Artidoro Pagnoni

About

Artidoro Pagnoni is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Industrial relations. According to data from OpenAlex, Artidoro Pagnoni has authored 5 papers receiving a total of 126 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 1 paper in Computer Vision and Pattern Recognition and 0 papers in Industrial relations. Recurrent topics in Artidoro Pagnoni’s work include Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (2 papers). Artidoro Pagnoni is often cited by papers focused on Topic Modeling (4 papers), Natural Language Processing Techniques (4 papers) and Advanced Text Analysis Techniques (2 papers). Artidoro Pagnoni collaborates with scholars based in United States, South Korea and United Kingdom. Artidoro Pagnoni's co-authors include Yulia Tsvetkov, Vidhisha Balachandran, Dheeraj Rajagopal, Jaime Carbonell, Ce Zhang, Sehoon Kim, Matteo Interlandi, Saeed Amizadeh, Byung-Gon Chun and Markus Weimer and has published in prestigious journals such as Proceedings of the VLDB Endowment, arXiv (Cornell University) and Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

In The Last Decade

Co-authorship network of co-authors of Artidoro Pagnoni i

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Fields of papers citing papers by Artidoro Pagnoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Artidoro Pagnoni

Since Specialization

Citations

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