Irene V. Pasquetto
- Information Systems top 5%
- Sociology and Political Science top 10%
- Information Systems and Management top 2%
- Management Science and Operations Research top 5%
- Artificial Intelligence top 10%
- Co-authors
- Christine L. BorgmanBritt ParisMorgan CurrieMichelle A. AmazeenRoderic CrooksPeter T. DarchMilena S. GolshanShubham Atreja
- Topics
- Research Data Management Practices (15 papers)Scientific Computing and Data Management (11 papers)Data Quality and Management (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaCommunications of the ACMJournal of Documentation
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Irene V. Pasquetto
24 papers receiving 533 citations
Peers
Comparison fields: 5 of 94
- Information Systems 240
- Sociology and Political Science 185
- Information Systems and Management 175
- Management Science and Operations Research 102
- Artificial Intelligence 93
Countries citing papers authored by Irene V. Pasquetto
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).
Fields of papers citing papers by Irene V. Pasquetto
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.
Co-authorship network of co-authors of Irene V. Pasquetto
This figure shows the co-authorship network connecting the top 25 collaborators of Irene V. Pasquetto. A scholar is included among the top collaborators of Irene V. Pasquetto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Irene V. Pasquetto. Irene V. Pasquetto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 7 | |
| 8 | 28 | |
| 9 | 16 | |
| 10 | All disinformation is local: A reflection on the need and possibility of measuring impact | 1 |
| 11 | Our knowledge of knowledge infrastructures: Lessons learned and future directions | 4 |
| 12 | 57 | |
| 13 | 2 | |
| 14 | 20 | |
| 15 | 13 | |
| 16 | 1 | |
| 17 | PhD Dissertation - From Open Data to Knowledge Production: Biomedical Data Sharing and Unpredictable Data Reuses | 2 |
| 18 | 19 | |
| 19 | 58 | |
| 20 | 36 |
About Irene V. Pasquetto
Irene V. Pasquetto is a scholar working on Information Systems and Management, Information Systems and Communication, having authored 28 papers that have together received 558 indexed citations. Recurring topics across this work include Research Data Management Practices (15 papers), Scientific Computing and Data Management (11 papers) and Data Quality and Management (7 papers). The work is most often cited by research in Information Systems and Management (175 citations), Information Systems (240 citations) and Health Informatics (14 citations). Irene V. Pasquetto has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Christine L. Borgman, Britt Paris, Morgan Currie, Michelle A. Amazeen, Roderic Crooks, Peter T. Darch, Milena S. Golshan, Shubham Atreja, Matthew Baum and Eaman Jahani. Their work appears in journals such as SHILAP Revista de lepidopterología, Communications of the ACM and Journal of Documentation.
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.