Debora Slanzi

23 papers and 278 indexed citations
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About

Debora Slanzi is a scholar working on Molecular Biology, Artificial Intelligence and Computational Theory and Mathematics. According to data from OpenAlex, Debora Slanzi has authored 23 papers receiving a total of 278 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Artificial Intelligence and 6 papers in Computational Theory and Mathematics. Recurrent topics in Debora Slanzi’s work include Protein Structure and Dynamics (4 papers), Conservation Techniques and Studies (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Debora Slanzi is often cited by papers focused on Protein Structure and Dynamics (4 papers), Conservation Techniques and Studies (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). Debora Slanzi collaborates with scholars based in Italy, United Kingdom and United States. Debora Slanzi's co-authors include Irene Poli, Marina Khoroshiltseva, Elisabetta Zendri, Silvia Torresan, Laura Falchi, Antonio Marcomini, Andrea Critto, Davide De Lucrezia, Elisa Furlan and Giovanni Minervini and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Applied Energy.

In The Last Decade

Co-authorship network of co-authors of Debora Slanzi

This figure shows the co-authorship network connecting the top 25 collaborators of Debora Slanzi. A scholar is included among the top collaborators of Debora Slanzi 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 Debora Slanzi. Debora Slanzi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

Fields of papers citing papers by Debora Slanzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Debora Slanzi

Since Specialization
Citations

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