Laura Paglione

7 papers and 173 indexed citations i.

About

Laura Paglione is a scholar working on Information Systems, Information Systems and Management and Statistics, Probability and Uncertainty. According to data from OpenAlex, Laura Paglione has authored 7 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Information Systems, 5 papers in Information Systems and Management and 2 papers in Statistics, Probability and Uncertainty. Recurrent topics in Laura Paglione’s work include Research Data Management Practices (6 papers), Scientific Computing and Data Management (5 papers) and scientometrics and bibliometrics research (2 papers). Laura Paglione is often cited by papers focused on Research Data Management Practices (6 papers), Scientific Computing and Data Management (5 papers) and scientometrics and bibliometrics research (2 papers). Laura Paglione collaborates with scholars based in United States and United Kingdom. Laura Paglione's co-authors include Haak Laurel, Martin Fenner, Ed Pentz, Rebecca Lawrence, Brooks Hanson, Kathryn A. Kaiser, Juliane Schneider and Ted Habermann and has published in prestigious journals such as Learned Publishing, Information Services & Use and Frontiers in Research Metrics and Analytics.

In The Last Decade

Co-authorship network of co-authors of Laura Paglione i

Fields of papers citing papers by Laura Paglione

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Laura Paglione

Since Specialization
Citations

This map shows the geographic impact of Laura Paglione'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 Laura Paglione with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Paglione 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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2025