Agus Buono

444 total citations
90 papers, 291 citations indexed

About

Agus Buono is a scholar working on Artificial Intelligence, Information Systems and Plant Science. According to data from OpenAlex, Agus Buono has authored 90 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 24 papers in Information Systems and 10 papers in Plant Science. Recurrent topics in Agus Buono's work include Data Mining and Machine Learning Applications (19 papers), Computer Science and Engineering (17 papers) and Multimedia Learning Systems (8 papers). Agus Buono is often cited by papers focused on Data Mining and Machine Learning Applications (19 papers), Computer Science and Engineering (17 papers) and Multimedia Learning Systems (8 papers). Agus Buono collaborates with scholars based in Indonesia, Hungary and Malaysia. Agus Buono's co-authors include Irman Hermadi, Wulandari Wulandari, Akhmad Faqih, Firdaus Firdaus, Rizaldi Boer, Mustakim Mustakim, Yandra Arkeman, Imas Sukaesih Sitanggang, Rahmat Hidayat and Sri Nurdiati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Geophysics and Remote Sensing Applications Society and Environment.

In The Last Decade

Agus Buono

74 papers receiving 264 citations

Peers

Agus Buono
Comparison fields: 5 of 76
  • Artificial Intelligence 79
  • Information Systems 66
  • Plant Science 42
  • Control and Systems Engineering 27
  • Ecology 25
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Citations per field, relative to Agus Buono
Agus Buono · 1×
Citations per year, relative to Agus Buono
Agus Buono · 1×

Countries citing papers authored by Agus Buono

Since Specialization
Citations

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

Fields of papers citing papers by Agus Buono

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agus Buono

This figure shows the co-authorship network connecting the top 25 collaborators of Agus Buono. A scholar is included among the top collaborators of Agus Buono 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 Agus Buono. Agus Buono 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
# Work Indexed citations
1 1
2 1
3 1
4 1
5 0
6 3
7 0
8 3
9
16
10 4
11 1
12 2
13
A System Dynamics Simulation of Rice Agroindustry Development by Divestment Pattern for Increasing Rice Production and Farmer Income
3
14 2
15 3
16
PERAMALAN AWAL MUSIM HUJAN MENGGUNAKAN JARINGAN SYARAF TIRUAN BACKPROPAGATION LEVENBERG-MARQUARDT
4
17
PEMODELAN JARINGAN SYARAF TIRUAN UNTUK PREDIKSI PANJANG MUSIM HUJAN BERDASAR SEA SURFACE TEMPE RATURE
0
18
IDENTIFIKASI CAMPURAN NADA PADA SUARA PIANO MENGGUNAKAN CODEBOOK
3
19
Pendeteksian Kerapatan dan Jenis Gulma dengan Metode Bayes dan Analisis Dimensi Fraktal untuk Pengendalian Gulma Secara Selektif
3
20 4

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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