Carmadi Machbub

35 papers and 90 indexed citations i.

About

Carmadi Machbub is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering. According to data from OpenAlex, Carmadi Machbub has authored 35 papers receiving a total of 90 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 9 papers in Control and Systems Engineering. Recurrent topics in Carmadi Machbub’s work include Video Surveillance and Tracking Methods (6 papers), Speech and dialogue systems (3 papers) and Robotic Locomotion and Control (3 papers). Carmadi Machbub is often cited by papers focused on Video Surveillance and Tracking Methods (6 papers), Speech and dialogue systems (3 papers) and Robotic Locomotion and Control (3 papers). Carmadi Machbub collaborates with scholars based in Indonesia. Carmadi Machbub's co-authors include Arief Syaichu Rohman, Ary Setijadi Prihatmanto, Hanif Fakhrurroja, Agus Purwadi, Riyanto Riyanto, Ayu Purwarianti, Suhono Harso Supangkat, Riyanto Riyanto, Martin Martin and Widyawardana Adiprawita and has published in prestigious journals such as IEEE Access, Applied Sciences and Heliyon.

In The Last Decade

Co-authorship network of co-authors of Carmadi Machbub i

Fields of papers citing papers by Carmadi Machbub

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Carmadi Machbub

Since Specialization
Citations

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).

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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2025