Dwi Ispriyanti

400 total citations
100 papers, 234 citations indexed

About

Dwi Ispriyanti is a scholar working on Information Systems, Artificial Intelligence and Strategy and Management. According to data from OpenAlex, Dwi Ispriyanti has authored 100 papers receiving a total of 234 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Information Systems, 31 papers in Artificial Intelligence and 28 papers in Strategy and Management. Recurrent topics in Dwi Ispriyanti's work include Data Mining and Machine Learning Applications (47 papers), Management and Optimization Techniques (28 papers) and Economic Growth and Fiscal Policies (23 papers). Dwi Ispriyanti is often cited by papers focused on Data Mining and Machine Learning Applications (47 papers), Management and Optimization Techniques (28 papers) and Economic Growth and Fiscal Policies (23 papers). Dwi Ispriyanti collaborates with scholars based in Indonesia and Belgium. Dwi Ispriyanti's co-authors include Abdul Hoyyi, Alan Prahutama, Budi Warsito, Hasbi Yasin, Sugito Sugito, Sudarno Sudarno, Agus Rusgiyono, Sugito Sugito, Arief Rachman Hakim and Mustafid Mustafid and has published in prestigious journals such as SHILAP Revista de lepidopterología, Mathematika and Advanced Science Letters.

In The Last Decade

Dwi Ispriyanti

70 papers receiving 215 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dwi Ispriyanti Indonesia 8 112 68 43 30 23 100 234
Abdul Hoyyi Indonesia 8 95 0.8× 34 0.5× 58 1.3× 52 1.7× 18 0.8× 92 256
Alan Prahutama Indonesia 11 139 1.2× 78 1.1× 74 1.7× 38 1.3× 33 1.4× 103 376
Vita Ratnasari Indonesia 10 83 0.7× 47 0.7× 80 1.9× 19 0.6× 27 1.2× 91 359
Agus Rusgiyono Indonesia 8 68 0.6× 33 0.5× 62 1.4× 39 1.3× 9 0.4× 83 229
Gita Widi Bhawika Indonesia 11 205 1.8× 133 2.0× 12 0.3× 18 0.6× 59 2.6× 38 339
Arief Rachman Hakim Indonesia 10 74 0.7× 19 0.3× 144 3.3× 10 0.3× 24 1.0× 63 260
Syaharuddin Syaharuddin Indonesia 10 153 1.4× 39 0.6× 19 0.4× 15 0.5× 16 0.7× 80 320
Dito Putro Utomo Indonesia 12 322 2.9× 236 3.5× 8 0.2× 102 3.4× 8 0.3× 43 435
Adi Nugroho Indonesia 7 146 1.3× 112 1.6× 6 0.1× 25 0.8× 14 0.6× 55 246
Rahmadya Trias Handayanto Indonesia 8 109 1.0× 67 1.0× 11 0.3× 4 0.1× 63 2.7× 46 293

Countries citing papers authored by Dwi Ispriyanti

Since Specialization
Citations

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

Fields of papers citing papers by Dwi Ispriyanti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dwi Ispriyanti

This figure shows the co-authorship network connecting the top 25 collaborators of Dwi Ispriyanti. A scholar is included among the top collaborators of Dwi Ispriyanti 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 Dwi Ispriyanti. Dwi Ispriyanti 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
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Ispriyanti, Dwi, et al.. (2017). MIXED GEOGRAPHICALLY WEIGHTED REGRESSION USING ADAPTIVE BANDWIDTH TO MODELING OF AIR POLLUTER STANDARD INDEX. ARPN Journal of Engineering and Applied Sciences. 4477–4482. 5 indexed citations
3.
Yasin, Hasbi, Budi Warsito, Dwi Ispriyanti, & Abdul Hoyyi. (2017). Komputasi Metode Mixed Geographically Weighted Regression Menggunakan Graphical User Interface (GUI). 6(1). 305–311. 1 indexed citations
4.
Ispriyanti, Dwi, et al.. (2016). Pendugaan Area Kecil Terhadap Pengeluaran Per Kapita Di Kabupaten Sragen Dengan Pendekatan Kernel. Jurnal Gaussian. 5(1). 71–80.
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Sugito, Sugito, et al.. (2015). PERAMALAN INDEKS HARGA KONSUMEN MENGGUNAKAN MODEL INTERVENSI FUNGSI STEP. Jurnal Gaussian. 4(4). 795–804.
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Ispriyanti, Dwi, et al.. (2015). PERBANDINGAN METODE KLASIFIKASI REGRESI LOGISTIK BINER DAN NAIVE BAYES PADA STATUS PENGGUNA KB DI KOTA TEGAL TAHUN 2014. Jurnal Gaussian. 4(2). 365–374. 1 indexed citations
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Ispriyanti, Dwi, et al.. (2015). KLASIFIKASI LAMA STUDI MAHASISWA FSM UNIVERSITAS DIPONEGORO MENGGUNAKAN REGRESI LOGISTIK BINER DAN SUPPORT VECTOR MACHINE (SVM). Jurnal Gaussian. 4(1). 123–132. 3 indexed citations
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Ispriyanti, Dwi, et al.. (2013). PENGAMBILAN SAMPEL BERDASARKAN PERINGKAT PADA ANALISIS REGRESI LINIER SEDERHANA. Jurnal Gaussian. 2(3). 209–218. 4 indexed citations
16.
Ispriyanti, Dwi, et al.. (2013). REGRESI ROBUST MM-ESTIMATOR UNTUK PENANGANAN PENCILAN PADA REGRESI LINIER BERGANDA. Jurnal Gaussian. 2(4). 395–404. 2 indexed citations
17.
Warsito, Budi & Dwi Ispriyanti. (2012). UJI LINEARITAS DATA TIME SERIES DENGAN RESET TEST. Mathematika. 7(3). 117191. 1 indexed citations
18.
Ispriyanti, Dwi, et al.. (2012). PENENTUAN CADANGAN DISESUAIKAN DENGAN METODE ILLINOIS PADA ASURANSI JIWA ENDOWMEN SEMIKONTINU. Jurnal Gaussian. 1(1). 147–158.
19.
Warsito, Budi, et al.. (2008). CLUSTERING DATA PENCEMARAN UDARA SEKTOR INDUSTRI DI JAWA TENGAH DENGAN KOHONEN NEURAL NETWORK. 4(1). 17–22. 2 indexed citations
20.
Ispriyanti, Dwi. (2004). Pemodelan Statistika Dengan Transformasi Box Cox. Mathematika. 7(3). 113569. 12 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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