Dayalan Gunasegaram

1.3k citations
38 papers · 920 indexed · 1 hit paper · h-index 18

Dayalan Gunasegaram

38 papers receiving 894 citations

Hit Papers

Machine learning-assisted in-situ adaptive strategies for...522024202620251020304050

Peers

Dayalan Gunasegaram
Comparison fields: 5 of 77
  • Automotive Engineering 256
  • Mechanical Engineering 645
  • Industrial and Manufacturing Engineering 158
  • Aerospace Engineering 251
  • Metals and Alloys 26
Replace Silvia Martı́nez with:
Silvia Martı́nez Spain
Stefan Dietrich Germany
Yupeng Wei China
Jianming Li China
Harpreet Singh India
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Haitao Cui China
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Citations per field
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Citations per year

Countries citing papers authored by Dayalan Gunasegaram

Since Specialization
Citations

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

Fields of papers citing papers by Dayalan Gunasegaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Dayalan Gunasegaram, 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 Dayalan Gunasegaram Line = papers co-authored together Dayalan Gunasegaram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20256
2 20247
3
Machine learning-assisted in-situ adaptive strategies for the control of defects and anomalies in metal additive manufacturingbreakdown →
202452
4 202316
5 202113
6 202125
7 202122
8 202159
9 202120
10 20213
11 20208
12 201718
13 20172
14 201684
15
The role of alloy composition in the heat treatment of aluminium high pressure die castings
201310
16 20092
17 200874
18 20064
19 20002
20
Mechanism of air gap formation in commercial Al-Si alloys
20002

About Dayalan Gunasegaram

Dayalan Gunasegaram is a scholar working on Automotive Engineering, Mechanical Engineering, Aerospace Engineering, Industrial and Manufacturing Engineering and Metals and Alloys, having authored 38 papers that have together received 920 indexed citations. Recurring topics across this work include Aluminum Alloy Microstructure Properties (13 papers), Additive Manufacturing and 3D Printing Technologies (11 papers), Additive Manufacturing Materials and Processes (10 papers), Aluminum Alloys Composites Properties (8 papers), Microstructure and mechanical properties (4 papers), Materials Engineering and Processing (3 papers), Injection Molding Process and Properties (3 papers) and Metallurgy and Material Forming (3 papers). The work is most often cited by research in Automotive Engineering (256 citations), Mechanical Engineering (645 citations), Industrial and Manufacturing Engineering (158 citations), Aerospace Engineering (251 citations) and Metals and Alloys (26 citations). Dayalan Gunasegaram has collaborated with scholars based in Australia, United States and Chile. Frequent co-authors include Anthony B. Murphy, R. G. O’Donnell, Manyalibo J. Matthews, Roger Lumley, Thang Nguyen, T. DebRoy, Amanda S. Barnard, Ivan Cole, Michael D. Horne and Murali Sankar Venkatraman. Their work appears in journals such as Metals, Additive manufacturing, Metallurgical and Materials Transactions B, Metallurgical and Materials Transactions A and International Journal of Cast Metals Research.

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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