Daniel Fabbri
- Artificial Intelligence top 5%
- Neurology top 5%
- Computer Vision and Pattern Recognition top 5%
- General Health Professions top 10%
- Health Information Management top 1%
- Co-authors
- Bennett A. LandmanAndrew J. PlassardBradley MalinGretchen Purcell JacksonKristen LeFevreS. Trent RosenbloomRobert M. CroninLinda Zhang
- Topics
- Electronic Health Records Systems (9 papers)Data Quality and Management (9 papers)Health Literacy and Information Accessibility (8 papers)
- Journals
- CirculationJournal of Clinical OncologySHILAP Revista de lepidopterología
- Partner nations
- United StatesCanadaItaly
In The Last Decade
Daniel Fabbri
74 papers receiving 967 citations
Peers
Comparison fields: 5 of 120
- Artificial Intelligence 317
- Neurology 205
- Computer Vision and Pattern Recognition 191
- General Health Professions 137
- Health Information Management 127
Countries citing papers authored by Daniel Fabbri
This map shows the geographic impact of Daniel Fabbri'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 Daniel Fabbri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Fabbri more than expected).
Fields of papers citing papers by Daniel Fabbri
This network shows the impact of papers produced by Daniel Fabbri. 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 Daniel Fabbri. The network helps show where Daniel Fabbri may publish in the future.
Co-authorship network of co-authors of Daniel Fabbri
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fabbri. A scholar is included among the top collaborators of Daniel Fabbri 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 Daniel Fabbri. Daniel Fabbri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 7 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 9 | |
| 9 | 4 | |
| 10 | 28 | |
| 11 | 11 | |
| 12 | 24 | |
| 13 | A Game-Theoretic Approach for Alert Prioritization | 6 |
| 14 | 2 | |
| 15 | 41 | |
| 16 | Data-Driven System for Perioperative Acuity Prediction. | 1 |
| 17 | 14 | |
| 18 | 44 | |
| 19 | 33 | |
| 20 | PrivatePond: Outsourced Management of Web Corpuses | 1 |
About Daniel Fabbri
Daniel Fabbri is a scholar working on Health Information Management, Family Practice and Health Informatics, having authored 79 papers that have together received 1.0k indexed citations. Recurring topics across this work include Electronic Health Records Systems (9 papers), Data Quality and Management (9 papers) and Health Literacy and Information Accessibility (8 papers). The work is most often cited by research in Health Informatics (45 citations), Health Information Management (127 citations) and Neurology (205 citations). Daniel Fabbri has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Bennett A. Landman, Andrew J. Plassard, Bradley Malin, Gretchen Purcell Jackson, Kristen LeFevre, S. Trent Rosenbloom, Robert M. Cronin, Linda Zhang, David T. Kent and Joshua C. Denny. Their work appears in journals such as Circulation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.
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.