Andrea Danyluk

About

Andrea Danyluk is a scholar working on Information Systems, Computer Science Applications and Artificial Intelligence. According to data from OpenAlex, Andrea Danyluk has authored 15 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 6 papers in Computer Science Applications and 5 papers in Artificial Intelligence. Recurrent topics in Andrea Danyluk’s work include Teaching and Learning Programming (6 papers), Scientific Computing and Data Management (3 papers) and Parallel Computing and Optimization Techniques (2 papers). Andrea Danyluk is often cited by papers focused on Teaching and Learning Programming (6 papers), Scientific Computing and Data Management (3 papers) and Parallel Computing and Optimization Techniques (2 papers). Andrea Danyluk collaborates with scholars based in United States. Andrea Danyluk's co-authors include Léon Bottou, Michael L. Littman, Kim B. Bruce, Thomas P. Murtagh, Scott H. Buck, Foster Provost, Brendan Burns, Joel C. Adams, David A. Moore and Christopher J. Merz and has published in prestigious journals such as Machine Learning, ACM Transactions on Computing Education and International Conference on Machine Learning.

In The Last Decade

Co-authorship network of co-authors of Andrea Danyluk i

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Fields of papers citing papers by Andrea Danyluk

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andrea Danyluk

Since Specialization

Citations

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