Kahlil Muchtar

945 total citations
64 papers, 594 citations indexed

About

Kahlil Muchtar is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Kahlil Muchtar has authored 64 papers receiving a total of 594 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Computer Vision and Pattern Recognition, 15 papers in Artificial Intelligence and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Kahlil Muchtar's work include Video Surveillance and Tracking Methods (20 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Advanced Neural Network Applications (7 papers). Kahlil Muchtar is often cited by papers focused on Video Surveillance and Tracking Methods (20 papers), Advanced Image and Video Retrieval Techniques (13 papers) and Advanced Neural Network Applications (7 papers). Kahlil Muchtar collaborates with scholars based in Indonesia, Taiwan and Malaysia. Kahlil Muchtar's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Industrial Electronics and IEEE Access.

In The Last Decade

Kahlil Muchtar

49 papers receiving 565 citations

Peers

Kahlil Muchtar
Kelson Aires Brazil
Rodrigo Veras Brazil
Jiajia Li China
Necaattin Barışçı Türkiye
Eman M. El-Gendy Egypt
Md. Nahiduzzaman Bangladesh
Nouf Abdullah Almujally Saudi Arabia
Ruwan Tennakoon Australia
Bayan Alabduallah Saudi Arabia
Zhengming Chen China
Kelson Aires Brazil
Kahlil Muchtar
Citations per year, relative to Kahlil Muchtar Kahlil Muchtar (= 1×) peers Kelson Aires

Countries citing papers authored by Kahlil Muchtar

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Kahlil Muchtar

This figure shows the co-authorship network connecting the top 25 collaborators of Kahlil Muchtar. A scholar is included among the top collaborators of Kahlil Muchtar 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 Kahlil Muchtar. Kahlil Muchtar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Muchtar, Kahlil, et al.. (2025). Edge AI-Based Detection for Defective Coffee Beans Using Deep Learning and Streamlit Framework. IEEE Access. 13. 67977–67992.
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Muchtar, Kahlil, et al.. (2025). Reliability Improvement of 28 nm Intel FPGA Ring Oscillator PUF for Chip Identification. Cryptography. 9(2). 36–36.
4.
Muchtar, Kahlil, et al.. (2024). Hybrid Models for Emotion Classification and Sentiment Analysis in Indonesian Language. Applied Computational Intelligence and Soft Computing. 2024(1). 2 indexed citations
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Muchtar, Kahlil, et al.. (2023). Impact of Image Enhancement for Osteoporosis Detection Based on Deep Learning Algorithm. 244–249. 1 indexed citations
8.
Arnia, Fitri, et al.. (2023). Improved Classification of Handwritten Jawi Script Based on Main Part of Script Body. SHILAP Revista de lepidopterología. 7(1). 94–104. 1 indexed citations
9.
Muchtar, Kahlil, et al.. (2023). Transformer-Based Indonesian Language Model for Emotion Classification and Sentiment Analysis. 209–214. 2 indexed citations
10.
Lin, Chih‐Yang, et al.. (2023). Moving Object Detection for Complex Scenes by Merging BG Modeling and Deep Learning Method. Journal of Artificial Intelligence and Soft Computing Research. 13(3). 151–163. 1 indexed citations
11.
Muchtar, Kahlil, et al.. (2023). Comparative analysis of deep learning models for detecting face mask. Procedia Computer Science. 216. 48–56. 6 indexed citations
12.
Munadi, Khairul, Khairun Saddami, Kahlil Muchtar, et al.. (2022). A Deep Learning Method for Early Detection of Diabetic Foot Using Decision Fusion and Thermal Images. Applied Sciences. 12(15). 7524–7524. 35 indexed citations
13.
Muchtar, Kahlil, et al.. (2022). Moving Pedestrian Localization and Detection With Guided Filtering. IEEE Access. 10. 89181–89196. 3 indexed citations
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Lin, Chih‐Yang, et al.. (2019). High Efficient Single-stage Steel Surface Defect Detection. 1–4. 20 indexed citations
16.
Saddami, Khairun, et al.. (2019). Perbandingan Kinerja Support Vector Machine (SVM) Dalam Mengenali Wajah Menggunakan SURF DAN GLCM. SHILAP Revista de lepidopterología. 8(2). 65–65. 1 indexed citations
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Lin, Chih‐Yang, et al.. (2017). A DPM based object detector using HOG-LBP features. 315–316. 6 indexed citations
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Lin, Chih‐Yang, Kahlil Muchtar, & Chia‐Hung Yeh. (2016). Robust techniques for abandoned and removed object detection based on Markov random field. Journal of Visual Communication and Image Representation. 39. 181–195. 5 indexed citations
19.
Lin, Chih‐Yang, et al.. (2013). Left-object detection through background modeling. International journal of innovative computing, information & control. 9(4). 1373–1388. 4 indexed citations
20.
Muchtar, Kahlil, et al.. (2012). Background subtraction by modeling pixel and neighborhood information. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–5. 1 indexed citations

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.

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