Andréa Gesmundo

About

Andréa Gesmundo is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Cognitive Neuroscience. According to data from OpenAlex, Andréa Gesmundo has authored 14 papers receiving a total of 229 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 3 papers in Electrical and Electronic Engineering and 3 papers in Cognitive Neuroscience. Recurrent topics in Andréa Gesmundo’s work include Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Andréa Gesmundo is often cited by papers focused on Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers) and Domain Adaptation and Few-Shot Learning (3 papers). Andréa Gesmundo collaborates with scholars based in Switzerland, United States and Italy. Andréa Gesmundo's co-authors include Luca Versari, Krzysztof Potempa, Jyrki Alakuijala, Thomas Fischbacher, Iulia M. Comșa, Tanja Samardžić, Neil Houlsby, Christian Buck, Jannis Bulian and Massimiliano Ciaramita and has published in prestigious journals such as IEEE Transactions on Neural Networks and Learning Systems, Language Resources and Evaluation and CiteSeer X (The Pennsylvania State University).

In The Last Decade

Co-authorship network of co-authors of Andréa Gesmundo i

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Fields of papers citing papers by Andréa Gesmundo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Andréa Gesmundo

Since Specialization

Citations

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