P. Bercelli
Impact in
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- Colorectal Cancer Screening and Detection
- Colorectal Cancer Surgical Treatments
- Colorectal Cancer Treatments and Studies
- Pancreatic and Hepatic Oncology Research
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- Hepatocellular Carcinoma Treatment and Prognosis
Papers in
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- Healthcare Operations and Scheduling Optimization 2
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- Health, Medicine and Society 1
- Co-authors
- Michel Velten (2 shared papers)Laurent Remontet (2 shared papers)Guy Launoy (1 shared paper)Pascale Grosclaude (1 shared paper)Florence Molinié (2 shared papers)P. Arveux (1 shared paper)Éric Jougla (1 shared paper)Vincent Dancourt (1 shared paper)
- Journals
- Revue d Épidémiologie et de Santé Publique (3 papers)Revue des Maladies Respiratoires (1 paper)2022 IEEE International Conference on Big Data (Big Data) (1 paper)Gastroentérologie Clinique et Biologique (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- France
In The Last Decade
P. Bercelli
7 papers receiving 115 citations
Peers
Comparison fields: 5 of 28
- Oncology 53
- Hepatology 12
- Pulmonary and Respiratory Medicine 34
- Surgery 34
- Epidemiology 14
Countries citing papers authored by P. Bercelli
This map shows the geographic impact of P. Bercelli'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 P. Bercelli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Bercelli more than expected).
Fields of papers citing papers by P. Bercelli
This network shows the impact of papers produced by P. Bercelli. 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 P. Bercelli. The network helps show where P. Bercelli may publish in the future.
Co-authors
The 19 scholars most cited alongside P. Bercelli, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 88 | |
| 2 | 2006 | 18 | |
| 3 | 2008 | 4 | |
| 4 | 2011 | 4 | |
| 5 | 2020 | 4 | |
| 6 | 2022 | 1 | |
| 7 | 2010 | 1 |
About P. Bercelli
P. Bercelli is a scholar working on Emergency Medical Services, General Health Professions, Management Information Systems, Oncology and Epidemiology, having authored 7 papers that have together received 120 indexed citations. Recurring topics across this work include Healthcare Operations and Scheduling Optimization (2 papers), Business Process Modeling and Analysis (1 paper), Influenza Virus Research Studies (1 paper), Clinical practice guidelines implementation (1 paper), Emergency and Acute Care Studies (1 paper), Global Cancer Incidence and Screening (1 paper), Machine Learning in Healthcare (1 paper) and Health, Medicine and Society (1 paper). The work is most often cited by research in Oncology (53 citations), Hepatology (12 citations), Pulmonary and Respiratory Medicine (34 citations), Surgery (34 citations) and Epidemiology (14 citations). P. Bercelli has collaborated with scholars based in France. Frequent co-authors include Michel Velten, Laurent Remontet, Guy Launoy, Pascale Grosclaude, Florence Molinié, P. Arveux, Éric Jougla, Vincent Dancourt, Antoine Buémi and Anne‐Marie Bouvier. Their work appears in journals such as Revue d Épidémiologie et de Santé Publique, Revue des Maladies Respiratoires, 2022 IEEE International Conference on Big Data (Big Data), Gastroentérologie Clinique et Biologique and HAL (Le Centre pour la Communication Scientifique Directe).
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.