Jacub Pandelaki

53 papers and 260 indexed citations i.

About

Jacub Pandelaki is a scholar working on Artificial Intelligence, Surgery and Health Information Management. According to data from OpenAlex, Jacub Pandelaki has authored 53 papers receiving a total of 260 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Surgery and 10 papers in Health Information Management. Recurrent topics in Jacub Pandelaki’s work include Artificial Intelligence in Healthcare (10 papers), Data Mining and Machine Learning Applications (9 papers) and Osteoarthritis Treatment and Mechanisms (6 papers). Jacub Pandelaki is often cited by papers focused on Artificial Intelligence in Healthcare (10 papers), Data Mining and Machine Learning Applications (9 papers) and Osteoarthritis Treatment and Mechanisms (6 papers). Jacub Pandelaki collaborates with scholars based in Indonesia, Japan and South Korea. Jacub Pandelaki's co-authors include Zuherman Rustam, Ismail Hadisoebroto Dilogo, Jeanne Adiwinata Pawitan, Rahmat Hidayat, Isabella Kurnia Liem, Rini Sekartini, Tjhin Wiguna, Saptawati Bardosono, Christiany Suwartono and Belinda Julivia Murtani and has published in prestigious journals such as PLoS ONE, Medicine and Psychiatry Research.

In The Last Decade

Co-authorship network of co-authors of Jacub Pandelaki i

Fields of papers citing papers by Jacub Pandelaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Jacub Pandelaki

Since Specialization
Citations

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