Alexandre P. Francisco
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Food Science top 2%
- Epidemiology top 5%
- Molecular Medicine top 1%
- Co-authors
- João André CarriçoMário RamirezCátia VazMiguel BugalhoPedro T. MonteiroMark AchtmanNabil-Fareed AlikhanNina Luhmann
- Topics
- Genomics and Phylogenetic Studies (10 papers)Bioinformatics and Genomic Networks (7 papers)Algorithms and Data Compression (5 papers)
In The Last Decade
Alexandre P. Francisco
44 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 146
- Molecular Biology 1.1k
- Infectious Diseases 573
- Food Science 512
- Epidemiology 509
- Molecular Medicine 488
Countries citing papers authored by Alexandre P. Francisco
This map shows the geographic impact of Alexandre P. Francisco'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 Alexandre P. Francisco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexandre P. Francisco more than expected).
Fields of papers citing papers by Alexandre P. Francisco
This network shows the impact of papers produced by Alexandre P. Francisco. 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 Alexandre P. Francisco. The network helps show where Alexandre P. Francisco may publish in the future.
Co-authorship network of co-authors of Alexandre P. Francisco
This figure shows the co-authorship network connecting the top 25 collaborators of Alexandre P. Francisco. A scholar is included among the top collaborators of Alexandre P. Francisco 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 Alexandre P. Francisco. Alexandre P. Francisco is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 2 | |
| 6 | 2 | |
| 7 | 47 | |
| 8 | 9 | |
| 9 | 12 | |
| 10 | 1 | |
| 11 | GrapeTree: visualization of core genomic relationships among 100,000 bacterial pathogensbreakdown → | 636 |
| 12 | 126 | |
| 13 | 6 | |
| 14 | 30 | |
| 15 | 426 | |
| 16 | 31 | |
| 17 | 146 | |
| 18 | Global optimal eBURST analysis of multilocus typing data using a graphic matroid approachbreakdown → | 477 |
| 19 | 120 | |
| 20 | 23 |
About Alexandre P. Francisco
Alexandre P. Francisco is a scholar working on Hardware and Architecture, Artificial Intelligence and Computer Networks and Communications, having authored 47 papers that have together received 2.9k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (10 papers), Bioinformatics and Genomic Networks (7 papers) and Algorithms and Data Compression (5 papers). The work is most often cited by research in Molecular Medicine (488 citations), Endocrinology (466 citations) and Microbiology (259 citations). Alexandre P. Francisco has collaborated with scholars based in Portugal, Spain and Chile. Frequent co-authors include João André Carriço, Mário Ramirez, Cátia Vaz, Miguel Bugalho, Pedro T. Monteiro, Mark Achtman, Nabil-Fareed Alikhan, Nina Luhmann, Martin J. Sergeant and Zhemin Zhou. Their work appears in journals such as Nucleic Acids Research, 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.