Engin Nas

670 citations
30 papers · 519 · h-index 12

Impact in

Papers in

Engin Nas

26 papers receiving 499 citations

Peers

Engin Nas
Comparison fields: 5 of 49
  • Mechanical Engineering 432
  • Electrical and Electronic Engineering 279
  • Biomedical Engineering 185
  • Industrial and Manufacturing Engineering 43
  • Ecological Modeling 15
Replace K. Leo Dev Wins with:
K. Leo Dev Wins India
Mehmet Boy Türkiye
Jon Ander Sarasua Spain
Nivaldo Lemos Coppini Brazil
Asit Kumar Parida India
Ravi Shankar Anand India
Ízaro Ayesta Spain
Walid Jomaa Canada
W. Li United States
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Citations per field
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Citations per year

Countries citing papers authored by Engin Nas

Since Specialization
Citations

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

Fields of papers citing papers by Engin Nas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Engin Nas, 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 Engin Nas Line = papers co-authored together Engin Nas links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019147
2 201971
3 202262
4 202134
5 201834
6 201726
7 202025
8 202017
9 202017
10 202416
11 201815
12 201511
13 20186
14 20245
15 20255
16 20235
17 20124
18 20214
19 20253
20 20203

About Engin Nas

Engin Nas is a scholar working on Mechanical Engineering, Electrical and Electronic Engineering, Biomedical Engineering, Materials Chemistry and Computational Mechanics, having authored 30 papers that have together received 519 indexed citations. Recurring topics across this work include Advanced machining processes and optimization (19 papers), Advanced Machining and Optimization Techniques (13 papers), Advanced Surface Polishing Techniques (10 papers), Metal Alloys Wear and Properties (4 papers), Aluminum Alloys Composites Properties (3 papers), Advanced materials and composites (3 papers), Laser Material Processing Techniques (2 papers) and Injection Molding Process and Properties (2 papers). The work is most often cited by research in Mechanical Engineering (432 citations), Electrical and Electronic Engineering (279 citations), Biomedical Engineering (185 citations), Industrial and Manufacturing Engineering (43 citations) and Ecological Modeling (15 citations). Engin Nas has collaborated with scholars based in Türkiye and Canada. Frequent co-authors include Fuat Kara, Mustafa Ayyıldız, Nursel Altan Özbek, Hasan Gökkaya, Burak Öztürk, Onur Özbek, Sıtkı Akıncıoğlu, Gökhan Sur, Halil Demir and Gürcan Samtaş. Their work appears in journals such as Surface Review and Letters, Ironmaking & Steelmaking Processes Products and Applications, Journal of Materials Research and Technology, Tribology International and International Journal of Mechanical Sciences.

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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