João Aires‐de‐Sousa
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods 29
- Spectroscopy top 2%
- Analytical Chemistry and Chromatography 16
- Molecular spectroscopy and chirality 12
- Catalysis top 5%
- Ionic liquids properties and applications 6
- Analytical Chemistry top 5%
- Organic Chemistry top 5%
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- Machine Learning in Materials Science 16
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- Metabolomics and Mass Spectrometry Studies 13
- Machine Learning in Bioinformatics 6
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- Advanced Chemical Sensor Technologies 6
- Co-authors
- Diogo A. R. S. LatinoQingyou ZhangJohann GasteigerFlorbela PereiraGonçalo V. S. M. CarreraYuri I. BinevMarkus C. HemmerAna M. Lobo
- Journals
- Angewandte Chemie International Edition (1 paper)SHILAP Revista de lepidopterología (1 paper)Bioinformatics (3 papers)
In The Last Decade
João Aires‐de‐Sousa
74 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 151
- Computational Theory and Mathematics 740
- Spectroscopy 438
- Catalysis 180
- Analytical Chemistry 159
- Organic Chemistry 453
Countries citing papers authored by João Aires‐de‐Sousa
This map shows the geographic impact of João Aires‐de‐Sousa'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 João Aires‐de‐Sousa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites João Aires‐de‐Sousa more than expected).
Fields of papers citing papers by João Aires‐de‐Sousa
This network shows the impact of papers produced by João Aires‐de‐Sousa. 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 João Aires‐de‐Sousa. The network helps show where João Aires‐de‐Sousa may publish in the future.
Co-authorship network
The 25 scholars most cited alongside João Aires‐de‐Sousa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2023 | 12 | |
| 3 | 2022 | 1 | |
| 4 | 2020 | 17 | |
| 5 | 2020 | 19 | |
| 6 | 2019 | 9 | |
| 7 | 2018 | 12 | |
| 8 | 2018 | 37 | |
| 9 | 2014 | 101 | |
| 10 | 2013 | 57 | |
| 11 | 2012 | 2 | |
| 12 | 2010 | 1 | |
| 13 | 2010 | 4 | |
| 14 | 2007 | 45 | |
| 15 | 2006 | 31 | |
| 16 | 2005 | 41 | |
| 17 | 2004 | 22 | |
| 18 | 2002 | 6 | |
| 19 | 2002 | 36 | |
| 20 | 1996 | 26 |
About João Aires‐de‐Sousa
João Aires‐de‐Sousa is a scholar working on Computational Theory and Mathematics, Spectroscopy and Catalysis, having authored 75 papers that have together received 2.1k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (29 papers), Analytical Chemistry and Chromatography (16 papers), Machine Learning in Materials Science (16 papers), Metabolomics and Mass Spectrometry Studies (13 papers), Molecular spectroscopy and chirality (12 papers), Machine Learning in Bioinformatics (6 papers), Advanced Chemical Sensor Technologies (6 papers) and Ionic liquids properties and applications (6 papers). The work is most often cited by research in Computational Theory and Mathematics (740 citations), Spectroscopy (438 citations) and Catalysis (180 citations). João Aires‐de‐Sousa has collaborated with scholars based in Portugal, China and Spain. Frequent co-authors include Diogo A. R. S. Latino, Qingyou Zhang, Johann Gasteiger, Florbela Pereira, Gonçalo V. S. M. Carrera, Yuri I. Binev, Markus C. Hemmer, Ana M. Lobo, Sunil Gupta and Kaixia Xiao. Their work appears in journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Bioinformatics.
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.