Henrique Ferraz de Arruda
- Statistical and Nonlinear Physics top 5%
- Artificial Intelligence top 10%
- Sociology and Political Science
- Molecular Biology
- Computer Vision and Pattern Recognition
- Co-authors
- Luciano da Fontoura CostaDiego R. AmancioFilipi N. SilvaCésar H. CominGustavo R. FerreiraYamir MorenoGuilherme Ferraz de ArrudaAlberto Aleta
- Topics
- Complex Network Analysis Techniques (15 papers)Opinion Dynamics and Social Influence (11 papers)Advanced Text Analysis Techniques (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaACM Computing SurveysInformation Sciences
- Partner nations
- BrazilUnited StatesItaly
In The Last Decade
Henrique Ferraz de Arruda
28 papers receiving 475 citations
Hit Papers
Peers
Comparison fields: 5 of 138
- Statistical and Nonlinear Physics 132
- Artificial Intelligence 124
- Sociology and Political Science 58
- Molecular Biology 52
- Computer Vision and Pattern Recognition 41
Countries citing papers authored by Henrique Ferraz de Arruda
This map shows the geographic impact of Henrique Ferraz de Arruda'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 Henrique Ferraz de Arruda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henrique Ferraz de Arruda more than expected).
Fields of papers citing papers by Henrique Ferraz de Arruda
This network shows the impact of papers produced by Henrique Ferraz de Arruda. 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 Henrique Ferraz de Arruda. The network helps show where Henrique Ferraz de Arruda may publish in the future.
Co-authorship network of co-authors of Henrique Ferraz de Arruda
This figure shows the co-authorship network connecting the top 25 collaborators of Henrique Ferraz de Arruda. A scholar is included among the top collaborators of Henrique Ferraz de Arruda 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 Henrique Ferraz de Arruda. Henrique Ferraz de Arruda 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 | 10 | |
| 3 | 3 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 2 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 3 | |
| 11 | 2 | |
| 12 | Principal Component Analysisbreakdown → | 209 |
| 13 | 36 | |
| 14 | 12 | |
| 15 | 10 | |
| 16 | 54 | |
| 17 | 7 | |
| 18 | 2 | |
| 19 | PARALELIZAÇÃO DE ALGORITMOS DE TRIMAP UTILIZANDO A ARQUITETURA CUDA | 0 |
| 20 | 0 |
About Henrique Ferraz de Arruda
Henrique Ferraz de Arruda is a scholar working on Statistical and Nonlinear Physics, Transportation and Computer Vision and Pattern Recognition, having authored 32 papers that have together received 494 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (15 papers), Opinion Dynamics and Social Influence (11 papers) and Advanced Text Analysis Techniques (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (132 citations), Artificial Intelligence (124 citations) and Communication (23 citations). Henrique Ferraz de Arruda has collaborated with scholars based in Brazil, United States and Italy. Frequent co-authors include Luciano da Fontoura Costa, Diego R. Amancio, Filipi N. Silva, César H. Comin, Gustavo R. Ferreira, Yamir Moreno, Guilherme Ferraz de Arruda, Alberto Aleta, João Manuel R. S. Tavares and Erik Meijaard. Their work appears in journals such as SHILAP Revista de lepidopterología, ACM Computing Surveys and Information Sciences.
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.