Fabrízzio Soares
- Control and Systems Engineering top 5%
- Industrial and Manufacturing Engineering top 2%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Mechanical Engineering
- Co-authors
- Symone Gomes Soares AlcaláRoberto da Piedade FranciscoJoão BastoRonaldo Martins da CostaWilliam D. FerreiraChristian Dias CabacinhaGilberto Arantes CarrijoHugo Alexandre Dantas do Nascimento
- Topics
- Tactile and Sensory Interactions (12 papers)Remote Sensing and LiDAR Applications (11 papers)COVID-19 diagnosis using AI (11 papers)
- Cited by
- Medical Laboratory TechnologyIndustrial and Manufacturing EngineeringHuman-Computer Interaction
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- BrazilUnited StatesSlovakia
In The Last Decade
Fabrízzio Soares
71 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 124
- Control and Systems Engineering 325
- Industrial and Manufacturing Engineering 262
- Computer Vision and Pattern Recognition 185
- Artificial Intelligence 167
- Mechanical Engineering 141
Countries citing papers authored by Fabrízzio Soares
This map shows the geographic impact of Fabrízzio Soares'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 Fabrízzio Soares with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabrízzio Soares more than expected).
Fields of papers citing papers by Fabrízzio Soares
This network shows the impact of papers produced by Fabrízzio Soares. 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 Fabrízzio Soares. The network helps show where Fabrízzio Soares may publish in the future.
Co-authorship network of co-authors of Fabrízzio Soares
This figure shows the co-authorship network connecting the top 25 collaborators of Fabrízzio Soares. A scholar is included among the top collaborators of Fabrízzio Soares 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 Fabrízzio Soares. Fabrízzio Soares 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 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 14 | |
| 10 | 2 | |
| 11 | 2 | |
| 12 | 6 | |
| 13 | 0 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 1 | |
| 17 | 9 | |
| 18 | 1 | |
| 19 | 5 | |
| 20 | 8 |
About Fabrízzio Soares
Fabrízzio Soares is a scholar working on Human-Computer Interaction, Health Informatics and Computer Vision and Pattern Recognition, having authored 85 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tactile and Sensory Interactions (12 papers), Remote Sensing and LiDAR Applications (11 papers) and COVID-19 diagnosis using AI (11 papers). The work is most often cited by research in Medical Laboratory Technology (96 citations), Industrial and Manufacturing Engineering (262 citations) and Human-Computer Interaction (98 citations). Fabrízzio Soares has collaborated with scholars based in Brazil, United States and Slovakia. Frequent co-authors include Symone Gomes Soares Alcalá, Roberto da Piedade Francisco, João Basto, Ronaldo Martins da Costa, William D. Ferreira, Christian Dias Cabacinha, Gilberto Arantes Carrijo, Hugo Alexandre Dantas do Nascimento, Oge Marques and Rafael T. Sousa. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.