Hikmat Permana

80 total papers · 786 total citations
39 papers, 339 citations indexed

About

Hikmat Permana is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases and Epidemiology. According to data from OpenAlex, Hikmat Permana has authored 39 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Infectious Diseases and 9 papers in Epidemiology. Recurrent topics in Hikmat Permana's work include COVID-19 Clinical Research Studies (10 papers), Diabetes Treatment and Management (10 papers) and Diabetes and associated disorders (6 papers). Hikmat Permana is often cited by papers focused on COVID-19 Clinical Research Studies (10 papers), Diabetes Treatment and Management (10 papers) and Diabetes and associated disorders (6 papers). Hikmat Permana collaborates with scholars based in Indonesia, New Zealand and United Kingdom. Hikmat Permana's co-authors include Nanny Natalia Mulyani Soetedjo, Ian Huang, Rudi Supriyadi, Timotius Ivan Hariyanto, Antonia Anna Lukito, Michael Anthonius Lim, Raymond Pranata, Sherly Lawrensia, Arto Yuwono Soeroto and Rudi Wisaksana and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Transactions of the Royal Society of Tropical Medicine and Hygiene.

In The Last Decade

Hikmat Permana

33 papers receiving 326 citations

Author Peers

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

Author						Papers	Cites
Hikmat Permana	204	79	66	66	54	39	339
Patrícia Médici Dualib	158 0.8×	65 0.8×	74 1.1×	36 0.5×	41 0.8×	23	350
Vishwanath Pattan	70 0.3×	90 1.1×	39 0.6×	48 0.7×	48 0.9×	32	298
Matthias Hepprich	114 0.6×	79 1.0×	63 1.0×	45 0.7×	70 1.3×	23	319
Akshay Khatri	204 1.0×	59 0.7×	44 0.7×	75 1.1×	28 0.5×	26	351
Sudhir Bhandari	171 0.8×	46 0.6×	68 1.0×	30 0.5×	40 0.7×	46	351
Nasser Malekpour Alamdari	136 0.7×	54 0.7×	64 1.0×	36 0.5×	81 1.5×	35	371
Qi Li	91 0.4×	150 1.9×	41 0.6×	121 1.8×	64 1.2×	27	384
Nishanth Dev	78 0.4×	31 0.4×	37 0.6×	73 1.1×	35 0.6×	31	295
Virgílio Gonçalves Pereira	52 0.3×	69 0.9×	38 0.6×	67 1.0×	64 1.2×	24	319
Dipen Kadaria	96 0.5×	31 0.4×	42 0.6×	67 1.0×	91 1.7×	32	321

Countries citing papers authored by Hikmat Permana

Since Specialization

Citations

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

Fields of papers citing papers by Hikmat Permana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hikmat Permana

This figure shows the co-authorship network connecting the top 25 collaborators of Hikmat Permana. A scholar is included among the top collaborators of Hikmat Permana 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 Hikmat Permana. Hikmat Permana 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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