Data Management (Italy)

447 papers and 13.3k indexed citations i.

About

In recent decades, authors affiliated with Data Management (Italy) have published 447 papers, which have received a total of 13.3k indexed citations. Scholars at this organization have produced 62 papers in Pulmonary and Respiratory Medicine, 61 papers in Epidemiology and 58 papers in Surgery on the topics of Asthma and respiratory diseases (17 papers), Allergic Rhinitis and Sensitization (16 papers) and Scientific Computing and Data Management (15 papers). Their work is cited by papers focused on Pulmonary and Respiratory Medicine (2.2k citations), Surgery (2.0k citations) and Oncology (2.0k citations). Authors at Data Management (Italy) collaborate with scholars in Italy, United States and France and have published in prestigious journals including New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA. Some of Data Management (Italy)'s most productive authors include Victor Markowitz, Seth M. Steinberg, Valentina Panetta, David J. Liewehr, Gudrun Schütze, W. de Vries, P.F.A.M. Römkens, Ilana F. Gareen, Sarah E. Baum and Irene Mahon.

In The Last Decade

Fields of papers published by authors at Data Management (Italy)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Data Management (Italy) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Data Management (Italy) at the time of their publication.

Countries citing scholars working at Data Management (Italy)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Data Management (Italy). 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 papers produced at Data Management (Italy) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Data Management (Italy) 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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