Bedy Purnama
- Cognitive Neuroscience
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Reproductive Medicine top 10%
- Molecular Biology
- Co-authors
- Kenji SatouAdiwijaya AdiwijayaMamoru KuboMohammad Reza FaisalFhira NhitaSaid Al FarabyUntari Novia WisestyFavorisen Rosyking Lumbanraja
- Topics
- Computer Science and Engineering (8 papers)Data Mining and Machine Learning Applications (7 papers)Human Pose and Action Recognition (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied SciencesFrontiers in Genetics
In The Last Decade
Bedy Purnama
26 papers receiving 229 citations
Peers
Comparison fields: 5 of 77
- Cognitive Neuroscience 53
- Artificial Intelligence 53
- Computer Vision and Pattern Recognition 50
- Reproductive Medicine 44
- Molecular Biology 29
Countries citing papers authored by Bedy Purnama
This map shows the geographic impact of Bedy Purnama'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 Bedy Purnama with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bedy Purnama more than expected).
Fields of papers citing papers by Bedy Purnama
This network shows the impact of papers produced by Bedy Purnama. 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 Bedy Purnama. The network helps show where Bedy Purnama may publish in the future.
Co-authorship network of co-authors of Bedy Purnama
This figure shows the co-authorship network connecting the top 25 collaborators of Bedy Purnama. A scholar is included among the top collaborators of Bedy Purnama based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Bedy Purnama. Bedy Purnama is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 4 | |
| 5 | 4 | |
| 6 | 0 | |
| 7 | 10 | |
| 8 | 5 | |
| 9 | 0 | |
| 10 | Pengantar Machine Learning | 10 |
| 11 | 11 | |
| 12 | Pengantar Machine Learning: Konsep dan praktikum dengan contoh latihan berbasis R dan PYTHON | 3 |
| 13 | 4 | |
| 14 | 4 | |
| 15 | Klasifikasi Kendaraan Roda Empat Dengan Ekstraksi Ciri Hybrid Berbasis Jaringan Syaraf Tiruan | 1 |
| 16 | 1 | |
| 17 | 17 | |
| 18 | 2 | |
| 19 | Penghitungan Orang dengan Metode Gaussian Mixture Model dan Human Presence Map Studi Kasus: Penghitungan Orang di dalam Kelas | 1 |
| 20 | Klasifikasi Kepadatan Lalu Lintas Berbasis Multitracking Object Dengan Menggunakan Metode Particle Filter | 0 |
About Bedy Purnama
Bedy Purnama is a scholar working on Computer Vision and Pattern Recognition, Health Information Management and Artificial Intelligence, having authored 33 papers that have together received 254 indexed citations. Recurring topics across this work include Computer Science and Engineering (8 papers), Data Mining and Machine Learning Applications (7 papers) and Human Pose and Action Recognition (6 papers). The work is most often cited by research in Reproductive Medicine (44 citations), Cognitive Neuroscience (53 citations) and Computer Vision and Pattern Recognition (50 citations). Bedy Purnama has collaborated with scholars based in Indonesia, Japan and Malaysia. Frequent co-authors include Kenji Satou, Adiwijaya Adiwijaya, Mamoru Kubo, Mohammad Reza Faisal, Fhira Nhita, Said Al Faraby, Untari Novia Wisesty, Favorisen Rosyking Lumbanraja, Widi Astuti and Michael Kah Ong Goh. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Sciences and Frontiers in Genetics.
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.