Muhammad Syafrudin
- Health Information Management top 0.1%
- Artificial Intelligence in Healthcare 17
- Pollution top 5%
- Health Informatics top 5%
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- Plant Growth and Agriculture Techniques 9
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- Anomaly Detection Techniques and Applications 8
- Imbalanced Data Classification Techniques 5
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- Smart Agriculture and AI 7
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- Food Supply Chain Traceability 7
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- Diabetes Management and Research 5
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- Forest Ecology and Conservation 5
- Co-authors
- Jongtae RheeNorma Latif FitriyaniGanjar AlfianTony HadibarataMuhammad Fazal IjazRisky Ayu KristantiAmal M. Al‐MohaimeedAdhi Yuniarto
- Partner nations
- South KoreaIndonesiaPakistan
In The Last Decade
Muhammad Syafrudin
94 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 172
- Health Information Management 514
- Medical Laboratory Technology 50
- Pollution 280
- Health Informatics 30
- Industrial and Manufacturing Engineering 209
Countries citing papers authored by Muhammad Syafrudin
This map shows the geographic impact of Muhammad Syafrudin'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 Muhammad Syafrudin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Muhammad Syafrudin more than expected).
Fields of papers citing papers by Muhammad Syafrudin
This network shows the impact of papers produced by Muhammad Syafrudin. 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 Muhammad Syafrudin. The network helps show where Muhammad Syafrudin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Muhammad Syafrudin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2024 | 11 | |
| 3 | 2024 | 24 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 2 | |
| 8 | 2023 | 4 | |
| 9 | 2023 | 23 | |
| 10 | 2023 | 24 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 1 | |
| 13 | 2023 | 7 | |
| 14 | 2022 | 9 | |
| 15 | Pesticides in Drinking Water—A Reviewbreakdown → | 2021 | 452 |
| 16 | 2020 | 3 | |
| 17 | 2020 | 12 | |
| 18 | 2019 | 18 | |
| 19 | 2018 | 164 | |
| 20 | 2018 | 160 |
About Muhammad Syafrudin
Muhammad Syafrudin is a scholar working on Health Information Management, Forestry and Soil Science, having authored 114 papers that have together received 2.7k indexed citations. Recurring topics across this work include Artificial Intelligence in Healthcare (17 papers), Plant Growth and Agriculture Techniques (9 papers), Anomaly Detection Techniques and Applications (8 papers), Smart Agriculture and AI (7 papers), Food Supply Chain Traceability (7 papers), Diabetes Management and Research (5 papers), Imbalanced Data Classification Techniques (5 papers) and Forest Ecology and Conservation (5 papers). The work is most often cited by research in Health Information Management (514 citations), Medical Laboratory Technology (50 citations) and Pollution (280 citations). Muhammad Syafrudin has collaborated with scholars based in South Korea, Indonesia and Pakistan. Frequent co-authors include Jongtae Rhee, Norma Latif Fitriyani, Ganjar Alfian, Tony Hadibarata, Muhammad Fazal Ijaz, Risky Ayu Kristanti, Amal M. Al‐Mohaimeed, Adhi Yuniarto, M. Alex Syaekhoni and Tahani Saad Algarni. Their work appears in journals such as Sustainability, IEEE Access, Scientific Reports, Applied Sciences and PeerJ Computer Science.
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.