Raimondo Iemma
- Political Science and International Relations top 5%
- Management Science and Operations Research top 5%
- Artificial Intelligence
- Sociology and Political Science
- Management Information Systems top 10%
- Co-authors
- Federico MorandoMarco TorchianoAntonio VetròEmilio RaiteriKatleen JanssenPaul F. UhlirMichiel S. de VriesGiuseppe Procaccianti
- Topics
- E-Government and Public Services (4 papers)Privacy-Preserving Technologies in Data (4 papers)Data Quality and Management (3 papers)
- Cited by
- Management Science and Operations ResearchPolitical Science and International RelationsManagement Information Systems
In The Last Decade
Raimondo Iemma
9 papers receiving 265 citations
Hit Papers
Peers
Comparison fields: 5 of 57
- Political Science and International Relations 171
- Management Science and Operations Research 125
- Artificial Intelligence 81
- Sociology and Political Science 77
- Management Information Systems 53
Countries citing papers authored by Raimondo Iemma
This map shows the geographic impact of Raimondo Iemma'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 Raimondo Iemma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raimondo Iemma more than expected).
Fields of papers citing papers by Raimondo Iemma
This network shows the impact of papers produced by Raimondo Iemma. 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 Raimondo Iemma. The network helps show where Raimondo Iemma may publish in the future.
Co-authorship network of co-authors of Raimondo Iemma
This figure shows the co-authorship network connecting the top 25 collaborators of Raimondo Iemma. A scholar is included among the top collaborators of Raimondo Iemma 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 Raimondo Iemma. Raimondo Iemma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | Open data quality measurement framework: Definition and application to Open Government Databreakdown → | 242 |
| 3 | Collaborative Open Data versioning: a pragmatic approach using Linked Data | 1 |
| 4 | An Exploratory Empirical Assessment of Italian Open Government Data Quality With an eye to enabling linked open data | 1 |
| 5 | OpenCoesione and Monithon - a Transparency Effort | 1 |
| 6 | 4 | |
| 7 | 21 | |
| 8 | 1 | |
| 9 | 5 | |
| 10 | The 'principles governing charging' for re-use of public sector information | 2 |
About Raimondo Iemma
Raimondo Iemma is a scholar working on Management Science and Operations Research, Political Science and International Relations and Artificial Intelligence, having authored 10 papers that have together received 283 indexed citations. Recurring topics across this work include E-Government and Public Services (4 papers), Privacy-Preserving Technologies in Data (4 papers) and Data Quality and Management (3 papers). The work is most often cited by research in Management Science and Operations Research (125 citations), Political Science and International Relations (171 citations) and Management Information Systems (53 citations). Raimondo Iemma has collaborated with scholars based in Italy and Germany. Frequent co-authors include Federico Morando, Marco Torchiano, Antonio Vetrò, Emilio Raiteri, Katleen Janssen, Paul F. Uhlir, Michiel S. de Vries, Giuseppe Procaccianti and Paul Torremans. Their work appears in journals such as Government Information Quarterly, Internet Policy Review and International Journal of Electronic Governance.
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.