Pelatihan Software Mendeley Dalam Peningkatan Kualitas Artikel Ilmiah Bagi Mahasiswa

166 indexed citations

Abstract

loading...

About

This paper, published in 2021, received 166 indexed citations. Written by Hanafiah Hanafiah, R. Supyan Sauri, Dedi Mulyadi and Opan Arifudin covering the research area of Artificial Intelligence and Information Systems. It is primarily cited by scholars working on Education (137 citations), Information Systems (45 citations) and Sociology and Political Science (29 citations). Published in .

In The Last Decade

doi.org/w7268979 →

Countries where authors are citing Pelatihan Software Mendeley Dalam Peningkatan Kualitas Artikel Ilmiah Bagi Mahasiswa

Specialization
Citations

This map shows the geographic impact of Pelatihan Software Mendeley Dalam Peningkatan Kualitas Artikel Ilmiah Bagi Mahasiswa. 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 Pelatihan Software Mendeley Dalam Peningkatan Kualitas Artikel Ilmiah Bagi Mahasiswa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pelatihan Software Mendeley Dalam Peningkatan Kualitas Artikel Ilmiah Bagi Mahasiswa more than expected).

Fields of papers citing Pelatihan Software Mendeley Dalam Peningkatan Kualitas Artikel Ilmiah Bagi Mahasiswa

Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of Pelatihan Software Mendeley Dalam Peningkatan Kualitas Artikel Ilmiah Bagi Mahasiswa. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the Pelatihan Software Mendeley Dalam Peningkatan Kualitas Artikel Ilmiah Bagi Mahasiswa.

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.

This paper is also available at doi.org/w7268979.

Explore hit-papers with similar magnitude of impact

Rankless by CCL
2026