Ajib Susanto

46 papers and 136 indexed citations i.

About

Ajib Susanto is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ajib Susanto has authored 46 papers receiving a total of 136 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Information Systems, 22 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ajib Susanto’s work include Data Mining and Machine Learning Applications (11 papers), Computer Science and Engineering (11 papers) and Multimedia Learning Systems (10 papers). Ajib Susanto is often cited by papers focused on Data Mining and Machine Learning Applications (11 papers), Computer Science and Engineering (11 papers) and Multimedia Learning Systems (10 papers). Ajib Susanto collaborates with scholars based in Indonesia, Malaysia and United States. Ajib Susanto's co-authors include Christy Atika Sari, De Rosal Ignatius Moses Setiadi, Eko Hari Rachmawanto, Guruh Fajar Shidik, Md Kamruzzaman Sarker, Arnold Adimabua Ojugo, Hong‐Seng Gan and Muljono Muljono and has published in prestigious journals such as Computers, Journal of Physics Conference Series and TELKOMNIKA (Telecommunication Computing Electronics and Control).

In The Last Decade

Co-authorship network of co-authors of Ajib Susanto i

Fields of papers citing papers by Ajib Susanto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ajib Susanto. 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 Ajib Susanto. The network helps show where Ajib Susanto may publish in the future.

Countries citing papers authored by Ajib Susanto

Since Specialization
Citations

This map shows the geographic impact of Ajib Susanto'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 Ajib Susanto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ajib Susanto 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