Hindriyanto Dwi Purnomo

850 total citations
120 papers, 493 citations indexed

About

Hindriyanto Dwi Purnomo is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Hindriyanto Dwi Purnomo has authored 120 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Information Systems, 37 papers in Artificial Intelligence and 11 papers in Management Information Systems. Recurrent topics in Hindriyanto Dwi Purnomo's work include Data Mining and Machine Learning Applications (22 papers), Information Retrieval and Data Mining (19 papers) and Multimedia Learning Systems (18 papers). Hindriyanto Dwi Purnomo is often cited by papers focused on Data Mining and Machine Learning Applications (22 papers), Information Retrieval and Data Mining (19 papers) and Multimedia Learning Systems (18 papers). Hindriyanto Dwi Purnomo collaborates with scholars based in Indonesia, Taiwan and Malaysia. Hindriyanto Dwi Purnomo's co-authors include Hui‐Ming Wee, Hsin Rau, Eko Sediyono, Ade Iriani, Ferry Wahyu Wibowo, Sri Yulianto Joko Prasetyo, Danny Manongga, Kristoko Dwi Hartomo, Hendry Hendry and Irwan Sembiring and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Computers & Industrial Engineering.

In The Last Decade

Hindriyanto Dwi Purnomo

88 papers receiving 465 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hindriyanto Dwi Purnomo Indonesia 12 149 147 112 36 36 120 493
Khalaf Khatatneh Jordan 7 43 0.3× 96 0.7× 30 0.3× 50 1.4× 33 0.9× 17 290
Leonid Stoimenov Serbia 11 95 0.6× 171 1.2× 16 0.1× 43 1.2× 49 1.4× 60 463
Wikan Danar Sunindyo Indonesia 10 118 0.8× 70 0.5× 21 0.2× 45 1.3× 18 0.5× 49 242
David Quintana Spain 12 103 0.7× 160 1.1× 16 0.1× 37 1.0× 34 0.9× 41 558
Héctor G. Ceballos Mexico 10 36 0.2× 86 0.6× 42 0.4× 24 0.7× 10 0.3× 46 295
M. Yu. Kataev Russia 10 137 0.9× 39 0.3× 42 0.4× 72 2.0× 26 0.7× 63 356
Artur Rot Poland 11 78 0.5× 68 0.5× 12 0.1× 39 1.1× 9 0.3× 53 267
Marta Zorrilla Spain 13 177 1.2× 135 0.9× 50 0.4× 89 2.5× 21 0.6× 50 454
Rabih Bashroush United Kingdom 10 319 2.1× 169 1.1× 18 0.2× 148 4.1× 41 1.1× 45 458
Nidal A. Al-Dmour Jordan 10 118 0.8× 84 0.6× 13 0.1× 97 2.7× 15 0.4× 39 372

Countries citing papers authored by Hindriyanto Dwi Purnomo

Since Specialization
Citations

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

Fields of papers citing papers by Hindriyanto Dwi Purnomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hindriyanto Dwi Purnomo

This figure shows the co-authorship network connecting the top 25 collaborators of Hindriyanto Dwi Purnomo. A scholar is included among the top collaborators of Hindriyanto Dwi Purnomo 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 Hindriyanto Dwi Purnomo. Hindriyanto Dwi Purnomo 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.
Purnomo, Hindriyanto Dwi, et al.. (2024). Analyzing the Distribution of Health Workers in Semarang City Using K-Means Clustering Method. SHILAP Revista de lepidopterología. 6(1). 301–312. 1 indexed citations
2.
Harahap, Eka Purnama, et al.. (2024). Trends in sentiment of Twitter users towards Indonesian tourism: analysis with the k-nearest neighbor method. Zenodo (CERN European Organization for Nuclear Research). 5(1). 13–22.
3.
Wijono, Sutarto, et al.. (2024). Leveraging Machine Learning Models to Enhance Startup Collaboration and Drive Technopreneurship. SHILAP Revista de lepidopterología. 6(3). 1 indexed citations
4.
Purnomo, Hindriyanto Dwi, et al.. (2024). Metaheuristics Approach for Hyperparameter Tuning of Convolutional Neural Network. SHILAP Revista de lepidopterología. 8(3). 340–345. 5 indexed citations
5.
Hartomo, Kristoko Dwi, et al.. (2023). Enhancing Multi-Output Time Series Forecasting with Encoder-Decoder Networks. SHILAP Revista de lepidopterología. 9(2). 195–213.
6.
Hartomo, Kristoko Dwi, et al.. (2023). IPv6 flood attack detection based on epsilon greedy optimized Q learning in single board computer. International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering. 13(5). 5782–5782.
7.
Hadikurniawati, Wiwien, Kristoko Dwi Hartomo, Irwan Sembiring, Hindriyanto Dwi Purnomo, & Ade Iriani. (2023). Triangular fuzzy numbers-based MADM for selecting pregnant mothers at risk of stunting. SHILAP Revista de lepidopterología. 7(3). 579–585. 2 indexed citations
8.
9.
Purnomo, Hindriyanto Dwi, et al.. (2022). FORECASTING PRICES OF FERTILIZER RAW MATERIALS USING LONG SHORT TERM MEMORY. Jurnal Teknik Informatika (Jutif). 3(6). 1663–1673. 2 indexed citations
10.
Purnomo, Hindriyanto Dwi, et al.. (2022). APPLICATION OF K-MEANS METHOD IN THE SPREAD OF POSITIVE CASES OF COVID-19 IN SALATIGA CITY. Jurnal Teknik Informatika (Jutif). 3(5). 1323–1328. 1 indexed citations
11.
12.
Purnomo, Hindriyanto Dwi, et al.. (2022). Utilization of Optical Character Recognition Technology in Reading Identity Cards. 4(2). 38–46. 2 indexed citations
13.
Wibowo, Ferry Wahyu, Eko Sediyono, & Hindriyanto Dwi Purnomo. (2022). Chimpanzee leader election optimization. Mathematics and Computers in Simulation. 201. 68–95. 16 indexed citations
14.
Purnomo, Hindriyanto Dwi, et al.. (2022). ANALYSIS OF THE EFFECTS OF FERTILIZER ON THE QUALITY OF THE MUSTARD PLANT (BRASSICA CHENENSIS L) USING REGRESSION LOGISTICS METHOD. Jurnal Teknik Informatika (Jutif). 3(6). 1565–1572.
15.
Purnomo, Hindriyanto Dwi, et al.. (2020). A Modified Deep Convolutional Network for COVID-19 detection based on chest X-ray images. 700–704. 8 indexed citations
16.
Purnomo, Hindriyanto Dwi, et al.. (2017). Sistem Pendukung Keputusan Pemberian Kredit menggunakan ID3. 14(1). 13–30. 3 indexed citations
17.
Lina, Tirsa Ninia, Irwan Sembiring, & Hindriyanto Dwi Purnomo. (2017). Studi Literatur : Perbandingan Ssl, Set, Sep Berdasarkan End-user Implementation Requirements.
18.
Purnomo, Hindriyanto Dwi, et al.. (2016). Penjadwalan Kelas Praktikum Menggunakan Algoritma Steepest Ascent Hill Climbing. 13(2). 153–168.
19.
Purnomo, Hindriyanto Dwi, et al.. (2015). PERANCANGAN SISTEM PEMANTAUAN PERTUMBUHAN AYAM PADA PETERNAKAN AYAM BROILER DENGAN POLA KEMITRAAN. SEMNASTEKNOMEDIA ONLINE. 3(1). 3 indexed citations
20.
Purnomo, Hindriyanto Dwi, et al.. (2014). Pemberian Rekomendasi Menu Makanan Menggunakan Logika Fuzzy. Seminar Nasional Aplikasi Teknologi Informasi (SNATI). 1(1). 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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