Patterns

16.4k citations
803 papers · · active since 2020

Impact in

Papers in

Patterns

721 papers receiving 15.7k citations

Peers

Patterns
Comparison fields: 5 of 234
  • Health Informatics 1.6k
  • Safety Research 1.0k
  • Artificial Intelligence 3.3k
  • Biophysics 460
  • Radiology, Nuclear Medicine and Imaging 1.4k
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Patterns relative to Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery United States Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery's profile →
Citations per field
00.5×1.5×2.1×
Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery · 1×
Citations per year

Countries where authors publish in Patterns

Since Specialization
Citations

This map shows the geographic impact of research published in Patterns. 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 Patterns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patterns more than expected).

Fields of papers published in Patterns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Patterns. 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 Patterns.

About Patterns

The 803 papers published in Patterns in the last decades have received a total of 16.4k indexed citations . Papers published in Patterns usually cover Health Informatics (43 papers), Biophysics (60 papers), Information Systems and Management (57 papers), Artificial Intelligence (231 papers) and Safety Research (47 papers) specifically the topics of Cell Image Analysis Techniques (56 papers), Scientific Computing and Data Management (52 papers), Computational Drug Discovery Methods (52 papers), Single-cell and spatial transcriptomics (47 papers), Machine Learning in Materials Science (47 papers), Machine Learning in Healthcare (44 papers), Artificial Intelligence in Healthcare and Education (43 papers) and Ethics and Social Impacts of AI (43 papers). The most active scholars publishing in Patterns are Abeba Birhane, Sayash Kapoor, Arvind Narayanan, Gordon S. Blair, Sara Hooker, Natalia Norori, Qiyang Hu, Athina Tzovara, Florence Marcelle Aellen and Francesca Dalia Faraci.

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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