Imam Much Ibnu Subroto

656 total citations
42 papers, 450 citations indexed

About

Imam Much Ibnu Subroto is a scholar working on Information Systems, Artificial Intelligence and Management Information Systems. According to data from OpenAlex, Imam Much Ibnu Subroto has authored 42 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Information Systems, 23 papers in Artificial Intelligence and 8 papers in Management Information Systems. Recurrent topics in Imam Much Ibnu Subroto's work include Edcuational Technology Systems (12 papers), Multimedia Learning Systems (7 papers) and Decision Support System Applications (6 papers). Imam Much Ibnu Subroto is often cited by papers focused on Edcuational Technology Systems (12 papers), Multimedia Learning Systems (7 papers) and Decision Support System Applications (6 papers). Imam Much Ibnu Subroto collaborates with scholars based in Indonesia, Malaysia and Saudi Arabia. Imam Much Ibnu Subroto's co-authors include Tole Sutikno, Deris Stiawan, Munawar Agus Riyadi, Lina Handayani, Sharareh Rostam Niakan Kalhori, Moloud Abdar, Goli Arji, Ali Selamat, Rahmat Budiarto and Mohd. Yazid Idris and has published in prestigious journals such as IEEE Access, Journal of King Saud University - Computer and Information Sciences and Social Network Analysis and Mining.

In The Last Decade

Imam Much Ibnu Subroto

37 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Imam Much Ibnu Subroto Indonesia 9 171 156 77 53 52 42 450
Hosam F. El-Sofany Egypt 14 234 1.4× 128 0.8× 89 1.2× 35 0.7× 55 1.1× 46 524
Amin Y. Noaman Saudi Arabia 11 104 0.6× 175 1.1× 107 1.4× 16 0.3× 57 1.1× 39 584
Md. Mostafizer Rahman Japan 11 198 1.2× 351 2.3× 41 0.5× 23 0.4× 15 0.3× 28 842
A. Sai Sabitha India 12 159 0.9× 231 1.5× 53 0.7× 28 0.5× 152 2.9× 56 620
Rohiza Ahmad Malaysia 10 160 0.9× 91 0.6× 77 1.0× 24 0.5× 14 0.3× 50 297
Najwa Hayaati Mohd Alwi Malaysia 7 113 0.7× 59 0.4× 67 0.9× 47 0.9× 20 0.4× 37 275
Hafiza Abas Malaysia 10 217 1.3× 141 0.9× 102 1.3× 19 0.4× 19 0.4× 55 460
Devendra K. Tayal India 14 178 1.0× 363 2.3× 60 0.8× 79 1.5× 26 0.5× 75 623
Fisnik Dalipi Sweden 13 146 0.9× 214 1.4× 84 1.1× 29 0.5× 19 0.4× 38 609
Abdullah Alshanqiti Saudi Arabia 9 110 0.6× 197 1.3× 87 1.1× 21 0.4× 40 0.8× 26 534

Countries citing papers authored by Imam Much Ibnu Subroto

Since Specialization
Citations

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

Fields of papers citing papers by Imam Much Ibnu Subroto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Imam Much Ibnu Subroto. 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 Imam Much Ibnu Subroto. The network helps show where Imam Much Ibnu Subroto may publish in the future.

Co-authorship network of co-authors of Imam Much Ibnu Subroto

This figure shows the co-authorship network connecting the top 25 collaborators of Imam Much Ibnu Subroto. A scholar is included among the top collaborators of Imam Much Ibnu Subroto 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 Imam Much Ibnu Subroto. Imam Much Ibnu Subroto 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.
2.
Sensuse, Dana Indra, et al.. (2023). Expert retrieval based on local journals metadata to drive small-medium industries (SMI) collaboration for product innovation. Social Network Analysis and Mining. 13(1). 1 indexed citations
3.
Dewi, Deshinta Arrova, et al.. (2023). Smart System Side Slip Tester with Exponential Filter. Indonesian Journal of Electrical Engineering and Informatics (IJEEI). 11(2). 1 indexed citations
4.
Purwanto, Purwanto, et al.. (2023). Pendampingan Peningkatan Kapasitas Bisnis UMKM Di Kota Tengerang Selatan. 3(2). 89–98.
5.
Subroto, Imam Much Ibnu, et al.. (2023). SISTEM DETEKSI MASKER PADA WAJAH MENGGUNAKAN CONVOLUTIONAL NEURAL NETWORK ARSITEKTUR VGG16. 25(4). 179–185. 1 indexed citations
6.
Subroto, Imam Much Ibnu, et al.. (2023). Classification of Ischemic, Infectious, and Normal Diabetic Foot Ulcers Based on the EfficientNet Model. 7–11. 2 indexed citations
7.
Stiawan, Deris, et al.. (2023). An Improved LSTM-PCA Ensemble Classifier for SQL Injection and XSS Attack Detection. Computer Systems Science and Engineering. 46(2). 1759–1774. 11 indexed citations
8.
Stiawan, Deris, Dian Palupi Rini, Imam Much Ibnu Subroto, et al.. (2020). An Approach for Optimizing Ensemble Intrusion Detection Systems. IEEE Access. 9. 6930–6947. 29 indexed citations
9.
Subroto, Imam Much Ibnu, et al.. (2018). Indonesian Articles Recommender System Using n-gram and Tanimoto Coefficient. 6(1). 15–20. 3 indexed citations
10.
Subroto, Imam Much Ibnu, et al.. (2018). Artificial Neural Network for Healthy Chicken Meat Identification. IAES International Journal of Artificial Intelligence. 7(1). 63–63. 5 indexed citations
11.
Subroto, Imam Much Ibnu, et al.. (2017). Sistem Rekomendasi Hasil Pencarian Artikel Menggunakan Metode Jaccard’s Coefficient. 2(1). 1–14. 4 indexed citations
12.
Subroto, Imam Much Ibnu, et al.. (2016). A Position Controller Model on Color-Based Object Tracking using Fuzzy Logic. Proceeding of the Electrical Engineering Computer Science and Informatics. 3(1). 1 indexed citations
13.
14.
Subroto, Imam Much Ibnu, et al.. (2016). SIM-Ekskul: Rancang Bangun Sistem Informasi Manajemen Ekstrakurikuler pada Sekolah Menengah Atas. 1(1). 37–46. 2 indexed citations
15.
Abdar, Moloud, Sharareh Rostam Niakan Kalhori, Tole Sutikno, Imam Much Ibnu Subroto, & Goli Arji. (2015). Comparing Performance of Data Mining Algorithms in Prediction Heart Diseases. International Journal of Electrical and Computer Engineering (IJECE). 5(6). 1569–1569. 75 indexed citations
16.
Subroto, Imam Much Ibnu & Ali Selamat. (2014). Plagiarism Detection through Internet using Hybrid Artificial Neural Network and Support Vectors Machine. TELKOMNIKA (Telecommunication Computing Electronics and Control). 12(1). 209–209. 8 indexed citations
17.
Sutikno, Tole, Deris Stiawan, & Imam Much Ibnu Subroto. (2014). Fortifying Big Data infrastructures to Face Security and Privacy Issues. TELKOMNIKA (Telecommunication Computing Electronics and Control). 12(4). 751–751. 11 indexed citations
18.
Subroto, Imam Much Ibnu & Ali Selamat. (2014). Plagiarism Detection through Internet using Hybrid Artificial Neural Network and Support Vectors Machine. TELKOMNIKA (Telecommunication Computing Electronics and Control). 12(1). 209–209. 3 indexed citations
19.
Subroto, Imam Much Ibnu, Tole Sutikno, & Deris Stiawan. (2014). The Architecture of Indonesian Publication Index: A Major Indonesian Academic Database. TELKOMNIKA (Telecommunication Computing Electronics and Control). 12(1). 1–1. 4 indexed citations
20.
Subroto, Imam Much Ibnu, Tole Sutikno, & Deris Stiawan. (2014). The Architecture of Indonesian Publication Index: A Major Indonesian Academic Database. TELKOMNIKA (Telecommunication Computing Electronics and Control). 12(1). 1–1. 2 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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