Kelly Rossa Sungkono

56 papers and 249 indexed citations i.

About

Kelly Rossa Sungkono is a scholar working on Information Systems, Management Information Systems and Artificial Intelligence. According to data from OpenAlex, Kelly Rossa Sungkono has authored 56 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Information Systems, 28 papers in Management Information Systems and 15 papers in Artificial Intelligence. Recurrent topics in Kelly Rossa Sungkono’s work include Business Process Modeling and Analysis (26 papers), QoS-Aware Web Services Composition and Semantic Matching (16 papers) and Management and Optimization Techniques (6 papers). Kelly Rossa Sungkono is often cited by papers focused on Business Process Modeling and Analysis (26 papers), QoS-Aware Web Services Composition and Semantic Matching (16 papers) and Management and Optimization Techniques (6 papers). Kelly Rossa Sungkono collaborates with scholars based in Indonesia, United States and Japan. Kelly Rossa Sungkono's co-authors include Riyanarto Sarno, Dwi Sunaryono, Shoffi Izza Sabilla, Chastine Fatichah, Damayanti Tinduh, Cita Rosita Sigit Prakoeswa, Sozo Inoue, Abdul Munif, Shintami Chusnul Hidayati and Kuwat Triyana and has published in prestigious journals such as IEEE Access, Journal Of Big Data and Sensing and Bio-Sensing Research.

In The Last Decade

Co-authorship network of co-authors of Kelly Rossa Sungkono i

Fields of papers citing papers by Kelly Rossa Sungkono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kelly Rossa Sungkono. 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 Kelly Rossa Sungkono. The network helps show where Kelly Rossa Sungkono may publish in the future.

Countries citing papers authored by Kelly Rossa Sungkono

Since Specialization
Citations

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