Edi Winarko

1.1k total citations
106 papers, 704 citations indexed

About

Edi Winarko is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Edi Winarko has authored 106 papers receiving a total of 704 indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Artificial Intelligence, 58 papers in Information Systems and 13 papers in Computer Networks and Communications. Recurrent topics in Edi Winarko's work include Data Mining and Machine Learning Applications (28 papers), Multimedia Learning Systems (14 papers) and Edcuational Technology Systems (13 papers). Edi Winarko is often cited by papers focused on Data Mining and Machine Learning Applications (28 papers), Multimedia Learning Systems (14 papers) and Edcuational Technology Systems (13 papers). Edi Winarko collaborates with scholars based in Indonesia, Azerbaijan and Australia. Edi Winarko's co-authors include John F. Roddick, Retantyo Wardoyo, Arif Nurwidyantoro, Reza Pulungan, Agus Harjoko, Edy Irwansyah, Edhy Sutanta, Khabib Mustofa, Edy Winarno and Aniati Murni Arymurthy and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Knowledge and Data Engineering and Knowledge-Based Systems.

In The Last Decade

Edi Winarko

98 papers receiving 657 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Edi Winarko Indonesia 13 443 357 107 62 55 106 704
Yanchang Zhao Australia 17 372 0.8× 356 1.0× 134 1.3× 66 1.1× 90 1.6× 44 699
Alejandro Correa Bahnsen Luxembourg 11 305 0.7× 705 2.0× 119 1.1× 46 0.7× 96 1.7× 13 892
Şule Gündüz Öğüdücü Türkiye 17 222 0.5× 309 0.9× 95 0.9× 83 1.3× 95 1.7× 58 804
Toshihiro Kamishima Japan 12 304 0.7× 377 1.1× 70 0.7× 79 1.3× 35 0.6× 39 733
Corinna Breitinger Germany 12 526 1.2× 509 1.4× 36 0.3× 123 2.0× 67 1.2× 26 884
Anthony J.T. Lee Taiwan 16 282 0.6× 200 0.6× 180 1.7× 100 1.6× 64 1.2× 33 622
Álvaro Tejeda-Lorente Spain 11 338 0.8× 256 0.7× 46 0.4× 87 1.4× 69 1.3× 22 569
Tomasz Kajdanowicz Poland 17 189 0.4× 424 1.2× 36 0.3× 97 1.6× 58 1.1× 54 863
Ahmad Baraani-Dastjerdi Iran 13 168 0.4× 256 0.7× 42 0.4× 32 0.5× 89 1.6× 52 544
Eric J. Glover United States 9 441 1.0× 276 0.8× 84 0.8× 58 0.9× 138 2.5× 12 744

Countries citing papers authored by Edi Winarko

Since Specialization
Citations

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

Fields of papers citing papers by Edi Winarko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Edi Winarko

This figure shows the co-authorship network connecting the top 25 collaborators of Edi Winarko. A scholar is included among the top collaborators of Edi Winarko 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 Edi Winarko. Edi Winarko 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.
Winarko, Edi, et al.. (2022). GN-PPN: Parallel Girvan-Newman-Based Algorithm to Detect Communities in Graph with Positive and Negative Weights. International journal of intelligent engineering and systems. 15(6). 273–282. 1 indexed citations
2.
Winarko, Edi, et al.. (2022). A hybrid recommender system based on customer behavior and transaction data using generalized sequential pattern algorithm. Bulletin of Electrical Engineering and Informatics. 11(6). 3422–3432. 1 indexed citations
3.
Winarko, Edi, et al.. (2022). Context-Aware Recommendation System Survey: Recommendation When Adding Contextual Information. 791. 7–13. 2 indexed citations
4.
Winarko, Edi, et al.. (2017). Performance Analysis of Molecular Complex Detection in Social Network Datasets. International Journal of Computer Applications. 175(4). 10–15. 1 indexed citations
5.
Winarko, Edi, et al.. (2017). ANALISIS SENTIMEN DAN KLASIFIKASI KOMENTAR MAHASISWA PADA SISTEM EVALUASI PEMBELAJARAN MENGGUNAKAN KOMBINASI KNN BERBASIS COSINE SIMILARITY DAN SUPERVISED MODEL. 9 indexed citations
6.
Ashari, Ahmad, et al.. (2017). A Model for Forecasting the Number of Cases and Distribution Pattern of Dengue Hemorrhagic Fever in Indonesia. International Journal of Advanced Computer Science and Applications. 8(11). 5 indexed citations
7.
Winarko, Edi, et al.. (2017). Recognizing the sarcastic statement on WhatsApp Group with Indonesian language text. 1–6. 8 indexed citations
8.
Winarko, Edi, et al.. (2016). EKSTRAKSI CIRI DAN KLASIFIKASI DATA EKG MULTIVARIATE TIME SERIES. 3(1). 21–31. 1 indexed citations
9.
Winarno, Edy, Agus Harjoko, Aniati Murni Arymurthy, & Edi Winarko. (2016). Face Recognition Based on Symmetrical Half-Join Method using Stereo Vision Camera. International Journal of Electrical and Computer Engineering (IJECE). 6(6). 2818–2818. 6 indexed citations
10.
Sutanta, Edhy, Retantyo Wardoyo, Khabib Mustofa, & Edi Winarko. (2016). Survey: Models and Prototypes of Schema Matching. International Journal of Electrical and Computer Engineering (IJECE). 6(3). 1011–1011. 4 indexed citations
11.
Henderi, Henderi & Edi Winarko. (2015). RANCANGAN SISTEM DATA WAREHOUSE EVALUASI KINERJA. SEMNASTEKNOMEDIA ONLINE. 3(1). 2 indexed citations
12.
Sutanta, Edhy, Retantyo Wardoyo, Khabib Mustofa, & Edi Winarko. (2015). KAJIAN MODEL DAN PROTOTIPE SCHEMA MATCHING (Studi untuk Menemukan Peluang Pengembangan Model dan Prototipe Baru). Seminar Nasional Aplikasi Teknologi Informasi (SNATI). 1(1). 111859. 1 indexed citations
13.
Winarko, Edi, et al.. (2015). PENGGUNAAN KNN (K-NEARST NEIGHBOR) UNTUK KLASIFIKASI TEKS BERITA YANG TAK-TERKELOMPOKKAN PADA SAAT PENGKLASTERAN OLEH STC (SUFFIX TREE CLUSTERING). 9(1). 1 indexed citations
14.
Winarko, Edi, et al.. (2013). Review on Data Mining Methods for Tuberculosis Diagnosis. 2013. 9 indexed citations
15.
Winarko, Edi, et al.. (2013). Klasifikasi Posting Twitter Kemacetan Lalu Lintas Kota Bandung Menggunakan Naive Bayesian Classification. SHILAP Revista de lepidopterología. 6(1). 24 indexed citations
16.
Winarko, Edi, et al.. (2013). Design And Implementation of Document Similarity Search System For WEB-Based Medical Journal Management. SHILAP Revista de lepidopterología. 5(2). 2 indexed citations
17.
Winarko, Edi, et al.. (2012). IMPLEMENTASI SKEMA STEGANOGRAFI DENGAN METODE SELECT LEAST SIGNIFICANT BITS (SLSB) PADA PESAN TERENKRIPSI UNTUK PENGIRIMAN MMS. Seminar Nasional Informatika (SEMNASIF). 1(2). 1 indexed citations
18.
Irwansyah, Edy & Edi Winarko. (2012). ZONASI DAERAH BAHAYA KEGEMPAAN DENGAN PENDEKATAN PEAK GROUND ACCELERATION (PGA). Seminar Nasional Informatika (SEMNASIF). 1(5). 3 indexed citations
19.
Prasetyo, Sri Yulianto Joko, Subanar Subanar, Edi Winarko, & Budi Setiadi Daryono. (2012). Endemic Outbreaks of Brown Planthopper (Nilaparvata lugensStal.) in Indonesia using Exploratory Spatial Data Analysis. 6 indexed citations
20.
Winarko, Edi, et al.. (2010). A reputation based trust model to seek judgment in participatory group decision making. 1–7. 6 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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