Angelo Rosa
Impact in
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- Quality and Safety in Healthcare
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- Quality and Supply Management
- Big Data and Business Intelligence
Papers in
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- Quality and Supply Management 12
- Business Process Modeling and Analysis 3
- Big Data and Business Intelligence 3
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- Organizational Leadership and Management Strategies 3
- Co-authors
- Olivia McDermott (12 shared papers)Jiju Antony (4 shared papers)Shreeranga Bhat (3 shared papers)Ratri Parida (2 shared papers)Raja Jayaraman (2 shared papers)Manjeet Kharub (1 shared paper)Anna Trubetskaya (3 shared papers)Federico Lega (1 shared paper)
In The Last Decade
Angelo Rosa
28 papers receiving 224 citations
Peers
Comparison fields: 5 of 59
- Medical Laboratory Technology 26
- Management Information Systems 122
- Health Information Management 29
- Strategy and Management 75
- Industrial and Manufacturing Engineering 43
Countries citing papers authored by Angelo Rosa
This map shows the geographic impact of Angelo Rosa'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 Angelo Rosa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Rosa more than expected).
Fields of papers citing papers by Angelo Rosa
This network shows the impact of papers produced by Angelo Rosa. 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 Angelo Rosa. The network helps show where Angelo Rosa may publish in the future.
Co-authors
The 25 scholars most cited alongside Angelo Rosa, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 37 | |
| 2 | 2022 | 32 | |
| 3 | 2022 | 24 | |
| 4 | 2021 | 20 | |
| 5 | 2021 | 16 | |
| 6 | 2023 | 14 | |
| 7 | 2022 | 13 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 11 | |
| 10 | 2024 | 8 | |
| 11 | 2022 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2024 | 2 |
About Angelo Rosa
Angelo Rosa is a scholar working on Management Information Systems, Strategy and Management, Health Information Management, Medical Laboratory Technology and Economics and Econometrics, having authored 33 papers that have together received 238 indexed citations. Recurring topics across this work include Quality and Supply Management (12 papers), Quality and Safety in Healthcare (6 papers), Health Systems, Economic Evaluations, Quality of Life (5 papers), Healthcare Quality and Management (5 papers), Digital Transformation in Industry (4 papers), Business Process Modeling and Analysis (3 papers), Big Data and Business Intelligence (3 papers) and Organizational Leadership and Management Strategies (3 papers). The work is most often cited by research in Medical Laboratory Technology (26 citations), Management Information Systems (122 citations), Health Information Management (29 citations), Strategy and Management (75 citations) and Industrial and Manufacturing Engineering (43 citations). Angelo Rosa has collaborated with scholars based in Italy, Ireland and India. Frequent co-authors include Olivia McDermott, Jiju Antony, Shreeranga Bhat, Ratri Parida, Raja Jayaraman, Manjeet Kharub, Anna Trubetskaya, Federico Lega, Francesco Manfredi and Paola Adinolfi. Their work appears in journals such as The TQM Journal, International Journal of Lean Six Sigma, International Journal of Environmental Research and Public Health, Knowledge Management Research & Practice and British Food Journal.
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.