intelligence factors.11 indexed citations
19.
Hernández‐Orallo, José, et al.. (1998). A Formal Definition of Intelligence Based on an Intensional Variant of Algorithmic Complexity.5 indexed citations
20.
Hernández‐Orallo, José & Marïa José Ramírez-Quintana. (1998). Inverse Narrowing for the Induction of Functional Logic Programs.. 379–392.4 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.