Alfredo Nazábal

17 total papers · 470 total citations
6 papers, 193 citations indexed

About

Alfredo Nazábal is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Alfredo Nazábal has authored 6 papers receiving a total of 193 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 4 papers in Artificial Intelligence and 2 papers in Signal Processing. Recurrent topics in Alfredo Nazábal's work include Generative Adversarial Networks and Image Synthesis (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Indoor and Outdoor Localization Technologies (1 paper). Alfredo Nazábal is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Indoor and Outdoor Localization Technologies (1 paper). Alfredo Nazábal collaborates with scholars based in United Kingdom, Spain and Czechia. Alfredo Nazábal's co-authors include Zoubin Ghahramani, Pablo M. Olmos, Isabel Valera, Antonio Artés-Rodrı́guez, Christopher K. I. Williams, Tomáš Petříček, Ernesto Jiménez-Ruiz and Charles Sutton and has published in prestigious journals such as Neural Computation, IEEE Transactions on Knowledge and Data Engineering and IEEE Journal of Biomedical and Health Informatics.

In The Last Decade

Alfredo Nazábal

6 papers receiving 188 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Alfredo Nazábal	114	58	29	17	15	6	193
Mathias Berglund	136 1.2×	80 1.4×	32 1.1×	8 0.5×	3 0.2×	5	244
Md. Tasnim Jawad	134 1.2×	52 0.9×	15 0.5×	14 0.8×	10 0.7×	7	231
Thang D. Bui	174 1.5×	56 1.0×	16 0.6×	5 0.3×	8 0.5×	9	225
Elnaz Barshan	87 0.8×	92 1.6×	23 0.8×	11 0.6×	12 0.8×	7	234
Nathalie Villa	77 0.7×	49 0.8×	20 0.7×	14 0.8×	50 3.3×	8	214
Hans Georg Zimmermann	116 1.0×	30 0.5×	19 0.7×	7 0.4×	9 0.6×	6	188
R.D. Turner	143 1.3×	14 0.2×	40 1.4×	7 0.4×	15 1.0×	9	230
Li-Lun Wang	143 1.3×	152 2.6×	17 0.6×	11 0.6×	4 0.3×	7	285
Thibaut Thonet	90 0.8×	66 1.1×	14 0.5×	9 0.5×	2 0.1×	7	174
Patrick Letrémy	115 1.0×	55 0.9×	21 0.7×	11 0.6×	2 0.1×	9	202

Countries citing papers authored by Alfredo Nazábal

Since Specialization

Citations

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

Fields of papers citing papers by Alfredo Nazábal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alfredo Nazábal. 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 Alfredo Nazábal. The network helps show where Alfredo Nazábal may publish in the future.

Co-authorship network of co-authors of Alfredo Nazábal

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

All Works

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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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