Iván Martínez‐Baz
- Epidemiology top 5%
- Infectious Diseases top 5%
- Health top 2%
- Modeling and Simulation top 1%
- Hepatology top 5%
- Co-authors
- Jesús CastillaCarmen EzpeletaItziar CasadoMarcela GuevaraAna NavascuésManuel Garcìa CenozEsther AlbénizCamino Trobajo‐Sanmartín
- Topics
- Respiratory viral infections research (39 papers)Influenza Virus Research Studies (38 papers)COVID-19 epidemiological studies (23 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEClinical Infectious Diseases
In The Last Decade
Iván Martínez‐Baz
71 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Epidemiology 967
- Infectious Diseases 440
- Health 327
- Modeling and Simulation 254
- Hepatology 160
Countries citing papers authored by Iván Martínez‐Baz
This map shows the geographic impact of Iván Martínez‐Baz'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 Iván Martínez‐Baz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iván Martínez‐Baz more than expected).
Fields of papers citing papers by Iván Martínez‐Baz
This network shows the impact of papers produced by Iván Martínez‐Baz. 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 Iván Martínez‐Baz. The network helps show where Iván Martínez‐Baz may publish in the future.
Co-authorship network of co-authors of Iván Martínez‐Baz
This figure shows the co-authorship network connecting the top 25 collaborators of Iván Martínez‐Baz. A scholar is included among the top collaborators of Iván Martínez‐Baz 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 Iván Martínez‐Baz. Iván Martínez‐Baz 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 | 3 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | Effectiveness of Nirsevimab Immunoprophylaxis Administered at Birth to Prevent Infant Hospitalisation for Respiratory Syncytial Virus Infection: A Population-Based Cohort Studybreakdown → | 43 |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 16 | |
| 11 | 6 | |
| 12 | 15 | |
| 13 | 14 | |
| 14 | 25 | |
| 15 | 8 | |
| 16 | 49 | |
| 17 | 48 | |
| 18 | 56 | |
| 19 | 29 | |
| 20 | 0 |
About Iván Martínez‐Baz
Iván Martínez‐Baz is a scholar working on Modeling and Simulation, Health and Epidemiology, having authored 77 papers that have together received 1.3k indexed citations. Recurring topics across this work include Respiratory viral infections research (39 papers), Influenza Virus Research Studies (38 papers) and COVID-19 epidemiological studies (23 papers). The work is most often cited by research in Modeling and Simulation (254 citations), Health (327 citations) and Epidemiology (967 citations). Iván Martínez‐Baz has collaborated with scholars based in Spain, Sweden and Portugal. Frequent co-authors include Jesús Castilla, Carmen Ezpeleta, Itziar Casado, Marcela Guevara, Ana Navascués, Manuel Garcìa Cenoz, Esther Albéniz, Camino Trobajo‐Sanmartín, F. Irisarri and Francisco Pozo. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Clinical Infectious Diseases.
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.