Daniel Fabbri

75 papers receiving 1.0k citations

Peers

Daniel Fabbri
Comparison fields: 5 of 113
  • Health Informatics 35
  • Neurology 204
  • Health Information Management 103
  • Family Practice 15
  • Computer Vision and Pattern Recognition 183
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Citations per year

Countries citing papers authored by Daniel Fabbri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Daniel Fabbri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Fabbri Line = papers co-authored together Daniel Fabbri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017217
2 201974
3 201759
4 201746
5 201544
6 201533
7
Automated Classification of Consumer Health Information Needs in Patient Portal Messages.
201532
8 201830
9 201829
10 201128
11 201927
12 201525
13 201825
14 201722
15 201221
16
A Crowdsourcing Framework for Medical Data Sets.
201818
17 202417
18 201614
19
Mining Twitter as a First Step toward Assessing the Adequacy of Gender Identification Terms on Intake Forms.
201514
20 201612

About Daniel Fabbri

Daniel Fabbri is a scholar working on Artificial Intelligence, Health Information Management, Surgery, Computer Networks and Communications and Information Systems, having authored 79 papers that have together received 1.1k indexed citations. Recurring topics across this work include Electronic Health Records Systems (7 papers), Data Quality and Management (6 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers), Information and Cyber Security (4 papers), Scientific Computing and Data Management (4 papers), Smart Grid Security and Resilience (4 papers), Biomedical Text Mining and Ontologies (4 papers) and Blood Pressure and Hypertension Studies (3 papers). The work is most often cited by research in Health Informatics (35 citations), Neurology (204 citations), Health Information Management (103 citations), Family Practice (15 citations) and Computer Vision and Pattern Recognition (183 citations). Daniel Fabbri has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Bennett A. Landman, Andrew J. Plassard, Bradley Malin, Gretchen Purcell Jackson, Kristen LeFevre, Robert M. Cronin, S. Trent Rosenbloom, Linda Zhang, Joshua C. Denny and David T. Kent. Their work appears in journals such as Applied Clinical Informatics, Journal of Biomedical Informatics, SLEEP, Journal of Medical Systems and Journal of Medical Internet Research.

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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