Eka Miranda

92 total papers · 647 total citations
44 papers, 384 citations indexed

About

Eka Miranda is a scholar working on Artificial Intelligence, Information Systems and Health Information Management. According to data from OpenAlex, Eka Miranda has authored 44 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 17 papers in Information Systems and 11 papers in Health Information Management. Recurrent topics in Eka Miranda's work include Artificial Intelligence in Healthcare (11 papers), Data Mining and Machine Learning Applications (9 papers) and Big Data and Business Intelligence (7 papers). Eka Miranda is often cited by papers focused on Artificial Intelligence in Healthcare (11 papers), Data Mining and Machine Learning Applications (9 papers) and Big Data and Business Intelligence (7 papers). Eka Miranda collaborates with scholars based in Indonesia, Pakistan and Mexico. Eka Miranda's co-authors include Edy Irwansyah, Evaristus Didik Madyatmadja, Achmad Benny Mutiara, Manuel Muñoz, Yudi Fernando, Wahyu Catur Wibowo, Yaya Heryadi, Charles Bernando, Herlawati Herlawati and Suko Adiarto and has published in prestigious journals such as SHILAP Revista de lepidopterología, Computers and Education Artificial Intelligence and International Journal of Computational Intelligence Systems.

In The Last Decade

Eka Miranda

34 papers receiving 357 citations

Author Peers

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

Author						Papers	Cites
Eka Miranda	136	78	75	61	39	44	384
Karthikeyan Kaliyaperumal	122 0.9×	35 0.4×	53 0.7×	48 0.8×	40 1.0×	36	422
Sahar A. El Rahman	155 1.1×	19 0.2×	95 1.3×	17 0.3×	89 2.3×	26	396
Pritheega Magalingam	190 1.4×	33 0.4×	139 1.9×	15 0.2×	39 1.0×	36	422
Vinod Kumar	190 1.4×	51 0.7×	56 0.7×	37 0.6×	83 2.1×	45	390
Manoj Jayabalan	181 1.3×	53 0.7×	82 1.1×	19 0.3×	30 0.8×	38	353
Sofianita Mutalib	101 0.7×	35 0.4×	74 1.0×	7 0.1×	71 1.8×	74	406
Ahlam Almusharraf	77 0.6×	17 0.2×	50 0.7×	41 0.7×	32 0.8×	43	360
Kun Lan	117 0.9×	22 0.3×	26 0.3×	77 1.3×	52 1.3×	30	366
Md. Saifur Rahman	138 1.0×	69 0.9×	105 1.4×	29 0.5×	35 0.9×	25	420
Nadhem Nemri	167 1.2×	26 0.3×	72 1.0×	52 0.9×	78 2.0×	49	419

Countries citing papers authored by Eka Miranda

Since Specialization

Citations

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

Fields of papers citing papers by Eka Miranda

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eka Miranda

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