João Aires‐de‐Sousa

72 papers and 2.0k indexed citations i.

About

João Aires‐de‐Sousa is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy. According to data from OpenAlex, João Aires‐de‐Sousa has authored 72 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Computational Theory and Mathematics, 25 papers in Molecular Biology and 22 papers in Spectroscopy. Recurrent topics in João Aires‐de‐Sousa’s work include Computational Drug Discovery Methods (28 papers), Analytical Chemistry and Chromatography (16 papers) and Machine Learning in Materials Science (15 papers). João Aires‐de‐Sousa is often cited by papers focused on Computational Drug Discovery Methods (28 papers), Analytical Chemistry and Chromatography (16 papers) and Machine Learning in Materials Science (15 papers). João Aires‐de‐Sousa collaborates with scholars based in Portugal, China and France. João Aires‐de‐Sousa's 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 and has published in prestigious journals such as Angewandte Chemie International Edition, Bioinformatics and PLoS ONE.

In The Last Decade

Co-authorship network of co-authors of João Aires‐de‐Sousa i

Fields of papers citing papers by João Aires‐de‐Sousa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by João Aires‐de‐Sousa

Since Specialization
Citations

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).

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.

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