Scientific Data
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In The Last Decade
Scientific Data
4.4k papers receiving 113.3k citations
Fields of papers published in Scientific Data
This network shows the impact of papers published in Scientific Data. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Scientific Data.
Countries where authors publish in Scientific Data
This map shows the geographic impact of research published in Scientific Data. 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 published in Scientific Data with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scientific Data more than expected).
- Present and future Köppen-Geiger climate classification maps at 1-km resolution (2018)
- MIMIC-III, a freely accessible critical care database (2016)
- The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes (2015)
- Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset (2020)
- TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015 (2018)
- MIMIC-IV, a freely accessible electronic health record dataset (2023)
- The eICU Collaborative Research Database, a freely available multi-center database for critical care research (2018)
- PTB-XL, a large publicly available electrocardiography dataset (2020)
- Distributed solar photovoltaic array location and extent dataset for remote sensing object identification (2016)
- Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015 (2018)
- The TRUST Principles for digital repositories (2020)
- The Chemical and Products Database, a resource for exposure-relevant data on chemicals in consumer products (2018)
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.