Wiwik Anggraeni

581 citations
70 papers · 363 indexed · h-index 10
Topics
Data Mining and Machine Learning Applications (18 papers)Edcuational Technology Systems (9 papers)Forecasting Techniques and Applications (8 papers)
Partner nations
IndonesiaCanada

In The Last Decade

Wiwik Anggraeni

56 papers receiving 340 citations

Peers

Wiwik Anggraeni
Comparison fields: 5 of 92
  • Information Systems 85
  • Artificial Intelligence 75
  • Management Science and Operations Research 68
  • Economics and Econometrics 46
  • Electrical and Electronic Engineering 38
Replace Adrián Ramírez–Nafarrate with:
Adrián Ramírez–Nafarrate Mexico
Dewi Retno Sari Saputro Indonesia
Tiziana Ciano Italy
Hamsa Bastani United States
Levent Erişkin Türkiye
Chunbing Bao China
Toni Bakhtiar Indonesia
H. H. Chang Taiwan
Pingfan Xia China
Wiwik Anggraeni relative to Adrián Ramírez–Nafarrate Mexico Adrián Ramírez–Nafarrate's profile →
Citations per field
00.5×1.7×
Adrián Ramírez–Nafarrate · 1×
Citations per year

Countries citing papers authored by Wiwik Anggraeni

Since Specialization
Citations

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

Fields of papers citing papers by Wiwik Anggraeni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wiwik Anggraeni

This figure shows the co-authorship network connecting the top 25 collaborators of Wiwik Anggraeni. A scholar is included among the top collaborators of Wiwik Anggraeni 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 Wiwik Anggraeni. Wiwik Anggraeni 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
1 0
2 2
3 6
4 0
5 0
6 0
7 19
8 6
9 6
10 1
11 1
12 11
13
Visualization of Intelligent System using Decision Tree and Fuzzy Clustering for Heart Disease Early Detection
1
14 1
15 10
16 3
17 12
18 3
19 4
20
PENERAPAN ROUGH SET QUANTITATIVE MEASURE PADA APLIKASI PENDUKUNG KEPUTUSAN
4

About Wiwik Anggraeni

Wiwik Anggraeni is a scholar working on Information Systems, Modeling and Simulation and Management Science and Operations Research, having authored 70 papers that have together received 363 indexed citations. Recurring topics across this work include Data Mining and Machine Learning Applications (18 papers), Edcuational Technology Systems (9 papers) and Forecasting Techniques and Applications (8 papers). The work is most often cited by research in Modeling and Simulation (27 citations), Management Science and Operations Research (68 citations) and Information Systems (85 citations). Wiwik Anggraeni has collaborated with scholars based in Indonesia and Canada. Frequent co-authors include Mauridhi Hery Purnomo, Eko Mulyanto Yuniarno, Surya Sumpeno, Reza Fuad Rachmadi, Arif Djunaidy, Joan Santoso, Apol Pribadi Subriadi, Lita Heni Kusumawardani, Diana Purwitasari and Eko Setiawan. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and International journal of intelligent engineering and systems.

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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