Dedy Dwi Prastyo

1.3k citations
124 papers · 746 indexed · h-index 14
Topics
Advanced Statistical Methods and Models (23 papers)Forecasting Techniques and Applications (23 papers)Stock Market Forecasting Methods (21 papers)
Journals
SHILAP Revista de lepidopterologíaBioresource TechnologyScientific Reports

In The Last Decade

Dedy Dwi Prastyo

106 papers receiving 721 citations

Peers

Dedy Dwi Prastyo
Comparison fields: 5 of 107
  • Statistics, Probability and Uncertainty 150
  • Statistics and Probability 141
  • Control and Systems Engineering 135
  • Management Science and Operations Research 120
  • Artificial Intelligence 101
Replace Sangeeta Pant with:
Sangeeta Pant India
J. Carlos Garcı́a-Dı́az Spain
Wafik Hachicha Tunisia
Dipak Kumar Jana India
Hélène Fargier France
Liming Xiao China
Akbar Esfahanipour Iran
Longsheng Cheng China
Thao Nguyen‐Trang Vietnam
Mehdi Rajabi Asadabadi Australia
Dedy Dwi Prastyo relative to Sangeeta Pant India Sangeeta Pant's profile →
Citations per field
00.5×3.3×
Sangeeta Pant · 1×
Citations per year

Countries citing papers authored by Dedy Dwi Prastyo

Since Specialization
Citations

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

Fields of papers citing papers by Dedy Dwi Prastyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dedy Dwi Prastyo

This figure shows the co-authorship network connecting the top 25 collaborators of Dedy Dwi Prastyo. A scholar is included among the top collaborators of Dedy Dwi Prastyo 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 Dedy Dwi Prastyo. Dedy Dwi Prastyo 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 1
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4 0
5 0
6 0
7 1
8 3
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10 5
11 1
12 4
13 3
14 8
15 3
16 17
17 16
18 35
19 8
20 3

About Dedy Dwi Prastyo

Dedy Dwi Prastyo is a scholar working on Statistics and Probability, Management Science and Operations Research and Statistics, Probability and Uncertainty, having authored 124 papers that have together received 746 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (23 papers), Forecasting Techniques and Applications (23 papers) and Stock Market Forecasting Methods (21 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (150 citations), Statistics and Probability (141 citations) and Management Science and Operations Research (120 citations). Dedy Dwi Prastyo has collaborated with scholars based in Indonesia, Malaysia and United States. Frequent co-authors include Suhartono Suhartono, Muhammad Mashuri, Muhammad Ahsan, Heri Kuswanto, Muhammad Hisyam Lee, Nur Syamimi Zaidi, Achmad Syafiuddin, Ahmad Beng Hong Kueh, Raj Boopathy and Purhadi Purhadi. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioresource Technology and Scientific Reports.

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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