Eka Miranda
Impact in
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- Artificial Intelligence in Healthcare
Papers in
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- Artificial Intelligence in Healthcare 10
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- Data Mining and Machine Learning Applications 9
- Data Mining Algorithms and Applications 7
- Co-authors
- Edy Irwansyah (5 shared papers)Evaristus Didik Madyatmadja (4 shared papers)Yaya Heryadi (5 shared papers)Achmad Benny Mutiara (3 shared papers)Manuel Muñoz (2 shared papers)Yudi Fernando (3 shared papers)Wahyu Catur Wibowo (2 shared papers)Herlawati Herlawati (3 shared papers)
In The Last Decade
Eka Miranda
40 papers receiving 459 citations
Peers
Comparison fields: 5 of 106
- Health Information Management 96
- Health Informatics 12
- Medical Laboratory Technology 9
- Media Technology 43
- Marketing 43
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 15 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2016 | 80 | |
| 3 | 2018 | 59 | |
| 4 | 2018 | 27 | |
| 5 | 2020 | 23 | |
| 6 | 2019 | 22 | |
| 7 | 2019 | 21 | |
| 8 | 2013 | 21 | |
| 9 | 2021 | 21 | |
| 10 | 2019 | 14 | |
| 11 | 2020 | 11 | |
| 12 | 2023 | 10 | |
| 13 | 2016 | 9 | |
| 14 | 2016 | 8 | |
| 15 | 2021 | 6 | |
| 16 | 2023 | 6 | |
| 17 | 2008 | 6 | |
| 18 | 2015 | 6 | |
| 19 | 2020 | 5 | |
| 20 | 2020 | 5 |
About Eka Miranda
Eka Miranda is a scholar working on Health Information Management, Information Systems, Artificial Intelligence, Management Information Systems and Computer Science Applications, having authored 53 papers that have together received 487 indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (10 papers), Data Mining and Machine Learning Applications (9 papers), Big Data and Business Intelligence (7 papers), Data Mining Algorithms and Applications (7 papers), Edcuational Technology Systems (6 papers), Imbalanced Data Classification Techniques (5 papers), Online Learning and Analytics (5 papers) and Remote Sensing and Land Use (4 papers). The work is most often cited by research in Health Information Management (96 citations), Health Informatics (12 citations), Medical Laboratory Technology (9 citations), Media Technology (43 citations) and Marketing (43 citations). Eka Miranda has collaborated with scholars based in Indonesia, Pakistan and Mexico. Frequent co-authors include Edy Irwansyah, Evaristus Didik Madyatmadja, Yaya Heryadi, Achmad Benny Mutiara, Manuel Muñoz, Yudi Fernando, Wahyu Catur Wibowo, Herlawati Herlawati, Haryono Soeparno and Charles Bernando. Their work appears in journals such as International Journal of Computational Intelligence Systems, Computers and Education Artificial Intelligence, Healthcare Informatics Research, International Journal of Fuzzy Logic and Intelligent Systems and Lecture notes in electrical engineering.
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.