G. Botti

435 citations
22 papers · 327 indexed · h-index 10
Topics
Biomedical Text Mining and Ontologies (9 papers)Semantic Web and Ontologies (8 papers)Health, Medicine and Society (3 papers)
Partner nations
FranceItaly

In The Last Decade

G. Botti

20 papers receiving 313 citations

Peers

G. Botti
Comparison fields: 5 of 70
  • Surgery 137
  • Molecular Biology 93
  • Artificial Intelligence 70
  • Oral Surgery 61
  • Rheumatology 56
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N. Martin United States
Gokul Krishnan India
Justin Yu United States
Jan Ebbing Switzerland
K. Elizabeth Hawk United States
John Dempster United Kingdom
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Sam Sedaghat Germany
G. Botti relative to N. Martin United States N. Martin's profile →
Citations per field
00.5×8.5×
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Citations per year

Countries citing papers authored by G. Botti

Since Specialization
Citations

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

Fields of papers citing papers by G. Botti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G. Botti

This figure shows the co-authorship network connecting the top 25 collaborators of G. Botti. A scholar is included among the top collaborators of G. Botti 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 G. Botti. G. Botti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Prévenir le burn out chez les étudiants en soins infirmiers.
1
2
[Preventing burnout in nursing students].
6
3 23
4 46
5 11
6 0
7 2
8 33
9
A collaborative approach to building a terminology for medical procedures using a Web-based application: from specifications to daily use.
2
10 16
11 1
12 13
13 21
14 11
15 103
16
Knowledge acquisition from the UMLS sources: application to the description of surgical procedures.
5
17 1
18 8
19 0
20 4

About G. Botti

G. Botti is a scholar working on Otorhinolaryngology, Health Information Management and Language and Linguistics, having authored 22 papers that have together received 327 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (9 papers), Semantic Web and Ontologies (8 papers) and Health, Medicine and Society (3 papers). The work is most often cited by research in Oral Surgery (61 citations), Nephrology (47 citations) and Health Information Management (30 citations). G. Botti has collaborated with scholars based in France and Italy. Frequent co-authors include Christophe Chagnaud, Anita Burgun, Marius Fieschi, P. Le Beux, G. Moulin, P. Dessi, M Cannoni, Jean‐Michel Bartoli, Jean‐Yves Gaubert and M Zanaret. Their work appears in journals such as The American Journal of Surgery, Journal of the American Medical Informatics Association and Nuclear Engineering and Design.

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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