Anny Yuniarti

580 citations
76 papers · 396 indexed · h-index 11
Topics
Edcuational Technology Systems (11 papers)Computer Science and Engineering (11 papers)Data Mining and Machine Learning Applications (8 papers)
Journals
SHILAP Revista de lepidopterologíaIEEE AccessApplied Soft Computing
Partner nations
IndonesiaJapan

In The Last Decade

Anny Yuniarti

69 papers receiving 373 citations

Peers

Anny Yuniarti
Comparison fields: 5 of 90
  • Artificial Intelligence 149
  • Computer Vision and Pattern Recognition 120
  • Information Systems 89
  • Oral Surgery 43
  • Biomedical Engineering 36
Replace Sarifuddin Madenda with:
Sarifuddin Madenda Indonesia
Eri Prasetyo Wibowo Indonesia
Hyung Il Koo South Korea
Darlis Herumurti Indonesia
Durmuş Özdemir Türkiye
Flávio de Barros Vidal Brazil
Daniel Cagigas-Muñiz Spain
M. Rahmat Widyanto Indonesia
Mohammad Faidzul Nasrudin Malaysia
Juan Tapia Germany
Anny Yuniarti relative to Sarifuddin Madenda Indonesia Sarifuddin Madenda's profile →
Citations per field
00.5×1.5×2.3×
Sarifuddin Madenda · 1×
Citations per year

Countries citing papers authored by Anny Yuniarti

Since Specialization
Citations

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

Fields of papers citing papers by Anny Yuniarti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anny Yuniarti

This figure shows the co-authorship network connecting the top 25 collaborators of Anny Yuniarti. A scholar is included among the top collaborators of Anny Yuniarti 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 Anny Yuniarti. Anny Yuniarti 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
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5 1
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8 0
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13 54
14 7
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PENDEKATAN POSITIONAL TEXT GRAPH UNTUK PEMILIHAN KALIMAT REPRESENTATIF CLUSTER PADA PERINGKASAN MULTI-DOKUMEN
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APLIKASI KOMPRESI CITRA BERBASIS ROUGH FUZZY SET
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About Anny Yuniarti

Anny Yuniarti is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Computer Graphics and Computer-Aided Design, having authored 76 papers that have together received 396 indexed citations. Recurring topics across this work include Edcuational Technology Systems (11 papers), Computer Science and Engineering (11 papers) and Data Mining and Machine Learning Applications (8 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (120 citations), Oral Surgery (43 citations) and Human-Computer Interaction (28 citations). Anny Yuniarti has collaborated with scholars based in Indonesia and Japan. Frequent co-authors include Muhammad Ali Fauzi, Agus Zainal Arifin, Nanik Suciati, Darlis Herumurti, Chastine Fatichah, Akira Asano, Heliza Rahmania Hatta, Daniel Siahaan, Basuki Rahmat and Takashi Nakamoto. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Applied Soft Computing.

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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