Agus Eko Minarno
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Neurology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Fitri BimantoroNanik SuciatiWahyu Andhyka KusumaYufis AzharHanung Adi NugrohoZaidah IbrahimIndah SoesantiNorizan Mat Diah
- Topics
- Image Retrieval and Classification Techniques (25 papers)Computer Science and Engineering (21 papers)Data Mining and Machine Learning Applications (20 papers)
- Journals
- SHILAP Revista de lepidopterologíaData in BriefInternational Journal of Electrical and Computer Engineering (IJECE)
- Partner nations
- IndonesiaMalaysiaUnited Kingdom
In The Last Decade
Agus Eko Minarno
69 papers receiving 470 citations
Peers
Comparison fields: 5 of 74
- Computer Vision and Pattern Recognition 273
- Artificial Intelligence 198
- Information Systems 94
- Neurology 41
- Radiology, Nuclear Medicine and Imaging 35
Countries citing papers authored by Agus Eko Minarno
This map shows the geographic impact of Agus Eko Minarno'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 Agus Eko Minarno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agus Eko Minarno more than expected).
Fields of papers citing papers by Agus Eko Minarno
This network shows the impact of papers produced by Agus Eko Minarno. 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 Agus Eko Minarno. The network helps show where Agus Eko Minarno may publish in the future.
Co-authorship network of co-authors of Agus Eko Minarno
This figure shows the co-authorship network connecting the top 25 collaborators of Agus Eko Minarno. A scholar is included among the top collaborators of Agus Eko Minarno 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 Agus Eko Minarno. Agus Eko Minarno 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 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 2 | |
| 12 | 16 | |
| 13 | 2 | |
| 14 | 2 | |
| 15 | 10 | |
| 16 | 5 | |
| 17 | 11 | |
| 18 | 1 | |
| 19 | 13 | |
| 20 | 7 |
About Agus Eko Minarno
Agus Eko Minarno is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 80 papers that have together received 496 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (25 papers), Computer Science and Engineering (21 papers) and Data Mining and Machine Learning Applications (20 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (273 citations), Artificial Intelligence (198 citations) and Neurology (41 citations). Agus Eko Minarno has collaborated with scholars based in Indonesia, Malaysia and United Kingdom. Frequent co-authors include Fitri Bimantoro, Nanik Suciati, Wahyu Andhyka Kusuma, Yufis Azhar, Hanung Adi Nugroho, Zaidah Ibrahim, Indah Soesanti, Norizan Mat Diah, Aulia Arif Wardana and Deris Stiawan. Their work appears in journals such as SHILAP Revista de lepidopterología, Data in Brief and International Journal of Electrical and Computer Engineering (IJECE).
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.