Irene V. Pasquetto

20 papers and 363 indexed citations i.

About

Irene V. Pasquetto is a scholar working on Information Systems, Information Systems and Management and Sociology and Political Science. According to data from OpenAlex, Irene V. Pasquetto has authored 20 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 9 papers in Information Systems and Management and 8 papers in Sociology and Political Science. Recurrent topics in Irene V. Pasquetto’s work include Research Data Management Practices (10 papers), Scientific Computing and Data Management (7 papers) and Data Quality and Management (5 papers). Irene V. Pasquetto is often cited by papers focused on Research Data Management Practices (10 papers), Scientific Computing and Data Management (7 papers) and Data Quality and Management (5 papers). Irene V. Pasquetto collaborates with scholars based in United States, Canada and Italy. Irene V. Pasquetto's co-authors include Christine L. Borgman, Morgan Currie, Britt Paris, Roderic Crooks, Milena S. Golshan, Peter T. Darch, Sharon Traweek, Jillian C. Wallis, Eaman Jahani and Matthew Baum and has published in prestigious journals such as Communications of the ACM, Journal of Documentation and Journal of the Association for Information Science and Technology.

In The Last Decade

Co-authorship network of co-authors of Irene V. Pasquetto i

Fields of papers citing papers by Irene V. Pasquetto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Irene V. Pasquetto. 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 Irene V. Pasquetto. The network helps show where Irene V. Pasquetto may publish in the future.

Countries citing papers authored by Irene V. Pasquetto

Since Specialization
Citations

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