Subanar Subanar

686 total citations
84 papers, 461 citations indexed

About

Subanar Subanar is a scholar working on Artificial Intelligence, Management Science and Operations Research and Information Systems. According to data from OpenAlex, Subanar Subanar has authored 84 papers receiving a total of 461 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Artificial Intelligence, 25 papers in Management Science and Operations Research and 21 papers in Information Systems. Recurrent topics in Subanar Subanar's work include Stock Market Forecasting Methods (17 papers), Data Mining and Machine Learning Applications (13 papers) and Statistical and numerical algorithms (11 papers). Subanar Subanar is often cited by papers focused on Stock Market Forecasting Methods (17 papers), Data Mining and Machine Learning Applications (13 papers) and Statistical and numerical algorithms (11 papers). Subanar Subanar collaborates with scholars based in Indonesia, Malaysia and Azerbaijan. Subanar Subanar's co-authors include Suhartono Suhartono, Muhammad Hisyam Lee, Paulo Canas Rodrigues, Seng Hansun, Douglas C. Montgomery, Vincent Charles, Edi Winarko, Imam Riadi, Dedi Rosadi and Ahmad Ashari and has published in prestigious journals such as SHILAP Revista de lepidopterología, Energy and MethodsX.

In The Last Decade

Subanar Subanar

70 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Subanar Subanar Indonesia 12 184 143 97 80 74 84 461
Tzu-Yu Lin China 10 141 0.8× 71 0.5× 106 1.1× 40 0.5× 86 1.2× 31 361
A. Thavaneswaran Canada 16 413 2.2× 92 0.6× 109 1.1× 43 0.5× 314 4.2× 126 980
C. K. Jha India 9 200 1.1× 130 0.9× 166 1.7× 104 1.3× 50 0.7× 49 529
Jingtao Yao Canada 8 391 2.1× 128 0.9× 203 2.1× 32 0.4× 200 2.7× 17 629
Qian Ma China 14 120 0.7× 125 0.9× 136 1.4× 118 1.5× 117 1.6× 57 633
Germán G. Creamer United States 12 217 1.2× 145 1.0× 143 1.5× 64 0.8× 247 3.3× 51 655
Pakize Taylan Türkiye 10 70 0.4× 33 0.2× 75 0.8× 22 0.3× 34 0.5× 19 398
Sha Fu China 12 116 0.6× 57 0.4× 145 1.5× 78 1.0× 28 0.4× 45 434
Yakup Selvı Türkiye 5 190 1.0× 53 0.4× 155 1.6× 30 0.4× 72 1.0× 14 420
Abrar Hussain Pakistan 15 437 2.4× 38 0.3× 126 1.3× 63 0.8× 9 0.1× 42 619

Countries citing papers authored by Subanar Subanar

Since Specialization
Citations

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

Fields of papers citing papers by Subanar Subanar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Subanar Subanar

This figure shows the co-authorship network connecting the top 25 collaborators of Subanar Subanar. A scholar is included among the top collaborators of Subanar Subanar 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 Subanar Subanar. Subanar Subanar 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.
Subanar, Subanar, et al.. (2022). Block-Based K-Medoids Partitioning Method with Standardized Data to Improve Clustering Accuracy. Mathematical Modelling and Engineering Problems. 9(6). 1613–1621. 2 indexed citations
2.
Subanar, Subanar, et al.. (2021). A comparison forecasting methods for trend and seasonal Indonesia tourist arrivals time series. AIP conference proceedings. 2329. 60012–60012. 2 indexed citations
3.
Subanar, Subanar, et al.. (2020). Fuzzy Estimations for Detecting Abrupt Changes: Cases on Tourism Series. Mathematics and Statistics. 8(6). 747–761.
4.
Subanar, Subanar, et al.. (2018). Development of a Spatial Path-Analysis Method for Spatial Data Analysis. International Journal of Electrical and Computer Engineering (IJECE). 8(4). 2456–2456. 4 indexed citations
5.
Subanar, Subanar, et al.. (2017). Kajian terhadap Beberapa Metode Optimasi (Survey of Optimization Methods). SHILAP Revista de lepidopterología. 1 indexed citations
6.
Subanar, Subanar, et al.. (2016). Applied Multiresolution B-Spline Wavelet to Neural Network Model and Its Application to Predict Some Economics Data. International Journal of Applied Mathematics & Statistics. 53(1). 92–103. 2 indexed citations
7.
Subanar, Subanar, et al.. (2015). GENERAL REGRESSION NEURAL NETWORK (GRNN) PADA PERAMALAN KURS DOLAR DAN INDEKS HARGA SAHAM GABUNGAN (IHSG). Faktor Exacta. 8(2). 137–144. 3 indexed citations
8.
Subanar, Subanar, et al.. (2014). KONVERGENSI ESTIMATOR DALAM MODEL MIXTURE BERBASIS MISSING DATA. SHILAP Revista de lepidopterología.
9.
Subanar, Subanar, et al.. (2014). The Procedure of Kriging Variance Estimation Based on Semi parametric Bootstrapping in Deterministic Simulation. International Journal of Applied Mathematics & Statistics. 52(7). 99–110. 2 indexed citations
10.
Subanar, Subanar, et al.. (2014). A Comparison Study of Parametric and Semiparametric Bootstrapping in Deterministic Simulation. International Journal of Applied Mathematics & Statistics. 53(5). 172–181. 2 indexed citations
11.
Subanar, Subanar, et al.. (2013). PENENTUAN RUTE PENGAMBILAN SAMPAH DI KOTA MERAUKE DENGAN METODE SAVING HEURISTIC. 15(2). 85–94.
12.
13.
Rezeki, Sri, et al.. (2012). Statistical Significance Test for Neural Network Classification. 11(1). 64–64. 1 indexed citations
14.
Setiawan, Budi & Subanar Subanar. (2010). Color pixel classification using genetic fuzzy system: Case study on earth surface classification. 1–6. 2 indexed citations
15.
Ernawati, Ernawati & Subanar Subanar. (2010). Using particle swarm optimization to a financial time series prediction. 1–6. 2 indexed citations
16.
Subanar, Subanar, et al.. (2010). PEMILIHAN MODEL REGRESI LINIER DENGAN BOOTSTRAP. Mathematika. 4(1). 118615.
17.
Subanar, Subanar, et al.. (2010). Optimisasi Portofolio Mean-VaR di bawah CAPM Transformasi Koyck dengan Volatilitas Tak Konstan dan Efek Long Memory. Jurnal Teknik Industri. 12(2). 89–94. 2 indexed citations
18.
Suhartono, Suhartono & Subanar Subanar. (2009). Development of Model Building Procedures in Wavelet Neural Networks for Forecasting Non-Stationary Time Series. 13 indexed citations
19.
Otok, Bambang Widjanarko, et al.. (2007). Mengatasi Penyimpangan Asumsi Normalitas pada Pemodelan Persamaan Struktural Menggunakan Bootstrap. 7(2). 219799. 2 indexed citations
20.
Otok, Bambang Widjanarko, et al.. (2006). Faktor-faktor yang Mempengaruhi Volume Perdagangan Saham Menggunakan Multivariate Adaptive Regression Splines. 6(3). 220182. 3 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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