Eka Miranda
Impact in
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- Artificial Intelligence in Healthcare
- Health Informatics top 10%
Papers in
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- Imbalanced Data Classification Techniques 4
- Edcuational Technology Systems 4
- Machine Learning in Healthcare 4
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- Data Mining and Machine Learning Applications 9
- Data Mining Algorithms and Applications 7
- Co-authors
- Edy Irwansyah (4 shared papers)Evaristus Didik Madyatmadja (4 shared papers)Achmad Benny Mutiara (3 shared papers)Manuel Muñoz (2 shared papers)Yudi Fernando (3 shared papers)Wahyu Catur Wibowo (2 shared papers)Charles Bernando (4 shared papers)Yaya Heryadi (3 shared papers)
In The Last Decade
Eka Miranda
35 papers receiving 365 citations
Peers
Comparison fields: 5 of 108
- Health Information Management 79
- Health Informatics 13
- Artificial Intelligence 137
- Marketing 39
- Medical Laboratory Technology 6
Countries citing papers authored by Eka Miranda
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
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-authors
The 13 scholars most cited alongside Eka Miranda, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 69 | |
| 2 | 2016 | 64 | |
| 3 | 2018 | 50 | |
| 4 | 2018 | 26 | |
| 5 | 2013 | 20 | |
| 6 | 2020 | 19 | |
| 7 | 2019 | 18 | |
| 8 | 2021 | 16 | |
| 9 | 2019 | 13 | |
| 10 | 2020 | 11 | |
| 11 | 2016 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2015 | 6 | |
| 15 | 2008 | 6 | |
| 16 | 2020 | 5 | |
| 17 | 2023 | 4 | |
| 18 | PENERAPAN K-MEANS DAN K-MEDOIDS CLUSTERING PADA DATA INTERNET BANKING DI BANK XYZ | 2018 | 4 |
| 19 | 2021 | 4 | |
| 20 | 2024 | 3 |
About Eka Miranda
Eka Miranda is a scholar working on Artificial Intelligence, Information Systems, Health Information Management, Management Information Systems and Sociology and Political Science, having authored 44 papers that have together received 393 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (11 papers), Data Mining and Machine Learning Applications (9 papers), Big Data and Business Intelligence (7 papers), Data Mining Algorithms and Applications (7 papers), Imbalanced Data Classification Techniques (4 papers), Edcuational Technology Systems (4 papers), Machine Learning in Healthcare (4 papers) and Online Learning and Analytics (3 papers). The work is most often cited by research in Health Information Management (79 citations), Health Informatics (13 citations), Artificial Intelligence (137 citations), Marketing (39 citations) and Medical Laboratory Technology (6 citations). Eka Miranda has collaborated with scholars based in Indonesia, Mexico and Pakistan. Frequent co-authors include Edy Irwansyah, Evaristus Didik Madyatmadja, Achmad Benny Mutiara, Manuel Muñoz, Yudi Fernando, Wahyu Catur Wibowo, Charles Bernando, Yaya Heryadi, Herlawati Herlawati and Suko Adiarto. Their work appears in journals such as International Journal of Computational Intelligence Systems, Computers and Education Artificial Intelligence, International Journal of Fuzzy Logic and Intelligent Systems, Healthcare Informatics Research and SHILAP Revista de lepidopterología.
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.