Marco Podda

15 papers and 652 indexed citations i.

About

Marco Podda is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Marco Podda has authored 15 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Artificial Intelligence and 4 papers in Computational Theory and Mathematics. Recurrent topics in Marco Podda’s work include Advanced Graph Neural Networks (6 papers), Topic Modeling (5 papers) and Bioinformatics and Genomic Networks (4 papers). Marco Podda is often cited by papers focused on Advanced Graph Neural Networks (6 papers), Topic Modeling (5 papers) and Bioinformatics and Genomic Networks (4 papers). Marco Podda collaborates with scholars based in Italy, United States and Germany. Marco Podda's co-authors include Lester Packer, Maret G. Traber, C. W. Weber, Alessio Micheli, Davide Bacciu, Federico Errica, Hans Tritschler, Heinz Ulrich, Roberto Bellù and Luigi Gagliardi and has published in prestigious journals such as Bioinformatics, Scientific Reports and Biochemical and Biophysical Research Communications.

In The Last Decade

Co-authorship network of co-authors of Marco Podda i

Fields of papers citing papers by Marco Podda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Marco Podda

Since Specialization
Citations

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