Padua

5 papers and 210 indexed citations i.

About

Padua is a scholar working on Computer Networks and Communications, Hardware and Architecture and Molecular Biology. According to data from OpenAlex, Padua has authored 5 papers receiving a total of 210 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Computer Networks and Communications, 2 papers in Hardware and Architecture and 1 paper in Molecular Biology. Recurrent topics in Padua’s work include Parallel Computing and Optimization Techniques (2 papers), TGF-β signaling in diseases (1 paper) and Advanced Wireless Network Optimization (1 paper). Padua is often cited by papers focused on Parallel Computing and Optimization Techniques (2 papers), TGF-β signaling in diseases (1 paper) and Advanced Wireless Network Optimization (1 paper). Padua collaborates with scholars based in United States. Padua's co-authors include Kuck, Lawrie, KUHN KUHN, Gajski, Tang, Li -, Dávid and Xiaoyong and has published in prestigious journals such as Computer, IEEE Transactions on Computers and 细胞研究:英文版.

In The Last Decade

Co-authorship network of co-authors of Padua i

Fields of papers citing papers by Padua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Padua

Since Specialization
Citations

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