Edy Irwansyah
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition top 10%
- Health Information Management top 2%
- Radiology, Nuclear Medicine and Imaging
- Information Systems top 10%
- Co-authors
- Eka MirandaAlexander Agung Santoso GunawanWidodo BudihartoJarot S. SurosoAndry ChowandaSri HartatiYaya HeryadiEdi Winarko
- Topics
- Oil Palm Production and Sustainability (8 papers)Data Mining and Machine Learning Applications (7 papers)Remote Sensing and LiDAR Applications (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal Of Big DataInternational Journal of Computational Intelligence Systems
- Partner nations
- IndonesiaSouth KoreaThailand
In The Last Decade
Edy Irwansyah
65 papers receiving 452 citations
Peers
Comparison fields: 5 of 118
- Artificial Intelligence 148
- Computer Vision and Pattern Recognition 86
- Health Information Management 78
- Radiology, Nuclear Medicine and Imaging 59
- Information Systems 47
Countries citing papers authored by Edy Irwansyah
This map shows the geographic impact of Edy Irwansyah'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 Edy Irwansyah with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edy Irwansyah more than expected).
Fields of papers citing papers by Edy Irwansyah
This network shows the impact of papers produced by Edy Irwansyah. 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 Edy Irwansyah. The network helps show where Edy Irwansyah may publish in the future.
Co-authorship network of co-authors of Edy Irwansyah
This figure shows the co-authorship network connecting the top 25 collaborators of Edy Irwansyah. A scholar is included among the top collaborators of Edy Irwansyah 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 Edy Irwansyah. Edy Irwansyah is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 2 | |
| 9 | 0 | |
| 10 | 0 | |
| 11 | 0 | |
| 12 | 2 | |
| 13 | IMPLEMENTATION OF WEMOS D1 FOR WI-FI BASED CONTROLLER TANK-BASED MILITARY ROBOT | 1 |
| 14 | 9 | |
| 15 | 1 | |
| 16 | 9 | |
| 17 | Does Efficient Fuzzy Kohonen Clustering Network Algorithm Really Improves Clustering Data Result | 1 |
| 18 | ZONASI DAERAH BAHAYA KEGEMPAAN DENGAN PENDEKATAN PEAK GROUND ACCELERATION (PGA) | 3 |
| 19 | Zonasi Daerah Bahaya Kerusakan Bangunan Akibat Gempa Menggunakan Algoritma Som dan Algoritma Kriging | 1 |
| 20 | 4 |
About Edy Irwansyah
Edy Irwansyah is a scholar working on Geology, Media Technology and Computer Vision and Pattern Recognition, having authored 84 papers that have together received 477 indexed citations. Recurring topics across this work include Oil Palm Production and Sustainability (8 papers), Data Mining and Machine Learning Applications (7 papers) and Remote Sensing and LiDAR Applications (7 papers). The work is most often cited by research in Health Information Management (78 citations), Health Informatics (12 citations) and Artificial Intelligence (148 citations). Edy Irwansyah has collaborated with scholars based in Indonesia, South Korea and Thailand. Frequent co-authors include Eka Miranda, Alexander Agung Santoso Gunawan, Widodo Budiharto, Jarot S. Suroso, Andry Chowanda, Sri Hartati, Yaya Heryadi, Edi Winarko, Bayu Kanigoro and Hartono Hartono. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal Of Big Data and International Journal of Computational Intelligence Systems.
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.