Will Marrero

4 papers and 34 indexed citations i.

About

Will Marrero is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications. According to data from OpenAlex, Will Marrero has authored 4 papers receiving a total of 34 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Information Systems and 2 papers in Computer Science Applications. Recurrent topics in Will Marrero’s work include Teaching and Learning Programming (2 papers), Software Testing and Debugging Techniques (2 papers) and Software Engineering Research (2 papers). Will Marrero is often cited by papers focused on Teaching and Learning Programming (2 papers), Software Testing and Debugging Techniques (2 papers) and Software Engineering Research (2 papers). Will Marrero collaborates with scholars based in United States. Will Marrero's co-authors include Amber Settle, Sergey Berezin, Edmund M. Clarke, Somesh Jha and Edmund Clarke and has published in prestigious journals such as International Journal on Software Tools for Technology Transfer, MIT Press eBooks and Proceedings of the 11th annual SIGCSE conference on Innovation and technology in computer science education.

In The Last Decade

Co-authorship network of co-authors of Will Marrero i

Fields of papers citing papers by Will Marrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Will Marrero

Since Specialization
Citations

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