Jacub Pandelaki

93 total papers · 500 total citations
55 papers, 321 citations indexed

About

Jacub Pandelaki is a scholar working on Artificial Intelligence, Surgery and Health Information Management. According to data from OpenAlex, Jacub Pandelaki has authored 55 papers receiving a total of 321 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, Canada and Denmark. Jacub Pandelaki's co-authors include Zuherman Rustam, Rahmat Hidayat, Isabella Kurnia Liem, Jeanne Adiwinata Pawitan, Ismail Hadisoebroto Dilogo, Rini Sekartini, Kristiana Siste, Martina Wiwie Setiawan Nasrun, Tjhin Wiguna and Belinda Julivia Murtani and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Psychiatry Research.

In The Last Decade

Jacub Pandelaki

45 papers receiving 311 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jacub Pandelaki 73 52 45 42 38 55 321
Chukwuyem Ekhator 18 0.2× 15 0.3× 9 0.2× 22 0.5× 14 0.4× 48 276
S. Vijayalakshmi 44 0.6× 7 0.1× 18 0.4× 16 0.4× 36 0.9× 100 316
D. Teather 64 0.9× 9 0.2× 10 0.2× 40 1.0× 6 0.2× 27 307
Yeşim Eroğlu 122 1.7× 6 0.1× 69 1.5× 128 3.0× 6 0.2× 22 336
Agnieszka Wosiak 79 1.1× 37 0.7× 9 0.2× 17 0.4× 7 0.2× 46 324
Hassan A. Alshamrani 64 0.9× 12 0.2× 108 2.4× 58 1.4× 3 0.1× 28 240
Sharifa Khalid Alduraibi 91 1.2× 6 0.1× 52 1.2× 116 2.8× 5 0.1× 39 298
Ziwen Wang 26 0.4× 6 0.1× 10 0.2× 24 0.6× 3 0.1× 36 332
Lilik Anifah 38 0.5× 14 0.3× 7 0.2× 49 1.2× 69 266
Ajay Hegde 34 0.5× 7 0.1× 73 1.6× 52 1.2× 7 0.2× 55 365

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).

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.

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

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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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