Ganjar Alfian

2.8k total citations · 1 hit paper
49 papers, 1.9k citations indexed

About

Ganjar Alfian is a scholar working on Health Information Management, Artificial Intelligence and Marketing. According to data from OpenAlex, Ganjar Alfian has authored 49 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Health Information Management, 14 papers in Artificial Intelligence and 9 papers in Marketing. Recurrent topics in Ganjar Alfian's work include Artificial Intelligence in Healthcare (14 papers), Food Supply Chain Traceability (8 papers) and Diabetes Management and Research (7 papers). Ganjar Alfian is often cited by papers focused on Artificial Intelligence in Healthcare (14 papers), Food Supply Chain Traceability (8 papers) and Diabetes Management and Research (7 papers). Ganjar Alfian collaborates with scholars based in South Korea, Indonesia and Brunei. Ganjar Alfian's co-authors include Jongtae Rhee, Muhammad Syafrudin, Norma Latif Fitriyani, Muhammad Fazal Ijaz, M. Alex Syaekhoni, Umar Farooq, Jaeho Lee, Byungun Yoon, Yong-Shin Kang and Muhammad Rifqi Maarif and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.

In The Last Decade

Ganjar Alfian

45 papers receiving 1.8k citations

Hit Papers

HDPM: An Effective Heart ... 2020 2026 2022 2024 2020 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ganjar Alfian South Korea 21 510 493 249 203 175 49 1.9k
Norma Latif Fitriyani South Korea 19 393 0.8× 430 0.9× 121 0.5× 192 0.9× 154 0.9× 74 1.7k
Mohammad Shabaz India 28 298 0.6× 698 1.4× 41 0.2× 111 0.5× 583 3.3× 162 2.7k
Yung-Cheol Byun South Korea 29 45 0.1× 596 1.2× 102 0.4× 174 0.9× 381 2.2× 158 2.8k
N. Deepa India 19 60 0.1× 397 0.8× 41 0.2× 635 3.1× 444 2.5× 77 2.4k
Imran Sarwar Bajwa Pakistan 24 44 0.1× 453 0.9× 75 0.3× 51 0.3× 312 1.8× 126 1.7k
R. Dhanalakshmi India 16 36 0.1× 407 0.8× 44 0.2× 92 0.5× 238 1.4× 83 1.5k
Kapil Joshi India 16 119 0.2× 188 0.4× 27 0.1× 27 0.1× 126 0.7× 199 1.1k
Kavita Kavita India 29 133 0.3× 549 1.1× 31 0.1× 41 0.2× 835 4.8× 157 2.7k
Aditya Khamparia India 27 445 0.9× 1.2k 2.4× 25 0.1× 51 0.3× 427 2.4× 94 3.0k
Sarah S. Lam United States 17 192 0.4× 493 1.0× 17 0.1× 169 0.8× 34 0.2× 52 1.4k

Countries citing papers authored by Ganjar Alfian

Since Specialization
Citations

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

Fields of papers citing papers by Ganjar Alfian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ganjar Alfian

This figure shows the co-authorship network connecting the top 25 collaborators of Ganjar Alfian. A scholar is included among the top collaborators of Ganjar Alfian 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 Ganjar Alfian. Ganjar Alfian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Farooq, Umar, et al.. (2024). Application of the outlier detection method for web-based blood glucose level monitoring system. Bulletin of Electrical Engineering and Informatics. 13(4). 2809–2816. 2 indexed citations
2.
Syafrudin, Muhammad, Ganjar Alfian, Norma Latif Fitriyani, & Muhammad Anshari. (2024). Applied Artificial Intelligence for Sustainability. Sustainability. 16(6). 2469–2469. 2 indexed citations
3.
Alfian, Ganjar, et al.. (2023). Utilizing Random Forest with iForest-Based Outlier Detection and SMOTE to Detect Movement and Direction of RFID Tags. Future Internet. 15(3). 103–103. 12 indexed citations
4.
Saputra, Yuris Mulya, et al.. (2023). Perancangan Federated Learning Berbasis Homomorphic Encryption untuk Perangkat Internet of Things. SHILAP Revista de lepidopterología. 4(1). 1–5.
5.
Fitriyani, Norma Latif, Muhammad Syafrudin, Ganjar Alfian, et al.. (2023). Performance Analysis and Assessment of Type 2 Diabetes Screening Scores in Patients with Non-Alcoholic Fatty Liver Disease. Mathematics. 11(10). 2266–2266. 1 indexed citations
6.
Alfian, Ganjar, et al.. (2023). Web-based E-Commerce Customer Segmentation System Using RFM and K-Means Model. 9. 83–87. 2 indexed citations
7.
Hameed, Alaa Ali, et al.. (2023). Brain Pathology Classification of MR Images Using Machine Learning Techniques. Computers. 12(8). 167–167. 8 indexed citations
8.
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10.
Fitriyani, Norma Latif, et al.. (2022). Chronic Disease Prediction Model Using Integration of DBSCAN, SMOTE-ENN, and Random Forest. 289–294. 5 indexed citations
11.
Syafrudin, Muhammad, Ganjar Alfian, Norma Latif Fitriyani, et al.. (2020). A Self-Care Prediction Model for Children with Disability Based on Genetic Algorithm and Extreme Gradient Boosting. Mathematics. 8(9). 1590–1590. 12 indexed citations
12.
Alfian, Ganjar, et al.. (2020). In-store Customer Shopping Behavior Analysis by Utilizing RFID-enabled Shelf and Multilayer Perceptron Model. IOP Conference Series Materials Science and Engineering. 803(1). 12022–12022. 3 indexed citations
13.
Fitriyani, Norma Latif, et al.. (2020). Prediction Model for Type 2 Diabetes using Stacked Ensemble Classifiers. 2020 International Conference on Decision Aid Sciences and Application (DASA). 399–402. 10 indexed citations
14.
Alfian, Ganjar, Muhammad Syafrudin, Muhammad Fazal Ijaz, et al.. (2018). A Personalized Healthcare Monitoring System for Diabetic Patients by Utilizing BLE-Based Sensors and Real-Time Data Processing. Sensors. 18(7). 2183–2183. 164 indexed citations
15.
Ijaz, Muhammad Fazal, Ganjar Alfian, Muhammad Syafrudin, & Jongtae Rhee. (2018). Hybrid Prediction Model for Type 2 Diabetes and Hypertension Using DBSCAN-Based Outlier Detection, Synthetic Minority Over Sampling Technique (SMOTE), and Random Forest. Applied Sciences. 8(8). 1325–1325. 160 indexed citations
16.
Alfian, Ganjar, Jongtae Rhee, Muhammad Fazal Ijaz, Muhammad Syafrudin, & Norma Latif Fitriyani. (2017). Performance Analysis of a Forecasting Relocation Model for One-Way Carsharing. Applied Sciences. 7(6). 598–598. 15 indexed citations
17.
Syaekhoni, M. Alex, Ganjar Alfian, & Young Dae Kwon. (2017). Customer Purchasing Behavior Analysis as Alternatives for Supporting In-Store Green Marketing Decision-Making. Sustainability. 9(11). 2008–2008. 29 indexed citations
18.
Ijaz, Muhammad Fazal, et al.. (2016). Efficient Digital Signage-Based Online Store Layout: An Experimental Study. Sustainability. 8(6). 511–511. 22 indexed citations
19.
Rhee, Jongtae, Ganjar Alfian, & Byungun Yoon. (2014). Application of Simulation Method and Regression Analysis to Optimize Car Operations in Carsharing Services: A Case Study in South Korea. Journal of Public Transportation. 17(1). 121–160. 5 indexed citations
20.
Alfian, Ganjar, Jongtae Rhee, & Byungun Yoon. (2014). A relocation simulation model for one-way carsharing service. 718–723. 8 indexed citations

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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