Advanced Powder Technology

4.9k papers and 101.0k indexed citations i.

About

The 4.9k papers published in Advanced Powder Technology in the last decades have received a total of 101.0k indexed citations. Papers published in Advanced Powder Technology usually cover Materials Chemistry (1.6k papers), Mechanical Engineering (1.5k papers) and Computational Mechanics (1.3k papers) specifically the topics of Granular flow and fluidized beds (995 papers), Mineral Processing and Grinding (491 papers) and Particle Dynamics in Fluid Flows (439 papers). The most active scholars publishing in Advanced Powder Technology are Kikuo Okuyama, Ali J. Chamkha, Asep Bayu Dani Nandiyanto, Aziz Habibi‐Yangjeh, D.D. Ganji, Shuji Matsusaka, Hamed Safikhani, Hiroaki Masuda, Sotiris E. Pratsinis and Masoud Salavati‐Niasari.

In The Last Decade

Fields of papers published in Advanced Powder Technology

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Advanced Powder Technology. 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 Advanced Powder Technology.

Countries where authors publish in Advanced Powder Technology

Since Specialization
Citations

This map shows the geographic impact of research published in Advanced Powder Technology. 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 Advanced Powder Technology with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Advanced Powder Technology 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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2025