Arman Syah Putra
- Information Systems top 2%
- Artificial Intelligence top 10%
- Education top 10%
- Management Information Systems top 5%
- Marketing top 10%
- Co-authors
- Harco Leslie Hendric Spits WarnarsMasduki AsbariDewiana NovitasariAgus PurwantoBenfano SoewitoDhaniel HutagalungYoyok CahyonoFord Lumban Gaol
- Topics
- Blockchain Technology in Education and Learning (21 papers)Information Retrieval and Data Mining (12 papers)Edcuational Technology Systems (11 papers)
- Journals
- Jurnal Informatika Universitas PamulangAIP conference proceedingsInternational Journal of Education and Management Engineering
- Partner nations
- IndonesiaUnited StatesSouth Korea
In The Last Decade
Arman Syah Putra
46 papers receiving 606 citations
Peers
Comparison fields: 5 of 73
- Information Systems 439
- Artificial Intelligence 121
- Education 101
- Management Information Systems 98
- Marketing 95
Countries citing papers authored by Arman Syah Putra
This map shows the geographic impact of Arman Syah Putra'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 Arman Syah Putra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arman Syah Putra more than expected).
Fields of papers citing papers by Arman Syah Putra
This network shows the impact of papers produced by Arman Syah Putra. 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 Arman Syah Putra. The network helps show where Arman Syah Putra may publish in the future.
Co-authorship network of co-authors of Arman Syah Putra
This figure shows the co-authorship network connecting the top 25 collaborators of Arman Syah Putra. A scholar is included among the top collaborators of Arman Syah Putra 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 Arman Syah Putra. Arman Syah Putra is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 15 | |
| 4 | 16 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | PERBANDINGAN EFEKTIVITAS SISTEM PEMBELAJARAN ONLINE DAN OFFLINE DI ERA NEW NORMAL | 6 |
| 10 | 10 | |
| 11 | 17 | |
| 12 | 7 | |
| 13 | 4 | |
| 14 | 22 | |
| 15 | 22 | |
| 16 | 1 | |
| 17 | 30 | |
| 18 | Teknologi Informasi (IT) Sebagai Alat Syiar Budaya Islam Di Bumi Nusantara Indonesia | 18 |
| 19 | 31 | |
| 20 | 49 |
About Arman Syah Putra
Arman Syah Putra is a scholar working on Information Systems, Management Information Systems and Demography, having authored 54 papers that have together received 689 indexed citations. Recurring topics across this work include Blockchain Technology in Education and Learning (21 papers), Information Retrieval and Data Mining (12 papers) and Edcuational Technology Systems (11 papers). The work is most often cited by research in Information Systems (439 citations), Management Information Systems (98 citations) and Marketing (95 citations). Arman Syah Putra has collaborated with scholars based in Indonesia, United States and South Korea. Frequent co-authors include Harco Leslie Hendric Spits Warnars, Masduki Asbari, Dewiana Novitasari, Agus Purwanto, Benfano Soewito, Dhaniel Hutagalung, Yoyok Cahyono, Ford Lumban Gaol, Edi Abdurachman and Faisal Muhammad. Their work appears in journals such as Jurnal Informatika Universitas Pamulang, AIP conference proceedings and International Journal of Education and Management Engineering.
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.