Humberto Razente
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Information Systems top 10%
- Co-authors
- Caetano TrainaMaria Camila N. BarioniAgma J. M. TrainaVassilis J. TsotrasMarios HadjieleftheriouMarcos R. VieiraDivesh SrivastavaChristos Faloutsos
- Topics
- Data Management and Algorithms (22 papers)Advanced Image and Video Retrieval Techniques (8 papers)Data Visualization and Analytics (6 papers)
- Cited by
- Signal ProcessingComputer Vision and Pattern RecognitionComputer Networks and Communications
- Partner nations
- BrazilUnited StatesMoldova
In The Last Decade
Humberto Razente
26 papers receiving 241 citations
Peers
Comparison fields: 5 of 45
- Signal Processing 140
- Computer Vision and Pattern Recognition 106
- Artificial Intelligence 101
- Computer Networks and Communications 74
- Information Systems 60
Countries citing papers authored by Humberto Razente
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).
Fields of papers citing papers by Humberto Razente
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.
Co-authorship network of co-authors of Humberto Razente
This figure shows the co-authorship network connecting the top 25 collaborators of Humberto Razente. A scholar is included among the top collaborators of Humberto Razente 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 Humberto Razente. Humberto Razente is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 1 | |
| 7 | 10 | |
| 8 | 111 | |
| 9 | 6 | |
| 10 | 9 | |
| 11 | 3 | |
| 12 | 1 | |
| 13 | An Efficient Approach to Scale up k-medoid based Algorithms in Large Databases. | 12 |
| 14 | 10 | |
| 15 | FastMapDB: uma ferramenta para visualização em SGBDRs com suporte à filtragem e seleção visual dos dados | 0 |
| 16 | 20 | |
| 17 | Querying complex objects by similarity in SQL. | 4 |
| 18 | Visual Analysis of Feature Selection for Data Mining Processes. | 2 |
| 19 | Visually Mining on Multiple Relational Tables at Once. | 2 |
| 20 | 11 |
About Humberto Razente
Humberto Razente is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Software, having authored 28 papers that have together received 254 indexed citations. Recurring topics across this work include Data Management and Algorithms (22 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Data Visualization and Analytics (6 papers). The work is most often cited by research in Signal Processing (140 citations), Computer Vision and Pattern Recognition (106 citations) and Computer Networks and Communications (74 citations). Humberto Razente has collaborated with scholars based in Brazil, United States and Moldova. Frequent co-authors include Caetano Traina, Maria Camila N. Barioni, Agma J. M. Traina, Vassilis J. Tsotras, Marios Hadjieleftheriou, Marcos R. Vieira, Divesh Srivastava, Christos Faloutsos, Paulo Mazzoncini de Azevedo‐Marques and Elaine R. Faria. Their work appears in journals such as Gene, Computer Methods and Programs in Biomedicine and Proceedings of the VLDB Endowment.
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.