Budhi Irawan

621 total citations
89 papers, 415 citations indexed

About

Budhi Irawan is a scholar working on Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, Budhi Irawan has authored 89 papers receiving a total of 415 indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 44 papers in Information Systems and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Budhi Irawan's work include Multimedia Learning Systems (29 papers), Edcuational Technology Systems (21 papers) and Data Mining and Machine Learning Applications (19 papers). Budhi Irawan is often cited by papers focused on Multimedia Learning Systems (29 papers), Edcuational Technology Systems (21 papers) and Data Mining and Machine Learning Applications (19 papers). Budhi Irawan collaborates with scholars based in Indonesia. Budhi Irawan's co-authors include Casi Setianingsih, Muhammad Nasrun, Agus Suryanto, Muhammad Shahid Iqbal, Ayu Purwarianti, Rinaldi Munir, Inung Wijayanto and Sugondo Hadiyoso and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Physics Conference Series and Interdisciplinary Journal of Information Knowledge and Management.

In The Last Decade

Budhi Irawan

72 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Budhi Irawan Indonesia 12 196 121 70 50 43 89 415
Sreenivas Sremath Tirumala New Zealand 13 226 1.2× 87 0.7× 183 2.6× 6 0.1× 46 1.1× 29 422
Masayu Leylia Khodra Indonesia 13 534 2.7× 199 1.6× 27 0.4× 3 0.1× 62 1.4× 120 758
Rajnish Ratna Bhutan 6 99 0.5× 19 0.2× 47 0.7× 3 0.1× 35 0.8× 10 317
Neeraj Bhargava India 7 132 0.7× 80 0.7× 49 0.7× 59 1.4× 24 365
Lanyu Shang United States 15 325 1.7× 139 1.1× 58 0.8× 113 2.6× 69 656
Ricardus Anggi Pramunendar Indonesia 11 98 0.5× 69 0.6× 25 0.4× 103 2.4× 78 337
Atifa Athar Pakistan 12 189 1.0× 76 0.6× 43 0.6× 50 1.2× 21 484
Nayer Wanas Egypt 12 228 1.2× 147 1.2× 33 0.5× 63 1.5× 34 447
Mahmoud Othman Egypt 11 136 0.7× 56 0.5× 28 0.4× 49 1.1× 26 297
Kanish Shah India 3 192 1.0× 85 0.7× 22 0.3× 15 0.3× 6 363

Countries citing papers authored by Budhi Irawan

Since Specialization
Citations

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

Fields of papers citing papers by Budhi Irawan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Budhi Irawan

This figure shows the co-authorship network connecting the top 25 collaborators of Budhi Irawan. A scholar is included among the top collaborators of Budhi Irawan 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 Budhi Irawan. Budhi Irawan 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.
Irawan, Budhi, et al.. (2020). Analisis Sentimen Pada Bpjs Kesehatan Menggunakan Recurrent Neural Network. eProceedings of Engineering. 7(2). 2 indexed citations
2.
Irawan, Budhi, et al.. (2020). PERANCANGAN APLIKASI DETEKSI DINI PENYAKIT ANEMIA MENGGUNAKAN SISTEM PAKAR DENGAN METODE FORWARD CHAINING BERBASIS ANDROID. eProceedings of Engineering. 7(1). 1 indexed citations
3.
Irawan, Budhi, et al.. (2020). Analisis Sentimen Data Pada Bpjs Kesehatan Menggunakan Backpropagation Neural Network. eProceedings of Engineering. 7(2). 1 indexed citations
4.
Irawan, Budhi, et al.. (2020). Rancang Bangun Aplikasi Terkait Pola Makan Terhadap Tumbuh Kembang Balita Menggunakan Algoritma Genetika Dan Sistem Pakar Forward Chaining Berbasis Android. eProceedings of Engineering. 7(1). 1 indexed citations
5.
Irawan, Budhi, et al.. (2020). Analisis Sentimen Pada Produk Layanan Transportasi Online Menggunakan Metode K-nearest Neighbor. eProceedings of Engineering. 7(3). 2 indexed citations
6.
Irawan, Budhi, et al.. (2019). Pengelompokkan Data Mineral Di Indonesia Menggunakan Metode K-means Clustering. eProceedings of Engineering. 6(2). 2 indexed citations
7.
Irawan, Budhi, et al.. (2018). Deteksi Ujaran Kebencian dengan Menggunakan Algoritma Convolutional Neural Network pada Gambar. eProceedings of Engineering. 5(2). 4 indexed citations
8.
Irawan, Budhi, et al.. (2017). Pengembangan Sistem Otomatisasi Pengendalian Nutrisi Pada Hidroponik Menggunakan Sistem Pakar Dengan Metode Forward Chaining. eProceedings of Engineering. 4(2). 1 indexed citations
9.
Irawan, Budhi, et al.. (2017). Perancangan Dan Implementasi Sistem Kendali Penerbangan Quadcopter Berbasis Pid Menggunakan Gps Dan Komunikasi Lora Pada Pencarian Pendaki Gunung Yang Hilang. eProceedings of Engineering. 4(3). 1 indexed citations
10.
Irawan, Budhi, et al.. (2016). Analisis Dan Implementasi Perbandingan Algoritma Knn (k-nearest Neighbor) Dengan Svm (support Vector Machine) Untuk Prediksi Penawaran Produk. eProceedings of Engineering. 3(3).
11.
Irawan, Budhi, et al.. (2016). Perancangan Dan Implementasi Sistem Informasi Posyandu Terintegrasi Berbasis Android. eProceedings of Engineering. 3(3). 2 indexed citations
12.
Irawan, Budhi, et al.. (2016). Analisis Performansi Rtmp Live Streaming Server Berbasis Raspberry Pi Untuk Video Surveillance System. eProceedings of Engineering. 3(2).
13.
Irawan, Budhi, et al.. (2015). ANALISIS PENETAPAN NILAI GANTI KERUGIAN PROPERTI KORBAN LUAPAN LUMPUR LAPINDO. SHILAP Revista de lepidopterología. 1 indexed citations
14.
Irawan, Budhi, et al.. (2015). Analisis Performansi Metode Knn (k-nearest Neighbor) Untuk Pengenalan Karakter Pada Plat Nomor Kendaraan Di Raspberry Pi. eProceedings of Engineering. 2(2). 1 indexed citations
15.
Irawan, Budhi, et al.. (2015). Desain dan Implementasi Aplikasi SMS(Short Message Service) pada Android menggunakan Algoritma AES. eProceedings of Engineering. 2(2). 5 indexed citations
16.
Irawan, Budhi, et al.. (2015). ANALISIS DAN IMPLEMENTASI APLIKASI PENGENALAN SUARA MENJADI TEKS MENGGUNAKAN METODE JARINGAN SYARAF TIRUAN BACKPROPAGATION. eProceedings of Engineering. 2(2).
17.
Irawan, Budhi, et al.. (2015). Aplikasi Sistem Pemesanan Makanan Dan Minuman Berbasis Androidstudi Kasus: Kedai Soe Soe Delivery. eProceedings of Engineering. 2(2). 1 indexed citations
18.
Irawan, Budhi, et al.. (2015). Rancang Bangun Aplikasi Sistem Pakar Untuk Diagnosis Penyakit Kulit Dan Kelamin Berbasis Smartphone Android. eProceedings of Engineering. 2(2). 4 indexed citations
19.
Irawan, Budhi, et al.. (2014). Perancangan Aplikasi Speech To Text Bahasa Inggris Ke Bahasa Bali Menggunakan Pocketsphinx Berbasis Android. eProceedings of Engineering. 1(1). 1 indexed citations
20.
Irawan, Budhi, et al.. (2012). EVALUASI ALGORITMA PENCARIAN JALUR PADA APLIKASI e-iTRIP GUNA MENENTUKAN RUTE PARIWISATA KOTA BANDUNG BERBASIS PERANGKAT MOBILE ANDROID. Seminar Nasional Aplikasi Teknologi Informasi (SNATI). 123639. 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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