Armin Lawi

571 total citations
57 papers, 336 citations indexed

About

Armin Lawi is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Armin Lawi has authored 57 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 16 papers in Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in Armin Lawi's work include Imbalanced Data Classification Techniques (8 papers), Data Mining and Machine Learning Applications (8 papers) and Artificial Intelligence in Healthcare (6 papers). Armin Lawi is often cited by papers focused on Imbalanced Data Classification Techniques (8 papers), Data Mining and Machine Learning Applications (8 papers) and Artificial Intelligence in Healthcare (6 papers). Armin Lawi collaborates with scholars based in Indonesia, Japan and Netherlands. Armin Lawi's co-authors include Syafruddin Syarif, Sudirman Nasir, Zahir Zainuddin, Akihiro Kanagawa, Edy Budiman, Hitoshi Yamauchi, Hironori Takimoto, Intan Sari Areni, Gunawan Gunawan and Mawardi Bahri and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nutrients and Frontiers in Nutrition.

In The Last Decade

Armin Lawi

47 papers receiving 318 citations

Peers

Armin Lawi
Rejwan Bin Sulaiman United Kingdom
Feng-Jen Yang United States
Nadeem Ahmed Bangladesh
Armin Lawi
Citations per year, relative to Armin Lawi Armin Lawi (= 1×) peers Archana Purwar

Countries citing papers authored by Armin Lawi

Since Specialization
Citations

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

Fields of papers citing papers by Armin Lawi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Armin Lawi

This figure shows the co-authorship network connecting the top 25 collaborators of Armin Lawi. A scholar is included among the top collaborators of Armin Lawi 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 Armin Lawi. Armin Lawi 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.
Lawi, Armin, et al.. (2024). Ensemble Transfer Learning for Hand-sign Digit Image Classification. Journal of Advanced Research in Applied Sciences and Engineering Technology. 43(1). 95–111.
2.
Lawi, Armin, et al.. (2024). Automated Detection of Learning Styles using Online Activities and Model Indicators. International Journal of Advanced Computer Science and Applications. 15(6).
3.
Lawi, Armin, et al.. (2023). Early detection model of Parkinson's Disease using Random Forest Method on voice frequency data. 9(1). 29–37. 2 indexed citations
4.
Lawi, Armin, et al.. (2021). Predicting Obesity in Adults Using Machine Learning Techniques: An Analysis of Indonesian Basic Health Research 2018. Frontiers in Nutrition. 8. 669155–669155. 53 indexed citations
5.
Lawi, Armin, et al.. (2021). Klasifikasi Suara Kucing dan Anjing Menggunakan Convolutional Neural Network. 5. 321–327.
7.
Lawi, Armin, et al.. (2021). Klasifikasi Audio Cats and Dogs Menggunakan Model Artifical Neural Network Multi-perceptron. 5. 56–61. 1 indexed citations
8.
Areni, Intan Sari, et al.. (2020). IoT-Based of Automatic Electrical Appliance for Smart Home. International Journal of Interactive Mobile Technologies (iJIM). 14(18). 204–204. 12 indexed citations
9.
Lawi, Armin, et al.. (2019). k-Coterie and Coterie Join Operation. Journal of Physics Conference Series. 1341(4). 42020–42020.
11.
12.
Lawi, Armin, et al.. (2017). PENERAPAN MODEL TRANSPORTASI DALAM PENDISTRIBUSIAN BBM DI PROVINSI SULAWESI SELATAN. Hasanuddin University Repository. 1 indexed citations
13.
Lawi, Armin, et al.. (2017). Implementasi Operasi Relasional Extensible Markup Language (XML) Pada Sistem Informasi. 8(1). 26–36.
14.
Lawi, Armin, et al.. (2017). Sistem Penjualan Online Dan Monitoring Otomatis Telur Ayam Ras Petelur. 8(3). 184–193. 2 indexed citations
16.
Lawi, Armin, et al.. (2016). Estimating piecewise exponential frailty model with changing prior for baseline hazard function. AIP conference proceedings. 1707. 80014–80014. 1 indexed citations
17.
Lawi, Armin, et al.. (2016). Multiclass classification using Least Squares Support Vector Machine. 7–9. 5 indexed citations
18.
Lawi, Armin, et al.. (2015). PERBANDINGAN TEKNIK KLASIFIKASI MULTICLASS MENGGUNAKAN SUPPORT VECTOR MACHINE. Hasanuddin University Repository. 1 indexed citations
19.
Lawi, Armin, et al.. (2006). A Quorum Based (m, h, k)-Resource Allocation Algorithm.. Parallel and Distributed Processing Techniques and Applications. 399–405.
20.
Lawi, Armin, et al.. (2000). On Constructing a Binary Tree from Its Traversals. Kyushu University Institutional Repository (QIR) (Kyushu University). 5(1). 13–18. 1 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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