Dedy Ariansyah

531 citations
22 papers · 320 · h-index 10

Impact in

Papers in

Dedy Ariansyah

20 papers receiving 305 citations

Peers

Dedy Ariansyah
Comparison fields: 5 of 65
  • Industrial and Manufacturing Engineering 172
  • Human-Computer Interaction 63
  • Safety, Risk, Reliability and Quality 48
  • Medical Laboratory Technology 8
  • Computer Vision and Pattern Recognition 84
Replace Jie Geng with:
Jie Geng China
Sotiris Aivaliotis Greece
Sakari Pieskä Finland
Jan Zenisek Austria
Vincent Havard France
Luciano Di Donato Italy
Andrea de Giorgio Sweden
Abdullah Mohammed Sweden
Alessandra Ferraro Italy
Bruno Simões Spain
Dedy Ariansyah relative to Jie Geng China Jie Geng's profile →
Citations per field
00.5×2.9×
Jie Geng · 1×
Citations per year

Countries citing papers authored by Dedy Ariansyah

Since Specialization
Citations

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

Fields of papers citing papers by Dedy Ariansyah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Dedy Ariansyah, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Dedy Ariansyah Line = papers co-authored together Dedy Ariansyah links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202065
2 202161
3 202131
4 202130
5 201918
6 202113
7 202412
8 202311
9 202010
10 201310
11 20219
12 20178
13 20238
14 20208
15 20187
16 20235
17 20224
18 20234
19 20173
20 20203

About Dedy Ariansyah

Dedy Ariansyah is a scholar working on Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition, Safety, Risk, Reliability and Quality, Social Psychology and Human-Computer Interaction, having authored 22 papers that have together received 320 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (8 papers), Digital Transformation in Industry (7 papers), Augmented Reality Applications (6 papers), Flexible and Reconfigurable Manufacturing Systems (4 papers), Human-Automation Interaction and Safety (4 papers), Virtual Reality Applications and Impacts (3 papers), Technology Assessment and Management (3 papers) and Interactive and Immersive Displays (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (172 citations), Human-Computer Interaction (63 citations), Safety, Risk, Reliability and Quality (48 citations), Medical Laboratory Technology (8 citations) and Computer Vision and Pattern Recognition (84 citations). Dedy Ariansyah has collaborated with scholars based in United Kingdom, Indonesia and Italy. Frequent co-authors include John Ahmet Erkoyuncu, Maryam Farsi, Rok Vrabič, Iñigo Fernández del Amo, Rajkumar Roy, Sarah Sharples, Iveta Eimontaite, Sarah Fletcher, Anne‐Marie Oostveen and Andrew J. Harrison. Their work appears in journals such as IEEE Access, CIRP Annals, Scientific Reports, Advanced Engineering Informatics and Knowledge-Based 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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