Hendri Murfi
Impact in
- Artificial Intelligence top 5%
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Topic Modeling
- Text and Document Classification Technologies
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- Artificial Intelligence in Healthcare
Papers in
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- Text and Document Classification Technologies 19
- Advanced Text Analysis Techniques 17
- Sentiment Analysis and Opinion Mining 9
- Topic Modeling 7
- Imbalanced Data Classification Techniques 6
- Computer Science and Engineering 5
- Advanced Clustering Algorithms Research 5
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- Data Mining and Machine Learning Applications 8
- Co-authors
- Kalamullah Ramli (6 shared papers)Yekti Widyaningsih (3 shared papers)Klaus Obermayer (1 shared paper)Alhadi Bustamam (2 shared papers)Kiki Ariyanti Sugeng (2 shared papers)Joseph Ibrahim (1 shared paper)Jonathan D. Stanley (1 shared paper)
In The Last Decade
Hendri Murfi
51 papers receiving 604 citations
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 249
- Health Information Management 32
- Information Systems 122
- Health Informatics 6
- General Social Sciences 13
Countries citing papers authored by Hendri Murfi
This map shows the geographic impact of Hendri Murfi'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 Hendri Murfi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hendri Murfi more than expected).
Fields of papers citing papers by Hendri Murfi
This network shows the impact of papers produced by Hendri Murfi. 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 Hendri Murfi. The network helps show where Hendri Murfi may publish in the future.
Co-authors
The 7 scholars most cited alongside Hendri Murfi, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 88 | |
| 2 | 2020 | 67 | |
| 3 | 2020 | 58 | |
| 4 | The accuracy of XGBoost for insurance claim prediction | 2018 | 54 |
| 5 | 2020 | 49 | |
| 6 | 2015 | 41 | |
| 7 | 2022 | 36 | |
| 8 | 2023 | 28 | |
| 9 | 2021 | 19 | |
| 10 | 2019 | 15 | |
| 11 | 2016 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2017 | 13 | |
| 14 | 2019 | 12 | |
| 15 | 2017 | 11 | |
| 16 | A two-level learning hierarchy of concept based keyword extraction for tag recommendations | 2009 | 10 |
| 17 | 2019 | 10 | |
| 18 | 2019 | 8 | |
| 19 | 2019 | 7 | |
| 20 | 2022 | 6 |
About Hendri Murfi
Hendri Murfi is a scholar working on Artificial Intelligence, Information Systems, Computer Vision and Pattern Recognition, Management Science and Operations Research and Statistical and Nonlinear Physics, having authored 58 papers that have together received 632 indexed citations. Recurring topics across this work include Text and Document Classification Technologies (19 papers), Advanced Text Analysis Techniques (17 papers), Sentiment Analysis and Opinion Mining (9 papers), Data Mining and Machine Learning Applications (8 papers), Topic Modeling (7 papers), Imbalanced Data Classification Techniques (6 papers), Computer Science and Engineering (5 papers) and Advanced Clustering Algorithms Research (5 papers). The work is most often cited by research in Artificial Intelligence (249 citations), Health Information Management (32 citations), Information Systems (122 citations), Health Informatics (6 citations) and General Social Sciences (13 citations). Hendri Murfi has collaborated with scholars based in Indonesia, Canada and Germany. Frequent co-authors include Kalamullah Ramli, Yekti Widyaningsih, Klaus Obermayer, Alhadi Bustamam, Kiki Ariyanti Sugeng, Joseph Ibrahim and Jonathan D. Stanley. Their work appears in journals such as Big Data and Cognitive Computing, Journal Of Big Data, Sustainability, Applied Soft Computing and IEEE Access.
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.