Rusydi Umar
Impact in
- Information Systems top 2%
- Digital and Cyber Forensics
- Data Mining and Machine Learning Applications
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- Decision Support System Applications
Papers in
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- Digital and Cyber Forensics 33
- Data Mining and Machine Learning Applications 14
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- Decision Support System Applications 25
- Co-authors
- Imam Riadi (52 shared papers)Anton Yudhana (42 shared papers)Abdul Fadlil (21 shared papers)Sunardi Sunardi (10 shared papers)Purwono Purwono (3 shared papers)Eko Handoyo (1 shared paper)Muhammad Aziz (1 shared paper)Arun Agarwal (1 shared paper)
In The Last Decade
Rusydi Umar
144 papers receiving 960 citations
Peers
Comparison fields: 5 of 80
- Information Systems 465
- Management Information Systems 136
- Software 46
- Computer Vision and Pattern Recognition 135
- Human-Computer Interaction 33
Countries citing papers authored by Rusydi Umar
This map shows the geographic impact of Rusydi Umar'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 Rusydi Umar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rusydi Umar more than expected).
Fields of papers citing papers by Rusydi Umar
This network shows the impact of papers produced by Rusydi Umar. 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 Rusydi Umar. The network helps show where Rusydi Umar may publish in the future.
Co-authors
The 17 scholars most cited alongside Rusydi Umar, 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 164 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 67 | |
| 2 | 2020 | 54 | |
| 3 | 2018 | 52 | |
| 4 | 2018 | 36 | |
| 5 | 2017 | 31 | |
| 6 | 2018 | 30 | |
| 7 | 2020 | 25 | |
| 8 | 2022 | 24 | |
| 9 | Pemanfaatan Telegram Sebagai Notifikasi Serangan untuk Keperluan Forensik Jaringan | 2017 | 22 |
| 10 | 2019 | 21 | |
| 11 | 2022 | 21 | |
| 12 | 2018 | 20 | |
| 13 | 2016 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2021 | 17 | |
| 16 | 2019 | 16 | |
| 17 | 2021 | 15 | |
| 18 | 2017 | 14 | |
| 19 | 2019 | 14 | |
| 20 | 2022 | 14 |
About Rusydi Umar
Rusydi Umar is a scholar working on Information Systems, Management Information Systems, Software, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 164 papers that have together received 1k indexed citations. Recurring topics across this work include Digital and Cyber Forensics (33 papers), Decision Support System Applications (25 papers), Engineering and Information Technology (17 papers), Data Mining and Machine Learning Applications (14 papers), Multi-Criteria Decision Making (8 papers), Augmented Reality Applications (6 papers), Network Security and Intrusion Detection (6 papers) and Digital Media Forensic Detection (5 papers). The work is most often cited by research in Information Systems (465 citations), Management Information Systems (136 citations), Software (46 citations), Computer Vision and Pattern Recognition (135 citations) and Human-Computer Interaction (33 citations). Rusydi Umar has collaborated with scholars based in Indonesia, India and Malaysia. Frequent co-authors include Imam Riadi, Anton Yudhana, Abdul Fadlil, Sunardi Sunardi, Purwono Purwono, Eko Handoyo, Muhammad Aziz, Arun Agarwal, Chillarige Raghavendra Rao and Herman Yuliansyah. Their work appears in journals such as International Journal of Engineering, Emerging Science Journal, International Journal of Electrical and Computer Engineering (IJECE), TELKOMNIKA (Telecommunication Computing Electronics and Control) and Journal of Computing Science and 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.