Dhendra Marutho
Impact in
- Information Systems top 10%
- Data Mining and Machine Learning Applications
- Multimedia Learning Systems
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- Edcuational Technology Systems
- Sentiment Analysis and Opinion Mining
- Anomaly Detection Techniques and Applications
- Advanced Clustering Algorithms Research
- Advanced Text Analysis Techniques
Papers in
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- Edcuational Technology Systems 4
- Sentiment Analysis and Opinion Mining 2
- Advanced Text Analysis Techniques 2
- Computer Science and Engineering 2
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- Multimedia Learning Systems 3
- Data Mining and Machine Learning Applications 3
- Spam and Phishing Detection 1
- Co-authors
- Muljono Muljono (5 shared papers)Purwanto Purwanto (2 shared papers)Supriadi Rustad (2 shared papers)De Rosal Ignatius Moses Setiadi (1 shared paper)Omar Farooq (1 shared paper)
- Journals
- Journal of Open Innovation Technology Market and Complexity (1 paper)IAES International Journal of Artificial Intelligence (1 paper)
- Partner nations
- Indonesia
In The Last Decade
Dhendra Marutho
8 papers receiving 225 citations
Peers
Comparison fields: 5 of 103
- Information Systems 53
- Artificial Intelligence 62
- Marketing 17
- Computer Science Applications 8
- Tourism, Leisure and Hospitality Management 2
Countries citing papers authored by Dhendra Marutho
This map shows the geographic impact of Dhendra Marutho'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 Dhendra Marutho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dhendra Marutho more than expected).
Fields of papers citing papers by Dhendra Marutho
This network shows the impact of papers produced by Dhendra Marutho. 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 Dhendra Marutho. The network helps show where Dhendra Marutho may publish in the future.
Co-authors
The 5 scholars most cited alongside Dhendra Marutho, 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 | 2018 | 196 | |
| 2 | 2024 | 10 | |
| 3 | 2024 | 6 | |
| 4 | 2018 | 6 | |
| 5 | 2019 | 5 | |
| 6 | 2022 | 5 | |
| 7 | 2020 | 4 | |
| 8 | 2019 | 1 | |
| 9 | 2020 | 0 | |
| 10 | 2025 | 0 | |
| 11 | 2024 | 0 | |
| 12 | 2024 | 0 | |
| 13 | 2021 | 0 |
About Dhendra Marutho
Dhendra Marutho is a scholar working on Artificial Intelligence, Information Systems, Strategy and Management, Management Information Systems and Sociology and Political Science, having authored 13 papers that have together received 233 indexed citations. Recurring topics across this work include Edcuational Technology Systems (4 papers), Multimedia Learning Systems (3 papers), Data Mining and Machine Learning Applications (3 papers), Sentiment Analysis and Opinion Mining (2 papers), Advanced Text Analysis Techniques (2 papers), Computer Science and Engineering (2 papers), Hand Gesture Recognition Systems (1 paper) and Spam and Phishing Detection (1 paper). The work is most often cited by research in Information Systems (53 citations), Artificial Intelligence (62 citations), Marketing (17 citations), Computer Science Applications (8 citations) and Tourism, Leisure and Hospitality Management (2 citations). Dhendra Marutho has collaborated with scholars based in Indonesia. Frequent co-authors include Muljono Muljono, Purwanto Purwanto, Supriadi Rustad, De Rosal Ignatius Moses Setiadi and Omar Farooq. Their work appears in journals such as Journal of Open Innovation Technology Market and Complexity and IAES International Journal of Artificial Intelligence.
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.