Daniella DiPaola

15 papers and 377 indexed citations i.

About

Daniella DiPaola is a scholar working on Computer Science Applications, Artificial Intelligence and Social Psychology. According to data from OpenAlex, Daniella DiPaola has authored 15 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Computer Science Applications, 3 papers in Artificial Intelligence and 3 papers in Social Psychology. Recurrent topics in Daniella DiPaola’s work include Teaching and Learning Programming (5 papers), AI in Service Interactions (3 papers) and Ethics and Social Impacts of AI (3 papers). Daniella DiPaola is often cited by papers focused on Teaching and Learning Programming (5 papers), AI in Service Interactions (3 papers) and Ethics and Social Impacts of AI (3 papers). Daniella DiPaola collaborates with scholars based in United States. Daniella DiPaola's co-authors include Cynthia Breazeal, Safinah Ali, Irene Lee, Baiyu Zhang, Randi Williams, Hae Won Park, Randi M. Williams, Ryan Calo, Elisabeth Soep and Maarten Sap and has published in prestigious journals such as IEEE Robotics & Automation Magazine, First Monday and JMIR Mental Health.

In The Last Decade

Co-authorship network of co-authors of Daniella DiPaola i

Fields of papers citing papers by Daniella DiPaola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniella DiPaola

Since Specialization
Citations

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