Pascal Staccini

129 papers receiving 2k citations

Peers

Pascal Staccini
Comparison fields: 5 of 147
  • Health Informatics 55
  • Health Information Management 186
  • Archeology 196
  • Endocrine and Autonomic Systems 48
  • Surgery 326
Replace Chan-Hee Jo with:
Chan-Hee Jo United States
Jin Long United States
Naveen Kumar India
Nhan Do United States
Akram Alyass Canada
Mahmoud Reza Azarpazhooh Iran
Giovanni Cammaroto Italy
Nathan E. Wineinger United States
Anne Rosemary Tate United Kingdom
Eric Derom Belgium
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Citations per field
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Citations per year

Countries citing papers authored by Pascal Staccini

Since Specialization
Citations

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

Fields of papers citing papers by Pascal Staccini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 145 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011120
2 200083
3 199882
4 200274
5 200872
6 200571
7 200764
8 200362
9 200362
10 199856
11 201952
12 200150
13 200047
14 201247
15 199946
16 200444
17 199942
18 199941
19 200141
20 200641

About Pascal Staccini

Pascal Staccini is a scholar working on Health Information Management, General Health Professions, Management Information Systems, Surgery and Information Systems, having authored 145 papers that have together received 2.1k indexed citations. Recurring topics across this work include Electronic Health Records Systems (30 papers), Medical Coding and Health Information (8 papers), Innovations in Medical Education (8 papers), Health Literacy and Information Accessibility (6 papers), Business Process Modeling and Analysis (6 papers), Forensic Anthropology and Bioarchaeology Studies (6 papers), Educational Technology and E-Learning (5 papers) and Cancer Research and Treatments (5 papers). The work is most often cited by research in Health Informatics (55 citations), Health Information Management (186 citations), Archeology (196 citations), Endocrine and Autonomic Systems (48 citations) and Surgery (326 citations). Pascal Staccini has collaborated with scholars based in France, Burkina Faso and Australia. Frequent co-authors include Véronique Alunni, Gérald Quatrehomme, Marius Fieschi, J.-F. Quaranta, Michel Joubert, Annie Y S Lau, Xavier Hébuterne, Stéphane Michel Schneider, Patrice Boyer and Hervé M. Caci. Their work appears in journals such as Yearbook of Medical Informatics, International Journal of Medical Informatics, European Psychiatry, Gut and JMIR Medical Education.

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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