Alessio Farcomeni
Impact in
- Hepatology top 0.5%
- Liver Disease and Transplantation
- Molecular Medicine top 0.5%
- Antibiotic Resistance in Bacteria
Papers in
-
- Statistical Methods and Inference 41
- Statistical Methods and Bayesian Inference 29
- Advanced Statistical Methods and Models 23
- Census and Population Estimation 15
-
- Bayesian Methods and Mixture Models 39
- Co-authors
- Daniele Pastori (41 shared papers)Francesco Bartolucci (16 shared papers)Manuela Merli (16 shared papers)Oliviero Riggio (16 shared papers)Francesco Violi (36 shared papers)Marco Falcone (17 shared papers)Pasquale Pignatelli (33 shared papers)Gregory Y.H. Lip (23 shared papers)
- Journals
- Test (8 papers)Statistics and Computing (7 papers)International Journal of Cardiology (6 papers)Computational Statistics & Data Analysis (6 papers)Biometrical Journal (6 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Alessio Farcomeni
297 papers receiving 8.8k citations
Peers
Comparison fields: 5 of 193
- Hepatology 1.2k
- Molecular Medicine 554
- Statistics and Probability 899
- Applied Microbiology and Biotechnology 195
- Internal Medicine 148
Countries citing papers authored by Alessio Farcomeni
This map shows the geographic impact of Alessio Farcomeni'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 Alessio Farcomeni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessio Farcomeni more than expected).
Fields of papers citing papers by Alessio Farcomeni
This network shows the impact of papers produced by Alessio Farcomeni. 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 Alessio Farcomeni. The network helps show where Alessio Farcomeni may publish in the future.
Co-authors
The 25 scholars most cited alongside Alessio Farcomeni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 311 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 270 | |
| 2 | 2017 | 264 | |
| 3 | 2008 | 247 | |
| 4 | 2013 | 234 | |
| 5 | 2009 | 223 | |
| 6 | 2008 | 205 | |
| 7 | 2015 | 174 | |
| 8 | 2019 | 172 | |
| 9 | 2016 | 162 | |
| 10 | 2007 | 150 | |
| 11 | 2015 | 148 | |
| 12 | 2020 | 145 | |
| 13 | 2011 | 143 | |
| 14 | 2015 | 140 | |
| 15 | 2012 | 135 | |
| 16 | 2022 | 134 | |
| 17 | 2018 | 129 | |
| 18 | 2019 | 123 | |
| 19 | 2020 | 117 | |
| 20 | 2016 | 113 |
About Alessio Farcomeni
Alessio Farcomeni is a scholar working on Statistics and Probability, Artificial Intelligence, Cardiology and Cardiovascular Medicine, Epidemiology and Surgery, having authored 311 papers that have together received 8.9k indexed citations. Recurring topics across this work include Statistical Methods and Inference (41 papers), Bayesian Methods and Mixture Models (39 papers), Statistical Methods and Bayesian Inference (29 papers), Atrial Fibrillation Management and Outcomes (27 papers), Advanced Statistical Methods and Models (23 papers), Liver Disease and Transplantation (16 papers), Census and Population Estimation (15 papers) and Ecology and Vegetation Dynamics Studies (12 papers). The work is most often cited by research in Hepatology (1.2k citations), Molecular Medicine (554 citations), Statistics and Probability (899 citations), Applied Microbiology and Biotechnology (195 citations) and Internal Medicine (148 citations). Alessio Farcomeni has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Daniele Pastori, Francesco Bartolucci, Manuela Merli, Oliviero Riggio, Francesco Violi, Marco Falcone, Pasquale Pignatelli, Gregory Y.H. Lip, Lorenzo Loffredo and Barbara Lattanzi. Their work appears in journals such as Test, Statistics and Computing, International Journal of Cardiology, Computational Statistics & Data Analysis and Biometrical Journal.
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.