Bens Pardamean
Impact in
- Developmental Biology top 10%
Papers in
-
- Information Retrieval and Data Mining 11
- Co-authors
- Tjeng Wawan Cenggoro (54 shared papers)Arif Budiarto (43 shared papers)Rezzy Eko Caraka (42 shared papers)Reza Rahutomo (39 shared papers)Alam Ahmad Hidayat (43 shared papers)Teddy Suparyanto (50 shared papers)Anzaludin Samsinga Perbangsa (29 shared papers)Prana Ugiana Gio (25 shared papers)
- Journals
- IEEE Access (10 papers)Sustainability (5 papers)Scientific Reports (3 papers)Journal Of Big Data (3 papers)Symmetry (2 papers)
- Partner nations
- IndonesiaTaiwanUnited States
In The Last Decade
Bens Pardamean
255 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 179
- Computer Science Applications 116
- Developmental Biology 33
- Information Systems 309
- Artificial Intelligence 441
- Health Informatics 16
Countries citing papers authored by Bens Pardamean
This map shows the geographic impact of Bens Pardamean'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 Bens Pardamean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bens Pardamean more than expected).
Fields of papers citing papers by Bens Pardamean
This network shows the impact of papers produced by Bens Pardamean. 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 Bens Pardamean. The network helps show where Bens Pardamean may publish in the future.
Co-authors
The 25 scholars most cited alongside Bens Pardamean, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 304 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 130 | |
| 2 | 2023 | 63 | |
| 3 | 2018 | 56 | |
| 4 | Assessing User Acceptance toward Blog Technology Using the UTAUT Model | 2012 | 53 |
| 5 | 2023 | 48 | |
| 6 | 2021 | 43 | |
| 7 | 2023 | 41 | |
| 8 | 2019 | 40 | |
| 9 | 2012 | 38 | |
| 10 | 2020 | 38 | |
| 11 | 2021 | 37 | |
| 12 | 2019 | 36 | |
| 13 | 2022 | 35 | |
| 14 | 2020 | 33 | |
| 15 | 2017 | 32 | |
| 16 | 2019 | 31 | |
| 17 | 2021 | 30 | |
| 18 | 2021 | 29 | |
| 19 | 2019 | 29 | |
| 20 | 1992 | 28 |
About Bens Pardamean
Bens Pardamean is a scholar working on Artificial Intelligence, Information Systems, Molecular Biology, Plant Science and Computer Vision and Pattern Recognition, having authored 304 papers that have together received 2.5k indexed citations. Recurring topics across this work include Oil Palm Production and Sustainability (15 papers), Technology Adoption and User Behaviour (13 papers), Air Quality Monitoring and Forecasting (12 papers), COVID-19 diagnosis using AI (12 papers), Smart Agriculture and AI (11 papers), Information Retrieval and Data Mining (11 papers), Gene expression and cancer classification (10 papers) and Agricultural and Environmental Management (10 papers). The work is most often cited by research in Computer Science Applications (116 citations), Developmental Biology (33 citations), Information Systems (309 citations), Artificial Intelligence (441 citations) and Health Informatics (16 citations). Bens Pardamean has collaborated with scholars based in Indonesia, Taiwan and United States. Frequent co-authors include Tjeng Wawan Cenggoro, Arif Budiarto, Rezzy Eko Caraka, Reza Rahutomo, Alam Ahmad Hidayat, Teddy Suparyanto, Anzaludin Samsinga Perbangsa, Prana Ugiana Gio, Bharuno Mahesworo and James W. Baurley. Their work appears in journals such as IEEE Access, Sustainability, Scientific Reports, Journal Of Big Data and Symmetry.
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.