Joel P. Arrais
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Artificial Intelligence
- Cancer Research
- Co-authors
- José Luís OliveiraBernardete RibeiroMaryam AbbasiManuel A. S. SantosGabriela MouraMaria José CorreiaMarlene BarrosLaura Carreto
- Topics
- Computational Drug Discovery Methods (29 papers)Bioinformatics and Genomic Networks (20 papers)Machine Learning in Materials Science (12 papers)
- Partner nations
- PortugalUnited StatesBrazil
In The Last Decade
Joel P. Arrais
62 papers receiving 837 citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 485
- Computational Theory and Mathematics 297
- Materials Chemistry 125
- Artificial Intelligence 84
- Cancer Research 65
Countries citing papers authored by Joel P. Arrais
This map shows the geographic impact of Joel P. Arrais'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 Joel P. Arrais with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel P. Arrais more than expected).
Fields of papers citing papers by Joel P. Arrais
This network shows the impact of papers produced by Joel P. Arrais. 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 Joel P. Arrais. The network helps show where Joel P. Arrais may publish in the future.
Co-authorship network of co-authors of Joel P. Arrais
This figure shows the co-authorship network connecting the top 25 collaborators of Joel P. Arrais. A scholar is included among the top collaborators of Joel P. Arrais 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 Joel P. Arrais. Joel P. Arrais 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 | 4 | |
| 6 | 11 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | 7 | |
| 10 | 24 | |
| 11 | 60 | |
| 12 | 6 | |
| 13 | WEB INFORMATION SYSTEM FOR THE STUDY OF ORAL HEALTH | 0 |
| 14 | 2 | |
| 15 | 12 | |
| 16 | 28 | |
| 17 | Representation of Semantic Networks of Biomedical Terms | 0 |
| 18 | Desenvolvimento de um circuito em Handel-C para experiências com máquinas de estados finitos | 0 |
| 19 | Implementação de Algoritmo de Compressão e Descompressão de Dados para Modelo de Co-processamento baseado em FPGA’s | 0 |
| 20 | 5 |
About Joel P. Arrais
Joel P. Arrais is a scholar working on Computational Theory and Mathematics, Periodontics and Molecular Biology, having authored 73 papers that have together received 866 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (29 papers), Bioinformatics and Genomic Networks (20 papers) and Machine Learning in Materials Science (12 papers). The work is most often cited by research in Computational Theory and Mathematics (297 citations), Health Informatics (14 citations) and Periodontics (43 citations). Joel P. Arrais has collaborated with scholars based in Portugal, United States and Brazil. Frequent co-authors include José Luís Oliveira, Bernardete Ribeiro, Maryam Abbasi, Manuel A. S. Santos, Gabriela Moura, Maria José Correia, Marlene Barros, Laura Carreto, Miguel Pinheiro and Adelaide Freitas. Their work appears in journals such as Nature Communications, Bioinformatics and PLoS ONE.
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.