Javier Munguía

588 citations
30 papers · 424 indexed · h-index 11

Javier Munguía

29 papers receiving 398 citations

Peers

Javier Munguía
Comparison fields: 5 of 77
  • Automotive Engineering 262
  • Industrial and Manufacturing Engineering 179
  • Mechanical Engineering 159
  • Rehabilitation 21
  • Orthopedics and Sports Medicine 24
Replace Daniele Regazzoni with:
Daniele Regazzoni Italy
Jari Pallari United Kingdom
Jingeng Mai China
Fernando Blaya Haro Spain
Mario C. Faustini United States
Harish Kumar Banga India
Paulus Wisnu Anggoro Indonesia
Jeffrey Wensman United States
Damien Motte Sweden
Khairul Salleh Basaruddin Malaysia
Javier Munguía relative to Daniele Regazzoni Italy Daniele Regazzoni's profile →
Citations per field
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Daniele Regazzoni · 1×
Citations per year

Countries citing papers authored by Javier Munguía

Since Specialization
Citations

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

Fields of papers citing papers by Javier Munguía

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Javier Munguía, 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 Javier Munguía Line = papers co-authored together Javier Munguía links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20231
2 20214
3 20210
4 20182
5 201814
6
Statistical Process Control Application to Polymer Based SLS process
20161
7 20155
8 201525
9 201512
10 20135
11 20133
12 201286
13
Fatigue behavior of additive manufacturing parts. A preliminary analysis
20121
14 201114
15 201023
16 200922
17 200968
18 200826
19 20084
20
In the Search of Design for Rapid Manufacturing Strategies to Solve Functional and Geometrical Issues for Small Series Production
20073

About Javier Munguía

Javier Munguía is a scholar working on Industrial and Manufacturing Engineering, Automotive Engineering and General Dentistry, having authored 30 papers that have together received 424 indexed citations. Recurring topics across this work include Additive Manufacturing and 3D Printing Technologies (15 papers), Manufacturing Process and Optimization (13 papers), Additive Manufacturing Materials and Processes (5 papers), Digital Transformation in Industry (4 papers), Obstructive Sleep Apnea Research (3 papers), Tracheal and airway disorders (3 papers), Anatomy and Medical Technology (3 papers) and Advanced machining processes and optimization (3 papers). The work is most often cited by research in Automotive Engineering (262 citations), Industrial and Manufacturing Engineering (179 citations) and Mechanical Engineering (159 citations). Javier Munguía has collaborated with scholars based in United Kingdom, India and Spain. Frequent co-authors include Kenny Dalgarno, Carles Riba Romeva, Joaquim Ciurana, Jari Pallari, James Woodburn, Scott Telfer, Alain Bernard, Yicha Zhang, K. P. Karunakaran and Michael Drinnan. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Materials Processing Technology and International Journal of Production 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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