Asri Mulyani

548 total citations
94 papers, 330 citations indexed

About

Asri Mulyani is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Asri Mulyani has authored 94 papers receiving a total of 330 indexed citations (citations by other indexed papers that have themselves been cited), including 73 papers in Information Systems, 57 papers in Artificial Intelligence and 27 papers in Management Information Systems. Recurrent topics in Asri Mulyani's work include Edcuational Technology Systems (53 papers), Decision Support System Applications (26 papers) and Blockchain Technology in Education and Learning (25 papers). Asri Mulyani is often cited by papers focused on Edcuational Technology Systems (53 papers), Decision Support System Applications (26 papers) and Blockchain Technology in Education and Learning (25 papers). Asri Mulyani collaborates with scholars based in Indonesia. Asri Mulyani's co-authors include Dede Kurniadi, Ridwan Setiawan, Hilmi Aulawi, Dewi Tresnawati, Dian Sa’adillah Maylawati, Nurul Fauziah, Pipit Fitriani, Muljono Muljono, Moch Arief Soeleman and Anak Agung Gede Agung and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and International journal of scientific and technology research.

In The Last Decade

Asri Mulyani

72 papers receiving 298 citations

Peers

Asri Mulyani
Rohmat Taufiq Indonesia
Dede Kurniadi Indonesia
Yusra Fernando Indonesia
Tonni Limbong Indonesia
Edhy Sutanta Indonesia
Rohmat Taufiq Indonesia
Asri Mulyani
Citations per year, relative to Asri Mulyani Asri Mulyani (= 1×) peers Rohmat Taufiq

Countries citing papers authored by Asri Mulyani

Since Specialization
Citations

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

Fields of papers citing papers by Asri Mulyani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Asri Mulyani

This figure shows the co-authorship network connecting the top 25 collaborators of Asri Mulyani. A scholar is included among the top collaborators of Asri Mulyani 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 Asri Mulyani. Asri Mulyani 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
5.
Setiawan, Ridwan, et al.. (2024). Aplikasi Resep Makanan Bergizi Membantu Pencegahan Stunting Menggunakan Metodologi Agile Framework Scrum. SHILAP Revista de lepidopterología. 11(4). 761–770.
6.
Mulyani, Asri, Muljono Muljono, Purwanto Purwanto, & Moch Arief Soeleman. (2024). Filter Gabor and SMOTE Method-Based Convolutional Neural Network for Diabetic Retinopathy Classification. 465–470. 1 indexed citations
7.
Mulyani, Asri, et al.. (2023). Penerapan Metode Certainty Factor pada Sistem Pakar Diagnosis Penyakit Difteri Berbasis Web. SHILAP Revista de lepidopterología. 12(3). 205–211. 1 indexed citations
8.
Mulyani, Asri, et al.. (2023). Sistem Informasi Geografis Pemetaan Tempat Oleh-Oleh di Kabupaten Garut Berbasis Android. Jurnal Algoritma. 20(1). 1–10.
11.
Kurniadi, Dede, et al.. (2022). Perancangan Aplikasi Text To Speech Dalam Bahasa Indonesia Menggunakan Firebase Machine Learning Kit Berbasis Android. SHILAP Revista de lepidopterología. 9(6). 1281–1288. 3 indexed citations
12.
Mulyani, Asri, et al.. (2022). THE PREDICTION OF PPA AND KIP-KULIAH SCHOLARSHIP RECIPIENTS USING NAIVE BAYES ALGORITHM. Jurnal Teknik Informatika (Jutif). 3(4). 821–827. 4 indexed citations
13.
Kurniadi, Dede, et al.. (2022). DATA MINING CLUSTERING FOOD EXPENDITURE IN INDONESIA. Jurnal Teknik Informatika (Jutif). 3(6). 1491–1500. 1 indexed citations
14.
Kurniadi, Dede, et al.. (2022). Sistem Informasi Geografis Pemetaan Data Terpadu Kesejahteraan Sosial di Kabupaten Garut. SHILAP Revista de lepidopterología. 9(6). 1307–1314.
15.
Tresnawati, Dewi, et al.. (2022). Rancang Bangun Aplikasi Media Pembelajaran Interaktif Asmaul Husna Berbasis Android. Jurnal Algoritma. 19(1). 192–201. 2 indexed citations
16.
Mulyani, Asri, et al.. (2021). Rancang Bangun Sistem Informasi Penggajian Dosen Berbasis Web. Jurnal Algoritma. 18(1). 87–96. 1 indexed citations
17.
Mulyani, Asri, et al.. (2020). Strategic Planning For The Implementation Of Tourism Information Systems. International journal of scientific and technology research. 9(2). 4714–4717. 6 indexed citations
18.
Kurniadi, Dede, et al.. (2018). Estimated software measurement base on use case for online admission system. IOP Conference Series Materials Science and Engineering. 434. 12062–12062. 13 indexed citations
19.
Kurniadi, Dede & Asri Mulyani. (2017). Pengaruh Teknologi Mesin Pencari Google Terhadap Perkembangan Budaya dan Etika Mahasiswa. Jurnal Algoritma. 14(1). 19–25. 1 indexed citations
20.
Kurniadi, Dede, et al.. (2016). Aplikasi Simulasi Tes Buta Warna Berbasis Android Menggunakan Metode Ishihara. Jurnal Algoritma. 13(2). 451–456. 11 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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