Galileo Namata

10 papers and 1.6k indexed citations i.

About

Galileo Namata is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Management Science and Operations Research. According to data from OpenAlex, Galileo Namata has authored 10 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Statistical and Nonlinear Physics and 2 papers in Management Science and Operations Research. Recurrent topics in Galileo Namata’s work include Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (3 papers) and Data Quality and Management (2 papers). Galileo Namata is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Advanced Graph Neural Networks (3 papers) and Data Quality and Management (2 papers). Galileo Namata collaborates with scholars based in United States. Galileo Namata's co-authors include Lise Getoor, Mustafa Bilgic, Tina Eliassi‐Rad, Brian Gallagher, Prithviraj Sen, Janyce Wiebe, Swapna Somasundaran, Christopher Diehl, Tamer Elsayed and Douglas W. Oard and has published in prestigious journals such as AI Magazine, ACM Transactions on Knowledge Discovery from Data and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Galileo Namata i

Fields of papers citing papers by Galileo Namata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Galileo Namata

Since Specialization
Citations

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