Carmadi Machbub
Impact in
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- Video Surveillance and Tracking Methods
- Robotic Path Planning Algorithms
- Face recognition and analysis
- Face and Expression Recognition
- Human-Computer Interaction top 10%
- Hand Gesture Recognition Systems
Papers in
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- Video Surveillance and Tracking Methods 16
- Face recognition and analysis 6
- Face and Expression Recognition 6
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- Hand Gesture Recognition Systems 8
- Co-authors
- Riyanto RiyantoArief Syaichu RohmanHanif FakhrurrojaAry Setijadi PrihatmantoAgus PurwadiEstiko RijantoAyu PurwariantiMartin Martin
In The Last Decade
Carmadi Machbub
77 papers receiving 377 citations
Peers
Comparison fields: 5 of 67
- Computer Vision and Pattern Recognition 167
- Human-Computer Interaction 44
- Automotive Engineering 54
- Control and Systems Engineering 81
- Safety, Risk, Reliability and Quality 28
Countries citing papers authored by Carmadi Machbub
This map shows the geographic impact of Carmadi Machbub'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 Carmadi Machbub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carmadi Machbub more than expected).
Fields of papers citing papers by Carmadi Machbub
This network shows the impact of papers produced by Carmadi Machbub. 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 Carmadi Machbub. The network helps show where Carmadi Machbub may publish in the future.
Co-authors
The 25 scholars most cited alongside Carmadi Machbub, 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 | 2023 | 6 | |
| 2 | 2023 | 8 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 1 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 4 | |
| 7 | 2020 | 25 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 2 | |
| 10 | 2019 | 7 | |
| 11 | 2019 | 9 | |
| 12 | 2018 | 7 | |
| 13 | 2018 | 6 | |
| 14 | 2018 | 1 | |
| 15 | 2018 | 3 | |
| 16 | 2017 | 12 | |
| 17 | 2017 | 4 | |
| 18 | 2016 | 6 | |
| 19 | 2011 | 1 | |
| 20 | First step toward Internet based embedded control system | 2004 | 8 |
About Carmadi Machbub
Carmadi Machbub is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction, Signal Processing, Control and Systems Engineering and Artificial Intelligence, having authored 82 papers that have together received 407 indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (16 papers), Hand Gesture Recognition Systems (8 papers), Electric and Hybrid Vehicle Technologies (7 papers), Electric Vehicles and Infrastructure (6 papers), Face recognition and analysis (6 papers), Robotics and Automated Systems (6 papers), Face and Expression Recognition (6 papers) and Fire Detection and Safety Systems (6 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (167 citations), Human-Computer Interaction (44 citations), Automotive Engineering (54 citations), Control and Systems Engineering (81 citations) and Safety, Risk, Reliability and Quality (28 citations). Carmadi Machbub has collaborated with scholars based in Indonesia, Sri Lanka and China. Frequent co-authors include Riyanto Riyanto, Arief Syaichu Rohman, Hanif Fakhrurroja, Ary Setijadi Prihatmanto, Agus Purwadi, Estiko Rijanto, Ayu Purwarianti, Martin Martin, Sri Widiyantoro and Trio Adiono. Their work appears in journals such as IEEE Access, Heliyon, Intelligent Systems with Applications, Applied Sciences and Journal Of Big Data.
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.