Ariel Izcovich
- Infectious Diseases top 5%
- Surgery top 10%
- Neurology top 5%
- Epidemiology
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Gordon GuyattHolger J. SchünemannRomina Brignardello‐PetersenReem A. MustafaM. Hassan MuradH CatalanoGabriel RadaMonica Hultcrantz
- Topics
- Meta-analysis and systematic reviews (13 papers)COVID-19 Clinical Research Studies (8 papers)Health Systems, Economic Evaluations, Quality of Life (8 papers)
- Cited by
- Statistics, Probability and UncertaintyInfectious DiseasesCritical Care and Intensive Care Medicine
- Journals
- SHILAP Revista de lepidopterologíaAnnals of Internal MedicinePLoS ONE
- Partner nations
- ArgentinaCanadaUnited States
In The Last Decade
Ariel Izcovich
41 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Infectious Diseases 449
- Surgery 327
- Neurology 247
- Epidemiology 242
- Cardiology and Cardiovascular Medicine 227
Countries citing papers authored by Ariel Izcovich
This map shows the geographic impact of Ariel Izcovich'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 Ariel Izcovich with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ariel Izcovich more than expected).
Fields of papers citing papers by Ariel Izcovich
This network shows the impact of papers produced by Ariel Izcovich. 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 Ariel Izcovich. The network helps show where Ariel Izcovich may publish in the future.
Co-authorship network of co-authors of Ariel Izcovich
This figure shows the co-authorship network connecting the top 25 collaborators of Ariel Izcovich. A scholar is included among the top collaborators of Ariel Izcovich 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 Ariel Izcovich. Ariel Izcovich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | GRADE guidance 36: updates to GRADE's approach to addressing inconsistencybreakdown → | 73 |
| 8 | 65 | |
| 9 | 14 | |
| 10 | 1 | |
| 11 | 35 | |
| 12 | 7 | |
| 13 | 6 | |
| 14 | 17 | |
| 15 | 38 | |
| 16 | 21 | |
| 17 | The GRADE Working Group clarifies the construct of certainty of evidencebreakdown → | 468 |
| 18 | 2 | |
| 19 | 1 | |
| 20 | 6 |
About Ariel Izcovich
Ariel Izcovich is a scholar working on Internal Medicine, Statistics, Probability and Uncertainty and Family Practice, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (13 papers), COVID-19 Clinical Research Studies (8 papers) and Health Systems, Economic Evaluations, Quality of Life (8 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (199 citations), Infectious Diseases (449 citations) and Critical Care and Intensive Care Medicine (101 citations). Ariel Izcovich has collaborated with scholars based in Argentina, Canada and United States. Frequent co-authors include Gordon Guyatt, Holger J. Schünemann, Romina Brignardello‐Petersen, Reem A. Mustafa, M. Hassan Murad, H Catalano, Gabriel Rada, Monica Hultcrantz, Robin Christensen and Nancy Santesso. Their work appears in journals such as SHILAP Revista de lepidopterología, Annals of Internal Medicine and PLoS ONE.
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.