Roberto Spina

50 papers receiving 575 citations

Peers

Roberto Spina
Comparison fields: 5 of 67
  • Automotive Engineering 168
  • Industrial and Manufacturing Engineering 136
  • Polymers and Plastics 150
  • Mechanical Engineering 369
  • Fluid Flow and Transfer Processes 33
Replace Chao‐Tsai Huang with:
Chao‐Tsai Huang Taiwan
D.F. Baldwin United States
Michael Johlitz Germany
Mohsen Mirkhalaf Sweden
Huamin Zhou China
Chia‐Hsiang Hsu Taiwan
Tamás Mankovits Hungary
Fawzi Belblidia United Kingdom
Khalid Saeed Pakistan
Roberto Spina relative to Chao‐Tsai Huang Taiwan Chao‐Tsai Huang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Roberto Spina

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Spina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200749
2 201635
3 200435
4 201232
5 200530
6 201530
7 201629
8 201429
9 201926
10 200326
11 200421
12 201721
13 200719
14 201517
15 201816
16
OPTIMIZATION OF INJECTION MOLDED PARTS BY USING ANN-PSO APPROACH
200616
17 201616
18 202415
19 200312
20 202410

About Roberto Spina

Roberto Spina is a scholar working on Mechanical Engineering, Automotive Engineering, Polymers and Plastics, Industrial and Manufacturing Engineering and Mechanics of Materials, having authored 53 papers that have together received 592 indexed citations. Recurring topics across this work include Injection Molding Process and Properties (23 papers), Additive Manufacturing and 3D Printing Technologies (23 papers), Polymer crystallization and properties (15 papers), Manufacturing Process and Optimization (13 papers), Advanced machining processes and optimization (8 papers), Polymer Foaming and Composites (6 papers), Innovations in Concrete and Construction Materials (5 papers) and Rheology and Fluid Dynamics Studies (5 papers). The work is most often cited by research in Automotive Engineering (168 citations), Industrial and Manufacturing Engineering (136 citations), Polymers and Plastics (150 citations), Mechanical Engineering (369 citations) and Fluid Flow and Transfer Processes (33 citations). Roberto Spina has collaborated with scholars based in Italy, Germany and Mexico. Frequent co-authors include Christian Hopmann, Luigi Maria Galantucci, Luigi Tricarico, Donald F. Heaney, Teresa Sibillano, Guido Basile, Gottfried Laschet, Gianluca Percoco, Rainer Dahlmann and Michele Dassisti. Their work appears in journals such as Journal of Materials Processing Technology, Polymers, Materials & Design, Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture and International Journal of Precision Engineering and Manufacturing.

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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