Food Analytical Methods

3.7k papers and 64.5k indexed citations

About

The 3.7k papers published in Food Analytical Methods in the last decades have received a total of 64.5k indexed citations. Papers published in Food Analytical Methods usually cover Analytical Chemistry (1.5k papers), Food Science (1.3k papers) and Biomedical Engineering (852 papers) specifically the topics of Analytical chemistry methods development (646 papers), Advanced Chemical Sensor Technologies (580 papers) and Spectroscopy and Chemometric Analyses (565 papers). The most active scholars publishing in Food Analytical Methods are Krystyna Pyrzyńska, Anna Pękal, Da‐Wen Sun, Daniel Cozzolino, Samim Saner, Beraat Özçelik, Ayşe Karadağ, Wenchuan Guo, Isabel C.F.R. Ferreira and Hassan Karimi‐Maleh.

In The Last Decade

Food Analytical Methods

3.6k papers receiving 63.2k citations

Fields of papers published in Food Analytical Methods

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Food Analytical Methods. 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 Food Analytical Methods.

Countries where authors publish in Food Analytical Methods

Since Specialization
Citations

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

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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