Scientific Data

144.2k citations
6.0k papers · · active since 1950

Impact in

    • Climate variability and models
    • Land Use and Ecosystem Services
    • Plant Water Relations and Carbon Dynamics
    • Flood Risk Assessment and Management
    • Species Distribution and Climate Change

Papers in

Scientific Data

5.1k papers receiving 141.7k citations

Peers

Scientific Data
Comparison fields: 5 of 245
  • Global and Planetary Change 30.2k
  • Ecological Modeling 4.4k
  • Health Informatics 1.2k
  • Atmospheric Science 16.1k
  • Environmental Engineering 12.4k
Replace Machine Learning with:
Machine Learning United States
Journal of the Royal Statistical Society Series B (Statistical Methodology) United States
Australasian Journal of Paramedicine Australia
Science Advances United States
Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences United Kingdom
Sensors China
PeerJ China
Neurocomputing China
The American Statistician United States
Pattern Recognition China
Scientific Data relative to Machine Learning United States Machine Learning's profile →
Citations per field
00.5×1.5×1.8×
Machine Learning · 1×
Citations per year

Countries where authors publish in Scientific Data

Since Specialization
Citations

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).

Fields of papers published in Scientific Data

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

About Scientific Data

The 6.0k papers published in Scientific Data in the last decades have received a total of 144.2k indexed citations . Papers published in Scientific Data usually cover Global and Planetary Change (858 papers), Ecological Modeling (141 papers), Ecology (770 papers), Environmental Engineering (396 papers) and Atmospheric Science (487 papers) specifically the topics of Genomics and Phylogenetic Studies (591 papers), Climate variability and models (210 papers), Remote Sensing in Agriculture (200 papers), Chromosomal and Genetic Variations (196 papers), Functional Brain Connectivity Studies (165 papers), EEG and Brain-Computer Interfaces (164 papers), Machine Learning in Materials Science (158 papers) and Land Use and Ecosystem Services (158 papers). The most active scholars publishing in Scientific Data are Andrew J. Tatem, Tom Pollard, Alistair E. W. Johnson, Roger G. Mark, Hylke E. Beck, David Lister, Timothy J. Osborn, Ian Harris, P. D. Jones and Noemi Vergopolan.

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.

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