Kahlil Muchtar
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- Video Surveillance and Tracking Methods 20
- Advanced Image and Video Retrieval Techniques 13
- Advanced Neural Network Applications 7
- Image Enhancement Techniques 6
- Digital Imaging for Blood Diseases 4
- Face recognition and analysis 4
- Media Technology top 5%
- Artificial Intelligence top 10%
- Anomaly Detection Techniques and Applications 5
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- Smart Agriculture and AI 6
- Co-authors
- Chih‐Yang LinKhairul MunadiChia‐Hung YehBiswajeet PradhanNasaruddin NasaruddinBens PardameanLi‐Wei KangGregorius Natanael Elwirehardja
- Cited by
- Computer Vision and Pattern RecognitionHealth Information ManagementRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterología (4 papers)IEEE Transactions on Industrial Electronics (1 paper)IEEE Access (4 papers)
In The Last Decade
Kahlil Muchtar
49 papers receiving 565 citations
Peers
Comparison fields: 5 of 92
- Computer Vision and Pattern Recognition 305
- Health Information Management 48
- Radiology, Nuclear Medicine and Imaging 190
- Media Technology 61
- Artificial Intelligence 131
Countries citing papers authored by Kahlil Muchtar
This map shows the geographic impact of Kahlil Muchtar'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 Kahlil Muchtar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kahlil Muchtar more than expected).
Fields of papers citing papers by Kahlil Muchtar
This network shows the impact of papers produced by Kahlil Muchtar. 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 Kahlil Muchtar. The network helps show where Kahlil Muchtar may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kahlil Muchtar, 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 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 2 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 6 | |
| 12 | 2022 | 35 | |
| 13 | 2022 | 3 | |
| 14 | 2020 | 7 | |
| 15 | 2019 | 20 | |
| 16 | 2019 | 1 | |
| 17 | 2017 | 6 | |
| 18 | 2016 | 5 | |
| 19 | Left-object detection through background modeling | 2013 | 4 |
| 20 | Background subtraction by modeling pixel and neighborhood information | 2012 | 1 |
About Kahlil Muchtar
Kahlil Muchtar is a scholar working on Computer Vision and Pattern Recognition, Media Technology and General Dentistry, having authored 64 papers that have together received 594 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (20 papers), Advanced Image and Video Retrieval Techniques (13 papers), Advanced Neural Network Applications (7 papers), Smart Agriculture and AI (6 papers), Image Enhancement Techniques (6 papers), Anomaly Detection Techniques and Applications (5 papers), Digital Imaging for Blood Diseases (4 papers) and Face recognition and analysis (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (305 citations), Health Information Management (48 citations) and Radiology, Nuclear Medicine and Imaging (190 citations). Kahlil Muchtar has collaborated with scholars based in Indonesia, Taiwan and Malaysia. Frequent co-authors include Chih‐Yang Lin, Khairul Munadi, Chia‐Hung Yeh, Biswajeet Pradhan, Nasaruddin Nasaruddin, Bens Pardamean, Li‐Wei Kang, Gregorius Natanael Elwirehardja, Irfan Syamsuddin and Ming–Ting Sun. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.
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.