Antonella DiLillo

About

Antonella DiLillo is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Antonella DiLillo has authored 4 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Molecular Biology. Recurrent topics in Antonella DiLillo’s work include Adversarial Robustness in Machine Learning (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Teaching and Learning Programming (1 paper). Antonella DiLillo is often cited by papers focused on Adversarial Robustness in Machine Learning (2 papers), Advanced Image and Video Retrieval Techniques (1 paper) and Teaching and Learning Programming (1 paper). Antonella DiLillo collaborates with scholars based in United States. Antonella DiLillo's co-authors include Nick Moran, Aaditya Prakash, Solomon Garber, James A. Storer and Richard Alterman and has published in prestigious journals such as arXiv (Cornell University), Data Compression Conference and 2021 IEEE Frontiers in Education Conference (FIE).

In The Last Decade

Co-authorship network of co-authors of Antonella DiLillo i

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Fields of papers citing papers by Antonella DiLillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Antonella DiLillo

Since Specialization

Citations

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