Setia Pramana

1.1k total citations
74 papers, 525 citations indexed

About

Setia Pramana is a scholar working on Information Systems, Sociology and Political Science and Molecular Biology. According to data from OpenAlex, Setia Pramana has authored 74 papers receiving a total of 525 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Information Systems, 14 papers in Sociology and Political Science and 12 papers in Molecular Biology. Recurrent topics in Setia Pramana's work include Data Mining and Machine Learning Applications (14 papers), COVID-19 Prevention and Impact (7 papers) and Public Health and Nutrition (6 papers). Setia Pramana is often cited by papers focused on Data Mining and Machine Learning Applications (14 papers), COVID-19 Prevention and Impact (7 papers) and Public Health and Nutrition (6 papers). Setia Pramana collaborates with scholars based in Indonesia, Sweden and Netherlands. Setia Pramana's co-authors include Yudi Pawitan, Chen Suo, Stefano Calza, Donghwan Lee, Arie Wahyu Wijayanto, Karl Andersson, Chunde Li, Olga Hrydziuszko, Dhany Saputra and Himanshu Joshi and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Bioinformatics.

In The Last Decade

Setia Pramana

60 papers receiving 487 citations

Peers

Setia Pramana
Comparison fields: 5 of 114
  • Sociology and Political Science 123
  • Information Systems 113
  • Molecular Biology 99
  • Artificial Intelligence 75
  • Cancer Research 57
Replace Liangqiang Li with:
Liangqiang Li China
Cathelijn J. F. Waaijer Netherlands
Xuefan Dong China
Neeraj Kaushık India
Lei Cui China
Bruce L. Riddle United States
David Blanco‐Herrero Spain
Terence J. O’Neill Australia
Bruna de Paula Fonseca e Fonseca Brazil
Liangqiang Li China View profile →
Citations per field, relative to Setia Pramana
Setia Pramana · 1×
Citations per year, relative to Setia Pramana
Setia Pramana · 1×

Countries citing papers authored by Setia Pramana

Since Specialization
Citations

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

Fields of papers citing papers by Setia Pramana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Setia Pramana. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Setia Pramana. The network helps show where Setia Pramana may publish in the future.

Co-authorship network of co-authors of Setia Pramana

This figure shows the co-authorship network connecting the top 25 collaborators of Setia Pramana. A scholar is included among the top collaborators of Setia Pramana based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Setia Pramana. Setia Pramana is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 2
6 1
7 1
8 0
9 4
10 4
11 3
12 1
13 2
14 10
15 86
16 2
17 8
18 1
19 17
20 33

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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2026