Dedy Ariansyah

575 citations
26 papers · 398 · h-index 11

Impact in

Papers in

Dedy Ariansyah

26 papers receiving 382 citations

Peers

Dedy Ariansyah
Comparison fields: 5 of 67
  • Industrial and Manufacturing Engineering 213
  • Human-Computer Interaction 79
  • Medical Laboratory Technology 10
  • Safety, Risk, Reliability and Quality 58
  • Computer Vision and Pattern Recognition 105
Replace Sotiris Aivaliotis with:
Sotiris Aivaliotis Greece
Jie Geng China
Sakari Pieskä Finland
Jan Zenisek Austria
Vincent Havard France
Luciano Di Donato Italy
Bruno Simões Spain
Abdullah Mohammed Sweden
Alessandra Ferraro Italy
Marina Monti Italy
Dedy Ariansyah relative to Sotiris Aivaliotis Greece Sotiris Aivaliotis's profile →
Citations per field
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Sotiris Aivaliotis · 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 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202079
2 202173
3 202138
4 202132
5 201922
6 202419
7 202315
8 202114
9 202012
10 201311
11 202310
12 20219
13 20209
14 20179
15 20188
16 20226
17 20206
18 20236
19 20235
20 20234

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 26 papers that have together received 398 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (9 papers), Digital Transformation in Industry (8 papers), Augmented Reality Applications (8 papers), Flexible and Reconfigurable Manufacturing Systems (5 papers), Human-Automation Interaction and Safety (5 papers), Virtual Reality Applications and Impacts (4 papers), Technology Assessment and Management (3 papers) and Traffic and Road Safety (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (213 citations), Human-Computer Interaction (79 citations), Medical Laboratory Technology (10 citations), Safety, Risk, Reliability and Quality (58 citations) and Computer Vision and Pattern Recognition (105 citations). Dedy Ariansyah has collaborated with scholars based in United Kingdom, Indonesia and Italy. Frequent co-authors include John Ahmet Erkoyuncu, Rok Vrabič, Maryam Farsi, Iñigo Fernández del Amo, Rajkumar Roy, Anne‐Marie Oostveen, Sarah Sharples, Sarah Fletcher, Iveta Eimontaite and Bens Pardamean. Their work appears in journals such as CIRP Annals, IEEE Access, CIRP journal of manufacturing science and technology, Knowledge-Based Systems and Applied Ergonomics.

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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