Agus Harjoko
- Artificial Intelligence top 2%
- Information Systems top 1%
- Computer Vision and Pattern Recognition top 2%
- Management Information Systems top 2%
- Radiology, Nuclear Medicine and Imaging top 10%
- Co-authors
- Sri HartatiRetantyo WardoyoSri KusumadewiReza PulunganAnindita SeptiariniSuyanto SuyantoZaenal AbidinErmatita Ermatita
- Topics
- Computer Science and Engineering (73 papers)Data Mining and Machine Learning Applications (38 papers)Edcuational Technology Systems (30 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSpeech Communication
- Partner nations
- IndonesiaAzerbaijanCzechia
In The Last Decade
Agus Harjoko
180 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 141
- Artificial Intelligence 671
- Information Systems 520
- Computer Vision and Pattern Recognition 518
- Management Information Systems 267
- Radiology, Nuclear Medicine and Imaging 139
Countries citing papers authored by Agus Harjoko
This map shows the geographic impact of Agus Harjoko'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 Harjoko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Agus Harjoko more than expected).
Fields of papers citing papers by Agus Harjoko
This network shows the impact of papers produced by Agus Harjoko. 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 Harjoko. The network helps show where Agus Harjoko may publish in the future.
Co-authorship network of co-authors of Agus Harjoko
This figure shows the co-authorship network connecting the top 25 collaborators of Agus Harjoko. A scholar is included among the top collaborators of Agus Harjoko 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 Harjoko. Agus Harjoko 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 | 3 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 25 | |
| 6 | 11 | |
| 7 | 1 | |
| 8 | 0 | |
| 9 | 1 | |
| 10 | 2 | |
| 11 | 0 | |
| 12 | 13 | |
| 13 | 2 | |
| 14 | 12 | |
| 15 | Line Segmentation of Javanese Image of Manuscripts in Javanese Scripts | 2 |
| 16 | 4 | |
| 17 | 1 | |
| 18 | 1 | |
| 19 | 2 | |
| 20 | PENERAPAN JARINGAN SYARAF TIRUAN UNTUK MENDETEKSI POSISI WAJAH MANUSIA PADA CITRA DIGITAL | 7 |
About Agus Harjoko
Agus Harjoko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology, having authored 210 papers that have together received 1.6k indexed citations. Recurring topics across this work include Computer Science and Engineering (73 papers), Data Mining and Machine Learning Applications (38 papers) and Edcuational Technology Systems (30 papers). The work is most often cited by research in Management Information Systems (267 citations), Computer Vision and Pattern Recognition (518 citations) and Information Systems (520 citations). Agus Harjoko has collaborated with scholars based in Indonesia, Azerbaijan and Czechia. Frequent co-authors include Sri Hartati, Retantyo Wardoyo, Sri Kusumadewi, Reza Pulungan, Anindita Septiarini, Suyanto Suyanto, Zaenal Abidin, Ermatita Ermatita, Agfianto Eko Putra and Wahyono Wahyono. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Speech Communication.
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.