Yuliant Sibaroni

544 total citations
99 papers, 334 citations indexed

About

Yuliant Sibaroni is a scholar working on Information Systems, Artificial Intelligence and Sociology and Political Science. According to data from OpenAlex, Yuliant Sibaroni has authored 99 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Information Systems, 61 papers in Artificial Intelligence and 15 papers in Sociology and Political Science. Recurrent topics in Yuliant Sibaroni's work include Data Mining and Machine Learning Applications (56 papers), Multimedia Learning Systems (34 papers) and Information Retrieval and Data Mining (28 papers). Yuliant Sibaroni is often cited by papers focused on Data Mining and Machine Learning Applications (56 papers), Multimedia Learning Systems (34 papers) and Information Retrieval and Data Mining (28 papers). Yuliant Sibaroni collaborates with scholars based in Indonesia and United States. Yuliant Sibaroni's co-authors include Said Al Faraby, Z. K. A. Baizal, Ade Romadhony, Masayu Leylia Khodra, Dwi H. Widyantoro, Adiwijaya Adiwijaya, Erwin Budi Setiawan, Mohamad Syahrul Mubarok, Mohamad Nur Heriawan and Kemas Muslim Lhaksmana and has published in prestigious journals such as SHILAP Revista de lepidopterología, Jurnal Teknologi and Journal of Physics Conference Series.

In The Last Decade

Yuliant Sibaroni

80 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuliant Sibaroni Indonesia 10 191 178 48 15 14 99 334
Dinar Ajeng Kristiyanti Indonesia 10 173 0.9× 167 0.9× 27 0.6× 5 0.3× 10 0.7× 46 292
Silmi Fauziati Indonesia 10 158 0.8× 106 0.6× 34 0.7× 18 1.2× 3 0.2× 55 315
Mochamad Wahyudi Indonesia 11 157 0.8× 177 1.0× 18 0.4× 7 0.5× 5 0.4× 68 337
Yufis Azhar Indonesia 10 195 1.0× 188 1.1× 12 0.3× 57 3.8× 6 0.4× 94 376
Anggit Dwi Hartanto Indonesia 9 161 0.8× 146 0.8× 18 0.4× 6 0.4× 4 0.3× 87 270
Shrikant Mulik India 7 50 0.3× 177 1.0× 28 0.6× 10 0.7× 15 1.1× 8 348
Rahmad Kurniawan Indonesia 8 83 0.4× 94 0.5× 44 0.9× 8 0.5× 3 0.2× 77 242
Dwi Kartini Indonesia 7 75 0.4× 78 0.4× 50 1.0× 6 0.4× 7 0.5× 71 259
Kamal Eddine El Kadiri Morocco 7 174 0.9× 148 0.8× 45 0.9× 13 0.9× 3 0.2× 18 339
Devi Fitrianah Indonesia 11 124 0.6× 181 1.0× 11 0.2× 11 0.7× 5 0.4× 60 322

Countries citing papers authored by Yuliant Sibaroni

Since Specialization
Citations

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

Fields of papers citing papers by Yuliant Sibaroni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuliant Sibaroni

This figure shows the co-authorship network connecting the top 25 collaborators of Yuliant Sibaroni. A scholar is included among the top collaborators of Yuliant Sibaroni 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 Yuliant Sibaroni. Yuliant Sibaroni 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.
Sibaroni, Yuliant, et al.. (2023). Analysis Content Type and Emotion of the Presidential Election Users Tweets using Agglomerative Hierarchical Clustering. SinkrOn. 8(3). 1230–1237. 2 indexed citations
2.
Sibaroni, Yuliant, et al.. (2023). Clustering Content Types and User Roles Based on Tweet Text Using K-Medoids Partitioning Based. Journal of Computer System and Informatics (JoSYC). 4(4). 749–756. 2 indexed citations
4.
Sibaroni, Yuliant, et al.. (2023). Fake News Detection: Hybrid Deep Supervised Learning Approach. 44. 414–419. 1 indexed citations
5.
Sibaroni, Yuliant, et al.. (2022). PREDICTION AND MAPPING RAINFALL CLASSIFICATION USING NAIVE BAYES AND SIMPLE KRIGING. JIPI (Jurnal Ilmiah Penelitian dan Pembelajaran Informatika). 7(4). 1244–1253. 4 indexed citations
6.
Sibaroni, Yuliant, et al.. (2022). Hate Speech Hashtag Classification on Twitter Using the Hybrid Classifier Method. JURIKOM (Jurnal Riset Komputer). 9(4). 828–828. 2 indexed citations
7.
Sibaroni, Yuliant, et al.. (2022). Land Price Classification Map in Jakarta Using Random Forest and Ordinary Kriging. Building of Informatics Technology and Science (BITS). 4(2). 1 indexed citations
8.
Sibaroni, Yuliant, et al.. (2022). Analisis Trending Topik Twitter dengan Fitur Ekspansi FastText Menggunakan Metode Logistic Regression. JURIKOM (Jurnal Riset Komputer). 9(1). 1–1. 9 indexed citations
9.
Sibaroni, Yuliant, et al.. (2022). Prediction Map of Rainfall Classification Using Random Forest and Inverse Distance Weighted (IDW). Building of Informatics Technology and Science (BITS). 4(2). 6 indexed citations
10.
Sibaroni, Yuliant, et al.. (2020). Analisis Sentimen Data Tweet Menggunakan Model Jaringan Saraf Tiruan Dengan Pembobotan Delta Tf-idf. eProceedings of Engineering. 7(2). 4 indexed citations
12.
Sibaroni, Yuliant, et al.. (2020). Indonesian News Classification using Weighted K-Nearest Neighbour. eProceedings of Engineering. 7(2). 1 indexed citations
13.
Sibaroni, Yuliant, et al.. (2020). Klasifikasi Data Tweet dengan Menggunakan Metode Klasifikasi Multi-Class Support Vector Machine (SVM)(Studi Kasus : PT.KAI). eProceedings of Engineering. 7(2). 3 indexed citations
14.
Sibaroni, Yuliant, et al.. (2019). Analisis Sentimen Masyarakat Terhadap Kinerja Presiden Indonesia Dalam Aspek Ekonomi, Kesehatan, dan Pembangunan Berdasarkan Opini dari Twitter. eProceedings of Engineering. 6(2). 2 indexed citations
15.
Sibaroni, Yuliant, et al.. (2019). Klasifikasi Sentiment Analysis pada Review Buku Novel Berbahasa Inggris dengan Menggunakan Metode Support Vector Machine (SVM). eProceedings of Engineering. 6(3). 6 indexed citations
16.
Sibaroni, Yuliant, et al.. (2016). Penentuan Fitur Supervised Learning dalam Identifikasi Kalimat Sitasi pada Makalah Ilmiah. eProceedings of Engineering. 3(1). 1 indexed citations
17.
Sibaroni, Yuliant, et al.. (2015). Aplikasi Pelayanan Administrasi Penduduk Desa Berbasis Web Programing. Seminar Nasional Aplikasi Teknologi Informasi (SNATI). 1(1). 112123. 3 indexed citations
18.
Sibaroni, Yuliant, et al.. (2015). Kombinasi Algoritma Agglomerative Clustering Dan K-Means Untuk Segmentasi Pengunjung Website. eProceedings of Engineering. 2(1). 2 indexed citations
19.
Wilson, Andrew Gordon, et al.. (2015). Analisis Penyelesaian Traveling Salesman Problem dengan Metode Brute Force menggunakan Graphic Processing Unit. eProceedings of Engineering. 2(1). 3 indexed citations
20.
Sibaroni, Yuliant, et al.. (2015). IMPLEMENTASI KLASIFIKASI DECISION TREE DENGAN ALGORITMA C4.5 DALAM PENGAMBILAN KEPUTUSAN PERMOHONAN KREDIT OLEH DEBITUR(STUDI KASUS: BANK PASAR DAERAH ISTIMEWA YOGYAKARTA). eProceedings of Engineering. 2(1). 3 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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