Kahlil Muchtar

945 citations
64 papers · 594 indexed · h-index 12
Topics
Video Surveillance and Tracking Methods (20 papers)Advanced Image and Video Retrieval Techniques (13 papers)Advanced Neural Network Applications (7 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE Transactions on Industrial ElectronicsIEEE Access
Partner nations
IndonesiaTaiwanMalaysia

In The Last Decade

Kahlil Muchtar

49 papers receiving 565 citations

Peers

Kahlil Muchtar
Comparison fields: 5 of 92
  • Computer Vision and Pattern Recognition 305
  • Radiology, Nuclear Medicine and Imaging 190
  • Artificial Intelligence 131
  • Media Technology 61
  • Health Information Management 48
Replace Rodrigo Veras with:
Rodrigo Veras Brazil
Kelson Aires Brazil
Necaattin Barışçı Türkiye
Jiajia Li China
Ruwan Tennakoon Australia
Eman M. El-Gendy Egypt
Nouf Abdullah Almujally Saudi Arabia
Md. Nahiduzzaman Bangladesh
Khaled Alnowaiser Saudi Arabia
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Citations per field
00.5×1.5×
Rodrigo Veras · 1×
Citations per year

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
#WorkIndexed citations
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2 0
3 0
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5 0
6 0
7 1
8 1
9 2
10 1
11 6
12 35
13 3
14 7
15 20
16 1
17 6
18 5
19
Left-object detection through background modeling
4
20
Background subtraction by modeling pixel and neighborhood information
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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) and Advanced Neural Network Applications (7 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.

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