Alberto Tonda

65 papers and 798 indexed citations i.

About

Alberto Tonda is a scholar working on Artificial Intelligence, Molecular Biology and Food Science. According to data from OpenAlex, Alberto Tonda has authored 65 papers receiving a total of 798 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 12 papers in Molecular Biology and 9 papers in Food Science. Recurrent topics in Alberto Tonda’s work include Evolutionary Algorithms and Applications (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Agriculture Sustainability and Environmental Impact (5 papers). Alberto Tonda is often cited by papers focused on Evolutionary Algorithms and Applications (7 papers), Metaheuristic Optimization Algorithms Research (7 papers) and Agriculture Sustainability and Environmental Impact (5 papers). Alberto Tonda collaborates with scholars based in France, Italy and The Netherlands. Alberto Tonda's co-authors include Giovanni Squillero, Alejandro Lopez‐Rincon, Curt A. Bronkhorst, Marlet Martínez‐Archundia, Aletta D. Kraneveld, Johan Garssen, Anet ­Režek ­Jambrak, Gustavo Ulises Martinez‐Ruíz, Francesco Accatino and Ilija Đjekić and has published in prestigious journals such as Scientific Reports, Journal of Cleaner Production and Trends in Food Science & Technology.

In The Last Decade

Co-authorship network of co-authors of Alberto Tonda i

Fields of papers citing papers by Alberto Tonda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alberto Tonda. 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 Alberto Tonda. The network helps show where Alberto Tonda may publish in the future.

Countries citing papers authored by Alberto Tonda

Since Specialization
Citations

This map shows the geographic impact of Alberto Tonda'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 Alberto Tonda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Tonda 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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2025