Giuseppe De Gregorio

8 papers and 143 indexed citations i.

About

Giuseppe De Gregorio is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Giuseppe De Gregorio has authored 8 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Plant Science. Recurrent topics in Giuseppe De Gregorio’s work include Handwritten Text Recognition Techniques (2 papers), DNA Repair Mechanisms (2 papers) and Microtubule and mitosis dynamics (1 paper). Giuseppe De Gregorio is often cited by papers focused on Handwritten Text Recognition Techniques (2 papers), DNA Repair Mechanisms (2 papers) and Microtubule and mitosis dynamics (1 paper). Giuseppe De Gregorio collaborates with scholars based in Italy, United States and Iraq. Giuseppe De Gregorio's co-authors include Vinay V. Eapen, Chetan C. Rawal, F. Marini, Federico Lazzaro, Michael Tsabar, Achille Pellicioli, Diego Dibitetto, James E. Haber, Marek Łuczkowski and Daniela Valensin and has published in prestigious journals such as PLoS Genetics, Journal of Inorganic Biochemistry and Engineering Applications of Artificial Intelligence.

In The Last Decade

Co-authorship network of co-authors of Giuseppe De Gregorio i

Fields of papers citing papers by Giuseppe De Gregorio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Giuseppe De Gregorio

Since Specialization
Citations

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