Daniel Hernández-Lobato

43 papers and 923 indexed citations
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About

Daniel Hernández-Lobato is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Daniel Hernández-Lobato has authored 43 papers receiving a total of 923 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Artificial Intelligence, 8 papers in Computational Theory and Mathematics and 8 papers in Computer Vision and Pattern Recognition. Recurrent topics in Daniel Hernández-Lobato’s work include Gaussian Processes and Bayesian Inference (22 papers), Machine Learning and Data Classification (11 papers) and Neural Networks and Applications (9 papers). Daniel Hernández-Lobato is often cited by papers focused on Gaussian Processes and Bayesian Inference (22 papers), Machine Learning and Data Classification (11 papers) and Neural Networks and Applications (9 papers). Daniel Hernández-Lobato collaborates with scholars based in Spain, United Kingdom and Belgium. Daniel Hernández-Lobato's co-authors include Alberto Suárez, Gonzalo Martínez-Muñoz, Eduardo C. Garrido‐Merchán, José Miguel Hernández-Lobato, Pierre Dupont, Amar Shah, Ryan P. Adams, Sancho Salcedo‐Sanz, L. Cornejo-Bueno and Thang D. Bui and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Daniel Hernández-Lobato

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Hernández-Lobato. A scholar is included among the top collaborators of Daniel Hernández-Lobato 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 Daniel Hernández-Lobato. Daniel Hernández-Lobato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Daniel Hernández-Lobato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Hernández-Lobato. 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 Daniel Hernández-Lobato. The network helps show where Daniel Hernández-Lobato may publish in the future.

Countries citing papers authored by Daniel Hernández-Lobato

Since Specialization
Citations

This map shows the geographic impact of Daniel Hernández-Lobato'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 Daniel Hernández-Lobato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Hernández-Lobato more than expected).

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.

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