Diego Carrera

About

Diego Carrera is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, Diego Carrera has authored 23 papers receiving a total of 261 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 5 papers in Electrical and Electronic Engineering and 5 papers in Biomedical Engineering. Recurrent topics in Diego Carrera’s work include Anomaly Detection Techniques and Applications (9 papers), Adaptation to Concept Drift in Data Streams (5 papers) and Time Series Analysis and Forecasting (4 papers). Diego Carrera is often cited by papers focused on Anomaly Detection Techniques and Applications (9 papers), Adaptation to Concept Drift in Data Streams (5 papers) and Time Series Analysis and Forecasting (4 papers). Diego Carrera collaborates with scholars based in Italy, United States and Finland. Diego Carrera's co-authors include Giacomo Boracchi, Ettore Lanzarone, Pasqualina Fragneto, Beatrice Rossi, Alessandro Foi, Brendt Wohlberg, Cesare Alippi, Cristiano Cervellera, Manuel Roveri and L. Mannucci and has published in prestigious journals such as Pattern Recognition, Thrombosis and Haemostasis and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Co-authorship network of co-authors of Diego Carrera i

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Fields of papers citing papers by Diego Carrera

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Diego Carrera

Since Specialization

Citations

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