Nicola De Cao

8 papers and 416 indexed citations i.

About

Nicola De Cao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Nicola De Cao has authored 8 papers receiving a total of 416 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 1 paper in Management Science and Operations Research. Recurrent topics in Nicola De Cao’s work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Nicola De Cao is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Explainable Artificial Intelligence (XAI) (2 papers). Nicola De Cao collaborates with scholars based in United Kingdom, The Netherlands and Israel. Nicola De Cao's co-authors include Ivan Titov, Wilker Aziz, Fabio Petroni, Sebastian Riedel, Yacine Jernite, Aleksandra Piktus, James Thorne, Majid Yazdani, Vladimir Karpukhin and Jean Maillard and has published in prestigious journals such as Transactions of the Association for Computational Linguistics, Wiardi Beckman Foundation (Wiardi Beckman Foundation) and Data Archiving and Networked Services (DANS).

In The Last Decade

Co-authorship network of co-authors of Nicola De Cao i

Fields of papers citing papers by Nicola De Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nicola De Cao. 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 Nicola De Cao. The network helps show where Nicola De Cao may publish in the future.

Countries citing papers authored by Nicola De Cao

Since Specialization
Citations

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