Deshinta Arrova Dewi
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- Online Learning and Analytics 2
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- Topic Modeling 3
- Natural Language Processing Techniques 3
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- IoT and GPS-based Vehicle Safety Systems 3
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- Data Mining and Machine Learning Applications 3
- Multimedia Learning Systems 2
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- Customer churn and segmentation 2
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- IoT and Edge/Fog Computing 2
- Co-authors
- Saleh AlbahliMuhammad IslamShabana HabibWaleed AlbattahMohammed F. AlsharekhTri Basuki KurniawanHabibollah DadgarMalathy Batumalay
- Cited by
- Computer Science ApplicationsArtificial IntelligenceComputer Vision and Pattern Recognition
- Journals
- SHILAP Revista de lepidopterología (4 papers)Scientific Reports (1 paper)IEEE Access (3 papers)
In The Last Decade
Deshinta Arrova Dewi
41 papers receiving 238 citations
Peers
Comparison fields: 5 of 86
- Computer Science Applications 14
- Artificial Intelligence 59
- Computer Vision and Pattern Recognition 35
- Building and Construction 23
- Neurology 12
Countries citing papers authored by Deshinta Arrova Dewi
This map shows the geographic impact of Deshinta Arrova Dewi'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 Deshinta Arrova Dewi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deshinta Arrova Dewi more than expected).
Fields of papers citing papers by Deshinta Arrova Dewi
This network shows the impact of papers produced by Deshinta Arrova Dewi. 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 Deshinta Arrova Dewi. The network helps show where Deshinta Arrova Dewi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deshinta Arrova Dewi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 5 | |
| 5 | 2024 | 4 | |
| 6 | 2024 | 9 | |
| 7 | 2024 | 0 | |
| 8 | 2024 | 31 | |
| 9 | 2024 | 0 | |
| 10 | 2024 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2024 | 0 | |
| 13 | 2024 | 0 | |
| 14 | 2023 | 2 | |
| 15 | 2023 | 0 | |
| 16 | 2023 | 20 | |
| 17 | 2023 | 1 | |
| 18 | 2022 | 48 | |
| 19 | 2022 | 25 | |
| 20 | 2022 | 1 |
About Deshinta Arrova Dewi
Deshinta Arrova Dewi is a scholar working on Computer Science Applications, Tourism, Leisure and Hospitality Management and Computer Vision and Pattern Recognition, having authored 58 papers that have together received 254 indexed citations. Recurring topics across this work include IoT and GPS-based Vehicle Safety Systems (3 papers), Topic Modeling (3 papers), Data Mining and Machine Learning Applications (3 papers), Natural Language Processing Techniques (3 papers), Online Learning and Analytics (2 papers), Multimedia Learning Systems (2 papers), Customer churn and segmentation (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Computer Science Applications (14 citations), Artificial Intelligence (59 citations) and Computer Vision and Pattern Recognition (35 citations). Deshinta Arrova Dewi has collaborated with scholars based in Malaysia, Indonesia and China. Frequent co-authors include Saleh Albahli, Muhammad Islam, Shabana Habib, Waleed Albattah, Mohammed F. Alsharekh, Tri Basuki Kurniawan, Habibollah Dadgar, Malathy Batumalay, Tarik A. Rashid and Fathoni Usman. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.
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.