Rudy Hartanto
- Signal Processing top 2%
- Human-Computer Interaction top 5%
- Gaze Tracking and Assistive Technology 10
- Hand Gesture Recognition Systems 7
- Artificial Intelligence top 5%
- Computer Science and Engineering 7
- Edcuational Technology Systems 6
- Software top 10%
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- EEG and Brain-Computer Interfaces 8
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- Blockchain Technology in Education and Learning 8
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- Face recognition and analysis 7
- Face and Expression Recognition 6
- Co-authors
- Paulus Insap SantosaYan Naung SoeKouichi SakuraiYaokai FengHanung Adi NugrohoInung WijayantoRidi FerdianaRisanuri Hidayat
- Journals
- SHILAP Revista de lepidopterología (4 papers)IEEE Access (2 papers)Sensors (1 paper)
- Partner nations
- IndonesiaJapanSaudi Arabia
In The Last Decade
Rudy Hartanto
78 papers receiving 771 citations
Peers
Comparison fields: 5 of 98
- Signal Processing 270
- Human-Computer Interaction 84
- Computer Networks and Communications 327
- Artificial Intelligence 328
- Software 29
Countries citing papers authored by Rudy Hartanto
This map shows the geographic impact of Rudy Hartanto'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 Rudy Hartanto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rudy Hartanto more than expected).
Fields of papers citing papers by Rudy Hartanto
This network shows the impact of papers produced by Rudy Hartanto. 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 Rudy Hartanto. The network helps show where Rudy Hartanto may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rudy Hartanto, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 2 | |
| 12 | 2022 | 2 | |
| 13 | 2022 | 3 | |
| 14 | 2022 | 0 | |
| 15 | 2020 | 15 | |
| 16 | Rule Generation for Signature Based Detection Systems of Cyber Attacks in IoT Environments | 2019 | 27 |
| 17 | 2019 | 13 | |
| 18 | 2017 | 2 | |
| 19 | Penyusunan Tata Kelola Keamanan Informasi pada Produksi Film Animasi (Kasus di PT. XX) | 2017 | 1 |
| 20 | PENGUJIAN DAN EVALUASI BUKU INTERAKTIF AUGMENTED REALITY ARca 3D | 2014 | 6 |
About Rudy Hartanto
Rudy Hartanto is a scholar working on Human-Computer Interaction, Signal Processing and Information Systems, having authored 96 papers that have together received 832 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (10 papers), EEG and Brain-Computer Interfaces (8 papers), Blockchain Technology in Education and Learning (8 papers), Face recognition and analysis (7 papers), Computer Science and Engineering (7 papers), Hand Gesture Recognition Systems (7 papers), Face and Expression Recognition (6 papers) and Edcuational Technology Systems (6 papers). The work is most often cited by research in Signal Processing (270 citations), Human-Computer Interaction (84 citations) and Computer Networks and Communications (327 citations). Rudy Hartanto has collaborated with scholars based in Indonesia, Japan and Saudi Arabia. Frequent co-authors include Paulus Insap Santosa, Yan Naung Soe, Kouichi Sakurai, Yaokai Feng, Hanung Adi Nugroho, Inung Wijayanto, Ridi Ferdiana, Risanuri Hidayat, Adhistya Erna Permanasari and Adhi Susanto. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.