Humberto Razente

About

Humberto Razente is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Humberto Razente has authored 13 papers receiving a total of 128 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Signal Processing, 7 papers in Artificial Intelligence and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Humberto Razente’s work include Data Management and Algorithms (9 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Algorithms and Data Compression (3 papers). Humberto Razente is often cited by papers focused on Data Management and Algorithms (9 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Algorithms and Data Compression (3 papers). Humberto Razente collaborates with scholars based in Brazil, United States and Moldova. Humberto Razente's co-authors include Caetano Traina, Maria Camila N. Barioni, Marios Hadjieleftheriou, Divesh Srivastava, Vassilis J. Tsotras, Marcos R. Vieira, Agma J. M. Traina, Paulo Mazzoncini de Azevedo‐Marques, Christos Faloutsos and Yasin N. Silva and has published in prestigious journals such as Gene, Computer Methods and Programs in Biomedicine and Proceedings of the VLDB Endowment.

In The Last Decade

Co-authorship network of co-authors of Humberto Razente i

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Fields of papers citing papers by Humberto Razente

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Humberto Razente

Since Specialization

Citations

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