Institut d'Estadística de Catalunya
Impact in
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- Urban Green Space and Health
- Air Quality and Health Impacts
- Climate Change and Health Impacts
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- Advanced Statistical Methods and Models
- Statistical Methods and Inference
Papers in
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- Advanced Statistical Methods and Models 18
- Statistical Methods and Inference 15
- Statistical Methods and Bayesian Inference 9
- Top scholars
- C. M. CuadrasC. ArenasVı́ctor GómezAgustı́n MaravallJavier YáñezJoan Costa‐FontXavier BasagañaDavid Martínez
- Journals
- Genetica (4 papers)Journal of Biomedical Materials Research (4 papers)Clinical & Translational Oncology (3 papers)Top (3 papers)Biomaterials (3 papers)
- Partner nations
- SpainUnited StatesMexico
In The Last Decade
Institut d'Estadística de Catalunya
262 papers receiving 4.3k citations
Peers
Comparison fields: 5 of 215
- Health, Toxicology and Mutagenesis 747
- Statistics and Probability 328
- Speech and Hearing 230
- General Decision Sciences 43
- Transportation 127
Countries citing scholars working at Institut d'Estadística de Catalunya
This map shows the geographic impact of research produced by authors working at Institut d'Estadística de Catalunya. 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 papers produced at Institut d'Estadística de Catalunya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Institut d'Estadística de Catalunya more than expected).
Fields of papers published by authors at Institut d'Estadística de Catalunya
This network shows the impact of papers affiliated with Institut d'Estadística de Catalunya at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Institut d'Estadística de Catalunya at the time of their publication.
About Institut d'Estadística de Catalunya
In recent decades, authors affiliated with Institut d'Estadística de Catalunya have published 338 papers, which have received a total of 5.0k indexed citations . Scholars at this organization have produced 42 papers in Statistics and Probability, 24 papers in Management Science and Operations Research, 10 papers in Health, 15 papers in Insect Science and 8 papers in Statistics, Probability and Uncertainty on the topics of Advanced Statistical Methods and Models (18 papers), Statistical Methods and Inference (15 papers), Insect behavior and control techniques (11 papers), Genetic diversity and population structure (9 papers), Statistical Methods and Bayesian Inference (9 papers), Insect Pest Control Strategies (8 papers), Silkworms and Sericulture Research (8 papers) and Global Cancer Incidence and Screening (7 papers). Their work is cited by papers focused on Health, Toxicology and Mutagenesis (747 citations), Statistics and Probability (328 citations), Speech and Hearing (230 citations), General Decision Sciences (43 citations) and Transportation (127 citations). Authors at Institut d'Estadística de Catalunya collaborate with scholars in Spain, United States and Mexico and have published in prestigious journals including Genetica, Journal of Biomedical Materials Research, Clinical & Translational Oncology, Top and Biomaterials. Some of Institut d'Estadística de Catalunya's most productive authors include C. M. Cuadras, C. Arenas, Vı́ctor Gómez, Agustı́n Maravall, Javier Yáñez, Joan Costa‐Font, Xavier Basagaña, David Martínez, Mark Nieuwenhuijsen and Marta Cirach.
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.