Jacub Pandelaki
- Artificial Intelligence
- Health Information Management top 5%
- Neurology
- Radiology, Nuclear Medicine and Imaging
- Genetics
- Co-authors
- Zuherman RustamIsmail Hadisoebroto DilogoRahmat HidayatIsabella Kurnia LiemJeanne Adiwinata PawitanBelinda Julivia MurtaniMartina Wiwie Setiawan NasrunRini Sekartini
- Topics
- Artificial Intelligence in Healthcare (10 papers)Data Mining and Machine Learning Applications (9 papers)Osteoarthritis Treatment and Mechanisms (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEPsychiatry Research
In The Last Decade
Jacub Pandelaki
46 papers receiving 315 citations
Peers
Comparison fields: 5 of 111
- Artificial Intelligence 73
- Health Information Management 52
- Neurology 45
- Radiology, Nuclear Medicine and Imaging 42
- Genetics 38
Countries citing papers authored by Jacub Pandelaki
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).
Fields of papers citing papers by Jacub Pandelaki
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.
Co-authorship network of co-authors of Jacub Pandelaki
This figure shows the co-authorship network connecting the top 25 collaborators of Jacub Pandelaki. A scholar is included among the top collaborators of Jacub Pandelaki based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jacub Pandelaki. Jacub Pandelaki is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 0 | |
| 8 | 3 | |
| 9 | 8 | |
| 10 | 8 | |
| 11 | 27 | |
| 12 | 0 | |
| 13 | 4 | |
| 14 | The Effect of Hyperfiltration on Kidney Function in Living Donor Kidney Transplantation: A Prospective Cohort Study. | 1 |
| 15 | 1 | |
| 16 | 39 | |
| 17 | 1 | |
| 18 | 0 | |
| 19 | 4 | |
| 20 | 2 |
About Jacub Pandelaki
Jacub Pandelaki is a scholar working on Health Information Management, Periodontics and Otorhinolaryngology, having authored 56 papers that have together received 325 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (10 papers), Data Mining and Machine Learning Applications (9 papers) and Osteoarthritis Treatment and Mechanisms (6 papers). The work is most often cited by research in Health Information Management (52 citations), Neurology (45 citations) and Urology (24 citations). Jacub Pandelaki has collaborated with scholars based in Indonesia, Canada and Malaysia. Frequent co-authors include Zuherman Rustam, Ismail Hadisoebroto Dilogo, Rahmat Hidayat, Isabella Kurnia Liem, Jeanne Adiwinata Pawitan, Belinda Julivia Murtani, Martina Wiwie Setiawan Nasrun, Rini Sekartini, Saptawati Bardosono and Kristiana Siste. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychiatry Research.
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.