Daniel Acevedo

16 papers and 158 indexed citations i.

About

Daniel Acevedo is a scholar working on Computer Vision and Pattern Recognition, Cognitive Neuroscience and Media Technology. According to data from OpenAlex, Daniel Acevedo has authored 16 papers receiving a total of 158 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 2 papers in Cognitive Neuroscience and 2 papers in Media Technology. Recurrent topics in Daniel Acevedo’s work include Image and Signal Denoising Methods (6 papers), Advanced Data Compression Techniques (5 papers) and Data Visualization and Analytics (4 papers). Daniel Acevedo is often cited by papers focused on Image and Signal Denoising Methods (6 papers), Advanced Data Compression Techniques (5 papers) and Data Visualization and Analytics (4 papers). Daniel Acevedo collaborates with scholars based in Argentina, United States and Austria. Daniel Acevedo's co-authors include David H. Laidlaw, Esther de Ves, Martha Sharp Joukowsky, Daniel F. Keefe, Sharon M. Swartz, Sarath Chandra Janga, Cullen D. Jackson, Min‐Hyung Choi, Sen Wang and George Bebis and has published in prestigious journals such as Pattern Recognition, Experimental Biology and Medicine and Methods.

In The Last Decade

Co-authorship network of co-authors of Daniel Acevedo i

Fields of papers citing papers by Daniel Acevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Acevedo

Since Specialization
Citations

This map shows the geographic impact of Daniel Acevedo'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 Acevedo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Acevedo 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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2025