About
In recent decades, authors affiliated with Universitas Abdurrab have published 264 papers, which have received a total of 1.8k indexed citations.
Scholars at this organization have produced 36 papers in Sociology and Political Science, 36 papers in Pediatrics, Perinatology and Child Health and 34 papers in Information Systems on the topics of Public Health and Nutrition (35 papers), COVID-19 Prevention and Impact (23 papers) and Medicinal Plant Research (21 papers). Their work is cited by papers focused on Molecular Biology (325 citations), Plant Science (252 citations) and Food Science (190 citations). Authors at Universitas Abdurrab collaborate with scholars in
Indonesia,
Malaysia and
India and have published in prestigious journals including
PLoS ONE,
Scientific Reports and
Construction and Building Materials. Some of Universitas Abdurrab's most productive authors include
Visweswara Rao Pasupuleti,
Praveen Kumar Basivi,
Vijay Kakani,
Hakil Kim,
Van Huan Nguyen,
Mohd Adnan,
Md. Imtaiyaz Hassan,
Manzar Alam,
Abdelbaset Mohamed Elasbali and
Shoaib Alam.
This network shows the impact of papers affiliated with Universitas Abdurrab at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Universitas Abdurrab at the time of their publication.
This map shows the geographic impact of research produced by authors working at Universitas Abdurrab. 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 produced at Universitas Abdurrab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Universitas Abdurrab 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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