Anditya Arifianto

419 citations
32 papers · 298 indexed · h-index 9
Topics
Computer Science and Engineering (9 papers)Data Mining and Machine Learning Applications (8 papers)Edcuational Technology Systems (5 papers)

In The Last Decade

Anditya Arifianto

31 papers receiving 286 citations

Peers

Anditya Arifianto
Comparison fields: 5 of 88
  • Artificial Intelligence 123
  • Computer Vision and Pattern Recognition 77
  • Biomedical Engineering 45
  • Signal Processing 37
  • Information Systems 34
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Anditya Arifianto relative to S. Karpagavalli India S. Karpagavalli's profile →
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Countries citing papers authored by Anditya Arifianto

Since Specialization
Citations

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

Fields of papers citing papers by Anditya Arifianto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anditya Arifianto

This figure shows the co-authorship network connecting the top 25 collaborators of Anditya Arifianto. A scholar is included among the top collaborators of Anditya Arifianto 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 Anditya Arifianto. Anditya Arifianto 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
#WorkIndexed citations
1 2
2
Pengenalan Bentuk Tangan Dengan Convolutional Neural Network (Cnn)
5
3
Perbandingan Metode Convolutional Neural Network Pada Klasifikasi Sel Darah Putih Menggunakan Sistem Cpu Dan Gpu
2
4 17
5 4
6 17
7 1
8 5
9 53
10 35
11 8
12 5
13
Pengukuran Detak Jantung Menggunakan Metode Fotopletismograf
2
14
Multilabel Image Annotation Menggunakan Metode Convolutional Neural Network
0
15
Verifikasi Tanda Tangan Online Menggunakan Algoritma Genetika Dan Support Vector Machine
2
16 1
17
Pengenalan Wajah Menggunakan Convolutional Neural Network
10
18
Automatic Image Annotation Menggunakan Metode Speeded Up Robust Feature Dan Support Vector Machine
1
19
Analisis Dan Implementasi Algoritma Winnowing Dengan Synonym Recognition Pada Deteksi Plagiarisme Untuk Dokumen Teks Berbahasa Indonesia
5
20 2

About Anditya Arifianto

Anditya Arifianto is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems, having authored 32 papers that have together received 298 indexed citations. Recurring topics across this work include Computer Science and Engineering (9 papers), Data Mining and Machine Learning Applications (8 papers) and Edcuational Technology Systems (5 papers). The work is most often cited by research in Artificial Intelligence (123 citations), Computer Vision and Pattern Recognition (77 citations) and Signal Processing (37 citations). Anditya Arifianto has collaborated with scholars based in Indonesia, Malaysia and United Kingdom. Frequent co-authors include Suyanto Suyanto, Dewi Rahmawati, Vassilis Kodogiannis, Dedy Rahman Wijaya, Nazri Mohd Nawi, Arif Ullah, Emil R. Kaburuan, Muhammad Aamir, Imran Ahmed and Untari Novia Wisesty. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensing and Bio-Sensing Research and International Journal on Advanced Science Engineering and Information Technology.

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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