Daniela Luzi

88 papers receiving 765 citations

Peers

Daniela Luzi
Comparison fields: 5 of 139
  • Health Information Management 46
  • Information Systems and Management 55
  • Statistics, Probability and Uncertainty 55
  • Family Practice 12
  • Health Informatics 10
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Citations per year

Countries citing papers authored by Daniela Luzi

Since Specialization
Citations

This map shows the geographic impact of Daniela Luzi'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 Daniela Luzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Luzi more than expected).

Fields of papers citing papers by Daniela Luzi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Luzi. 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 Daniela Luzi. The network helps show where Daniela Luzi may publish in the future.

Co-authors

The 25 scholars most cited alongside Daniela Luzi, 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 Daniela Luzi Line = papers co-authored together Daniela Luzi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020107
2 200648
3 201544
4 201443
5
Construction and Validation of Textbook Analysis Grids for Ecology and Environmental Education.
200836
6 202035
7 202132
8 201830
9 201829
10 200028
11 202121
12 201421
13 201417
14 202114
15 201613
16
WITH: a system to write clinical trials using XML and RDBMS.
200212
17
Comparing health education approaches in textbooks of sixteen countries
200812
18 199811
19 202011
20 202210

About Daniela Luzi

Daniela Luzi is a scholar working on Management Information Systems, Health Information Management, Information Systems and Management, General Health Professions and Information Systems, having authored 97 papers that have together received 806 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (16 papers), Biomedical Text Mining and Ontologies (12 papers), Electronic Health Records Systems (11 papers), Research Data Management Practices (10 papers), Scientific Computing and Data Management (9 papers), Business Process Modeling and Analysis (9 papers), Optics and Image Analysis (8 papers) and Child and Adolescent Health (7 papers). The work is most often cited by research in Health Information Management (46 citations), Information Systems and Management (55 citations), Statistics, Probability and Uncertainty (55 citations), Family Practice (12 citations) and Health Informatics (10 citations). Daniela Luzi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Fabrizio Pecoraro, Fabrizio Clemente, Adriana Valente, Oscar Tamburis, Tony Ross-Hellauer, Jonathan Peter Tennant, Peter Kraker, Margot Mütsch, Sibylle Metzler and Paolo Anagnostou. Their work appears in journals such as PLoS ONE, Publishing Research Quarterly, International Journal of Environmental Research and Public Health, European Journal of Public Health and The Lancet Child & Adolescent Health.

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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